Spaces:
Running
Running
gradio-demo
Browse files- README.md +506 -13
- Seoul.csv +0 -0
- Washington.csv +1441 -0
- app.py +230 -0
- readme_files/gradio.svg +23 -0
- readme_files/screenshot.gif +0 -0
README.md
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@@ -1,13 +1,506 @@
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1 |
+
# **Gradio-Demo**
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## - **Gradio**
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[<img src="readme_files/gradio.svg" alt="gradio" width=300>](https://gradio.app)<br>
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Here's the gradio github link: https://github.com/gradio-app/gradio
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Gradio is open-source python library. It can make demo for machine learning model.
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### Gradio is useful for:
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- **Demoing** your machine learning models for clients/collaborators/users/students.
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- **Deploying** your models quickly with automatic shareable links and getting feedback on model performance.
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- **Debugging** your model interactively during development using built-in manipulation and interpretation tools.
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We can use various components for making demos.
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This project provides demo for people who want to use gradio library.
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## - **Demo Description**
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This demo shows 2022 year weather in table and graph by selecting the month, day, weather elements, and location.
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### **Input components**
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Month, day : dropbox<br>
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weather elements : checkboxGroup<br>
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location : radio<br>
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precipitation : checkbox
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Precipitation data has few valid data, so we made a separate component without drawing a graph.
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### **Output components**
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Weather table : dataframe<br>
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Weather graph : plots
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We used pandas and matplotlib python library when we make dataframe and plots.
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Humidity is represented by a bar graph and other weather elements are represented by a curved line graphs.
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### **Function**
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In demo, we made two functions which names are dataSearch and showOutput.
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- dataSearch()
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This function provides obtaining data about the month, day, weather element, and location entered by the user.
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The columns in the csv file are composed of location, date, time, percipitation, wind, humidity, air pressure, and temperature. We took csv files from weather data opening portal.
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```python
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def dataSearch(month, day, weather_elements, location, precipitation):
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if location=='Seoul':
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df = pd.read_csv('Seoul.csv')
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elif location=='Washington':
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df = pd.read_csv('Washington.csv')
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if precipitation:
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weather_elements.append('precipitation')
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if day in ['1','2','3','4','5','6','7','8','9']:
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today = '2022-'+month +'-0'+day
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else:
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today = '2022-'+month+'-'+day
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df1 = df[df.date == today]
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columns = ['location', 'date', 'time'] + weather_elements
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df2 = df1.loc[:, columns]
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return df2
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```
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- showOutput()
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This function represents data obtained from dataSearch() by dataframe and graphs.
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It replaced month with numeric form and the maximum number of plots increased to 2 depending on the weather elements selected.
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```python
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def showOutput(month, day, weather_elements, location, precipitation):
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if month=='January':
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month = '01'
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elif month=='February':
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month = '02'
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elif month=='March':
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month = '03'
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elif month=='April':
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month = '04'
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elif month=='May':
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month = '05'
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elif month=='June':
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month = '06'
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elif month=='July':
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month = '07'
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elif month=='August':
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month = '08'
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elif month=='September':
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month = '09'
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elif month=='October':
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month = '10'
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elif month=='November':
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month = '11'
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elif month=='December':
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month = '12'
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weatherTable = dataSearch(month, day, weather_elements, location, precipitation)
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if precipitation:
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weather_elements.remove('precipitation')
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if day in ['1','2','3','4','5','6','7','8','9']:
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xname = '2022-'+month +'-0'+day
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else:
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xname = '2022-'+month+'-'+day
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y_value=[0]*len(weather_elements)
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for i in range(len(weather_elements)):
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y_value[i] = weatherTable[weather_elements[i]]
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x_value = weatherTable['time']
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if 'humidity' in weather_elements:
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humidity_index = weather_elements.index('humidity')
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if weather_elements[humidity_index] != weather_elements[-1]:
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temp = weather_elements[humidity_index]
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weather_elements[humidity_index] = weather_elements[-1]
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weather_elements[-1] = temp
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if len(weather_elements) == 1:
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weatherPlot = plt.figure(figsize=(10,10))
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plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
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plt.xlabel(xname,labelpad=5, fontsize=15)
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plt.ylabel(weather_elements[0], labelpad=15, fontsize=15)
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plt.xticks(size=10, rotation=45)
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plt.bar(x_value, y_value[-1], color='skyblue', label='1st data')
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plt.legend(loc = "upper left")
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elif len(weather_elements) == 2:
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weatherPlot, ax1 = plt.subplots(figsize=(10,10))
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plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
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plt.xticks(size=10, rotation=45)
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ax1.bar(x_value, y_value[-1], color='skyblue', label='1st data')
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ax1.set_xlabel(xname, labelpad=5, fontsize=15)
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ax1.set_ylabel(weather_elements[1], labelpad=15, fontsize=15)
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ax1.legend(loc='upper left')
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ax1_sub = ax1.twinx()
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ax1_sub.plot(x_value, y_value[0], color='red', marker = "o", label='2nd data')
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ax1_sub.set_ylabel(weather_elements[0], labelpad=25, fontsize=15, rotation=270)
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ax1_sub.legend(loc='upper right')
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elif len(weather_elements) == 3:
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weatherPlot, (ax1, ax2) = plt.subplots(2, 1, figsize=(10,15), constrained_layout=True)
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line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label='1st data')
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ax1.set_xlabel(xname, labelpad=5, fontsize=15)
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ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
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ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
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ax1.tick_params(axis='x', rotation=45, labelsize=10)
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ax1_sub = ax1.twinx()
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line2 = ax1_sub.plot(x_value, y_value[1], color='blue', marker = "o", label='2nd data')
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ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
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lines = line1 + line2
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labels = [l.get_label() for l in lines]
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ax1.legend(lines, labels, loc='upper left')
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ax2.bar(x_value, y_value[-1], color='skyblue', label='3rd data')
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ax2.set_xlabel(xname, labelpad=5, fontsize=15)
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ax2.set_ylabel(weather_elements[-1], labelpad=15, fontsize=15)
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ax2.tick_params(axis='x', rotation=45, labelsize=10)
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ax2.legend(loc='upper right')
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elif len(weather_elements) == 4:
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weatherPlot, (ax1, ax2) = plt.subplots(2,1, figsize=(10,15), constrained_layout=True)
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line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label='1st data')
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ax1.set_xlabel(xname, labelpad=5, fontsize=15)
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ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
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ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
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ax1.tick_params(axis='x', rotation=45, labelsize=10)
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ax1_sub = ax1.twinx()
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line2 = ax1_sub.plot(x_value, y_value[1], color='blue', marker = "o", label='2nd data')
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ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
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lines = line1 + line2
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labels = [l.get_label() for l in lines]
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ax1.legend(lines, labels, loc='upper left')
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ax2.bar(x_value, y_value[-1], color='skyblue', label='3rd data')
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ax2.set_xlabel(xname, labelpad=5, fontsize=15)
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ax2.set_ylabel(weather_elements[-1], labelpad=15, fontsize=15)
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ax2.tick_params(axis='x', rotation=45, labelsize=10)
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ax2.legend(loc='upper left')
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ax2_sub = ax2.twinx()
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ax2_sub.plot(x_value, y_value[2], color='gray', marker = "o", label='4th data')
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ax2_sub.set_ylabel(weather_elements[2], labelpad=25, fontsize=15, rotation=270)
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ax2_sub.legend(loc='upper right')
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else:
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if len(weather_elements) == 1:
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weatherPlot = plt.figure(figsize=(10,10))
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plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
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plt.xlabel(xname,labelpad=5, fontsize=15)
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plt.ylabel(weather_elements[0], labelpad=15, fontsize=15)
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plt.xticks(size=10, rotation=45)
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plt.plot(x_value, y_value[0], color='red', marker='o', label='1st data')
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plt.legend(loc = "upper left")
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elif len(weather_elements) == 2:
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weatherPlot, ax1 = plt.subplots(figsize=(10,10))
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plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
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plt.xticks(size=10, rotation=45)
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line1 = ax1.plot(x_value, y_value[0], color='red', marker='o', label='1st data')
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226 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
227 |
+
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
228 |
+
|
229 |
+
ax1_sub = ax1.twinx()
|
230 |
+
line2 = ax1_sub.plot(x_value, y_value[1], color='skyblue', marker='o', label='2nd data')
|
231 |
+
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
|
232 |
+
|
233 |
+
lines = line1 + line2
|
234 |
+
labels = [l.get_label() for l in lines]
|
235 |
+
ax1.legend(lines, labels, loc='upper left')
|
236 |
+
|
237 |
+
elif len(weather_elements) == 3:
|
238 |
+
weatherPlot, (ax1, ax2) = plt.subplots(2,1, figsize=(10,15), constrained_layout=True)
|
239 |
+
|
240 |
+
line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label='1st data')
|
241 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
242 |
+
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
243 |
+
ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
244 |
+
ax1.tick_params(axis='x', rotation=45, labelsize=10)
|
245 |
+
|
246 |
+
ax1_sub = ax1.twinx()
|
247 |
+
line2 = ax1_sub.plot(x_value, y_value[1], color='skyblue', marker = "o", label='2nd data')
|
248 |
+
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
|
249 |
+
|
250 |
+
lines = line1 + line2
|
251 |
+
labels = [l.get_label() for l in lines]
|
252 |
+
ax1.legend(lines, labels, loc='upper left')
|
253 |
+
|
254 |
+
ax2.plot(x_value, y_value[2], color='gray', marker = "o", label='3rd data')
|
255 |
+
ax2.set_xlabel(xname, labelpad=5, fontsize=15)
|
256 |
+
ax2.set_ylabel(weather_elements[2], labelpad=15, fontsize=15)
|
257 |
+
ax2.tick_params(axis='x', rotation=45, labelsize=10)
|
258 |
+
ax2.legend(loc='upper left')
|
259 |
+
|
260 |
+
return [weatherTable, weatherPlot]
|
261 |
+
```
|
262 |
+
## - Demo Usage
|
263 |
+
|
264 |
+
Before you implement demo, you have to install gradio, pandas, and matplotlib library.
|
265 |
+
|
266 |
+
```bash
|
267 |
+
pip install gradio pandas matplotlib
|
268 |
+
```
|
269 |
+
|
270 |
+
Run the code below as a Python script or in a Jupyter Notebook or google colab.
|
271 |
+
|
272 |
+
We provided demo code as a .ipynb file.
|
273 |
+
|
274 |
+
```python
|
275 |
+
import gradio as gr
|
276 |
+
import pandas as pd
|
277 |
+
import matplotlib.pyplot as plt
|
278 |
+
|
279 |
+
# search weather data that is in csv file
|
280 |
+
def dataSearch(month, day, weather_elements, location, precipitation):
|
281 |
+
if location=='Seoul':
|
282 |
+
df = pd.read_csv('Seoul.csv')
|
283 |
+
elif location=='Washington':
|
284 |
+
df = pd.read_csv('Washington.csv')
|
285 |
+
|
286 |
+
if precipitation:
|
287 |
+
weather_elements.append('precipitation')
|
288 |
+
|
289 |
+
if day in ['1','2','3','4','5','6','7','8','9']:
|
290 |
+
today = '2022-'+month +'-0'+day
|
291 |
+
else:
|
292 |
+
today = '2022-'+month+'-'+day
|
293 |
+
|
294 |
+
df1 = df[df.date == today]
|
295 |
+
columns = ['location', 'date', 'time'] + weather_elements
|
296 |
+
df2 = df1.loc[:, columns]
|
297 |
+
|
298 |
+
return df2
|
299 |
+
|
300 |
+
# show weather data in plot using matplotlib
|
301 |
+
def showOutput(month, day, weather_elements, location, precipitation):
|
302 |
+
if month=='January':
|
303 |
+
month = '01'
|
304 |
+
elif month=='February':
|
305 |
+
month = '02'
|
306 |
+
elif month=='March':
|
307 |
+
month = '03'
|
308 |
+
elif month=='April':
|
309 |
+
month = '04'
|
310 |
+
elif month=='May':
|
311 |
+
month = '05'
|
312 |
+
elif month=='June':
|
313 |
+
month = '06'
|
314 |
+
elif month=='July':
|
315 |
+
month = '07'
|
316 |
+
elif month=='August':
|
317 |
+
month = '08'
|
318 |
+
elif month=='September':
|
319 |
+
month = '09'
|
320 |
+
elif month=='October':
|
321 |
+
month = '10'
|
322 |
+
elif month=='November':
|
323 |
+
month = '11'
|
324 |
+
elif month=='December':
|
325 |
+
month = '12'
|
326 |
+
|
327 |
+
weatherTable = dataSearch(month, day, weather_elements, location, precipitation)
|
328 |
+
|
329 |
+
if precipitation:
|
330 |
+
weather_elements.remove('precipitation')
|
331 |
+
|
332 |
+
if day in ['1','2','3','4','5','6','7','8','9']:
|
333 |
+
xname = '2022-'+month +'-0'+day
|
334 |
+
else:
|
335 |
+
xname = '2022-'+month+'-'+day
|
336 |
+
|
337 |
+
y_value=[0]*len(weather_elements)
|
338 |
+
|
339 |
+
for i in range(len(weather_elements)):
|
340 |
+
y_value[i] = weatherTable[weather_elements[i]]
|
341 |
+
|
342 |
+
x_value = weatherTable['time']
|
343 |
+
|
344 |
+
if 'humidity' in weather_elements:
|
345 |
+
humidity_index = weather_elements.index('humidity')
|
346 |
+
if weather_elements[humidity_index] != weather_elements[-1]:
|
347 |
+
temp = weather_elements[humidity_index]
|
348 |
+
weather_elements[humidity_index] = weather_elements[-1]
|
349 |
+
weather_elements[-1] = temp
|
350 |
+
|
351 |
+
|
352 |
+
if len(weather_elements) == 1:
|
353 |
+
weatherPlot = plt.figure(figsize=(10,10))
|
354 |
+
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
355 |
+
plt.xlabel(xname,labelpad=5, fontsize=15)
|
356 |
+
plt.ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
357 |
+
plt.xticks(size=10, rotation=45)
|
358 |
+
|
359 |
+
plt.bar(x_value, y_value[-1], color='skyblue', label='1st data')
|
360 |
+
plt.legend(loc = "upper left")
|
361 |
+
|
362 |
+
elif len(weather_elements) == 2:
|
363 |
+
weatherPlot, ax1 = plt.subplots(figsize=(10,10))
|
364 |
+
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
365 |
+
plt.xticks(size=10, rotation=45)
|
366 |
+
|
367 |
+
ax1.bar(x_value, y_value[-1], color='skyblue', label='1st data')
|
368 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
369 |
+
ax1.set_ylabel(weather_elements[1], labelpad=15, fontsize=15)
|
370 |
+
ax1.legend(loc='upper left')
|
371 |
+
|
372 |
+
ax1_sub = ax1.twinx()
|
373 |
+
ax1_sub.plot(x_value, y_value[0], color='red', marker = "o", label='2nd data')
|
374 |
+
ax1_sub.set_ylabel(weather_elements[0], labelpad=25, fontsize=15, rotation=270)
|
375 |
+
ax1_sub.legend(loc='upper right')
|
376 |
+
|
377 |
+
elif len(weather_elements) == 3:
|
378 |
+
weatherPlot, (ax1, ax2) = plt.subplots(2, 1, figsize=(10,15), constrained_layout=True)
|
379 |
+
|
380 |
+
line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label='1st data')
|
381 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
382 |
+
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
383 |
+
ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
384 |
+
ax1.tick_params(axis='x', rotation=45, labelsize=10)
|
385 |
+
|
386 |
+
ax1_sub = ax1.twinx()
|
387 |
+
line2 = ax1_sub.plot(x_value, y_value[1], color='blue', marker = "o", label='2nd data')
|
388 |
+
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
|
389 |
+
|
390 |
+
lines = line1 + line2
|
391 |
+
labels = [l.get_label() for l in lines]
|
392 |
+
ax1.legend(lines, labels, loc='upper left')
|
393 |
+
|
394 |
+
ax2.bar(x_value, y_value[-1], color='skyblue', label='3rd data')
|
395 |
+
ax2.set_xlabel(xname, labelpad=5, fontsize=15)
|
396 |
+
ax2.set_ylabel(weather_elements[-1], labelpad=15, fontsize=15)
|
397 |
+
ax2.tick_params(axis='x', rotation=45, labelsize=10)
|
398 |
+
ax2.legend(loc='upper right')
|
399 |
+
|
400 |
+
elif len(weather_elements) == 4:
|
401 |
+
weatherPlot, (ax1, ax2) = plt.subplots(2,1, figsize=(10,15), constrained_layout=True)
|
402 |
+
|
403 |
+
line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label='1st data')
|
404 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
405 |
+
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
406 |
+
ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
407 |
+
ax1.tick_params(axis='x', rotation=45, labelsize=10)
|
408 |
+
|
409 |
+
ax1_sub = ax1.twinx()
|
410 |
+
line2 = ax1_sub.plot(x_value, y_value[1], color='blue', marker = "o", label='2nd data')
|
411 |
+
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
|
412 |
+
|
413 |
+
lines = line1 + line2
|
414 |
+
labels = [l.get_label() for l in lines]
|
415 |
+
ax1.legend(lines, labels, loc='upper left')
|
416 |
+
|
417 |
+
ax2.bar(x_value, y_value[-1], color='skyblue', label='3rd data')
|
418 |
+
ax2.set_xlabel(xname, labelpad=5, fontsize=15)
|
419 |
+
ax2.set_ylabel(weather_elements[-1], labelpad=15, fontsize=15)
|
420 |
+
ax2.tick_params(axis='x', rotation=45, labelsize=10)
|
421 |
+
ax2.legend(loc='upper left')
|
422 |
+
|
423 |
+
ax2_sub = ax2.twinx()
|
424 |
+
ax2_sub.plot(x_value, y_value[2], color='gray', marker = "o", label='4th data')
|
425 |
+
ax2_sub.set_ylabel(weather_elements[2], labelpad=25, fontsize=15, rotation=270)
|
426 |
+
ax2_sub.legend(loc='upper right')
|
427 |
+
|
428 |
+
|
429 |
+
else:
|
430 |
+
if len(weather_elements) == 1:
|
431 |
+
weatherPlot = plt.figure(figsize=(10,10))
|
432 |
+
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
433 |
+
plt.xlabel(xname,labelpad=5, fontsize=15)
|
434 |
+
plt.ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
435 |
+
plt.xticks(size=10, rotation=45)
|
436 |
+
plt.plot(x_value, y_value[0], color='red', marker='o', label='1st data')
|
437 |
+
plt.legend(loc = "upper left")
|
438 |
+
|
439 |
+
elif len(weather_elements) == 2:
|
440 |
+
weatherPlot, ax1 = plt.subplots(figsize=(10,10))
|
441 |
+
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
442 |
+
plt.xticks(size=10, rotation=45)
|
443 |
+
|
444 |
+
line1 = ax1.plot(x_value, y_value[0], color='red', marker='o', label='1st data')
|
445 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
446 |
+
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
447 |
+
|
448 |
+
ax1_sub = ax1.twinx()
|
449 |
+
line2 = ax1_sub.plot(x_value, y_value[1], color='skyblue', marker='o', label='2nd data')
|
450 |
+
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
|
451 |
+
|
452 |
+
lines = line1 + line2
|
453 |
+
labels = [l.get_label() for l in lines]
|
454 |
+
ax1.legend(lines, labels, loc='upper left')
|
455 |
+
|
456 |
+
elif len(weather_elements) == 3:
|
457 |
+
weatherPlot, (ax1, ax2) = plt.subplots(2,1, figsize=(10,15), constrained_layout=True)
|
458 |
+
|
459 |
+
line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label='1st data')
|
460 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
461 |
+
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
462 |
+
ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
463 |
+
ax1.tick_params(axis='x', rotation=45, labelsize=10)
|
464 |
+
|
465 |
+
ax1_sub = ax1.twinx()
|
466 |
+
line2 = ax1_sub.plot(x_value, y_value[1], color='skyblue', marker = "o", label='2nd data')
|
467 |
+
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
|
468 |
+
|
469 |
+
lines = line1 + line2
|
470 |
+
labels = [l.get_label() for l in lines]
|
471 |
+
ax1.legend(lines, labels, loc='upper left')
|
472 |
+
|
473 |
+
ax2.plot(x_value, y_value[2], color='gray', marker = "o", label='3rd data')
|
474 |
+
ax2.set_xlabel(xname, labelpad=5, fontsize=15)
|
475 |
+
ax2.set_ylabel(weather_elements[2], labelpad=15, fontsize=15)
|
476 |
+
ax2.tick_params(axis='x', rotation=45, labelsize=10)
|
477 |
+
ax2.legend(loc='upper left')
|
478 |
+
|
479 |
+
return [weatherTable, weatherPlot]
|
480 |
+
|
481 |
+
output1 = gr.Dataframe()
|
482 |
+
output2 = gr.Plot()
|
483 |
+
|
484 |
+
# make gradio interface
|
485 |
+
demo = gr.Interface(
|
486 |
+
fn=showOutput,
|
487 |
+
inputs=[
|
488 |
+
gr.Dropdown(["January", "February", "March", "April", "May","June",
|
489 |
+
"July", "August", "September", "October", "November", "December"],label="Month", info="Select Months"),
|
490 |
+
gr.Dropdown(["1", "2", "3", "4", "5", "6", "7", "8", "9", "10",
|
491 |
+
"11", "12", "13", "14", "15", "16", "17", "18", "19", "20",
|
492 |
+
"21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31"], label="Day", info="Select Day"),
|
493 |
+
gr.CheckboxGroup(["temperature(˚C)", "wind(m/s)", "humidity(%)", "air_pressure(hPa)"],
|
494 |
+
label="Weather element", info="Choose weather element"),
|
495 |
+
gr.Radio(["Washington", "Seoul"], label="Location", info="Choose location"),
|
496 |
+
gr.Checkbox(label="precipation?")],
|
497 |
+
outputs=[output1,output2]
|
498 |
+
)
|
499 |
+
|
500 |
+
if __name__=="__main__":
|
501 |
+
demo.launch()
|
502 |
+
```
|
503 |
+
|
504 |
+
The demo below will appear automatically within the Jupyter Notebook, or pop in a browser on http://localhost:7860 if running from a script:
|
505 |
+
|
506 |
+
![weather data demo](readme_files/screenshot.gif)
|
Seoul.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|
Washington.csv
ADDED
@@ -0,0 +1,1441 @@
|
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|
1 |
+
location,date,time,precipitation(mm),air_pressure(hPa),temperature(˚C),wind(m/s),humidity(%)
|
2 |
+
Washington,2022-01-01,6:00:00 AM,1,999.4,13.9,6,93.1
|
3 |
+
Washington,2022-01-01,12:00:00 PM,0,998.7,13.9,4,96.2
|
4 |
+
Washington,2022-01-01,6:00:00 PM,8,994.7,15,3,93.1
|
5 |
+
Washington,2022-01-02,12:00:00 AM,0,991,15.6,6,96.2
|
6 |
+
Washington,2022-01-02,6:00:00 AM,9,991.3,12.8,0,96.1
|
7 |
+
Washington,2022-01-02,12:00:00 PM,1,992.3,13.3,0,96.8
|
8 |
+
Washington,2022-01-02,6:00:00 PM,0,994.3,16.7,4,86.3
|
9 |
+
Washington,2022-01-03,12:00:00 AM,0,1001,12.2,14,64
|
10 |
+
Washington,2022-01-03,6:00:00 PM,10,1005.4,-1.1,17,65.7
|
11 |
+
Washington,2022-01-04,12:00:00 AM,0,1012.1,-0.6,7,53.4
|
12 |
+
Washington,2022-01-04,6:00:00 AM,0,1016.5,-2.8,10,62.8
|
13 |
+
Washington,2022-01-04,12:00:00 PM,0,1018.8,-8.3,0,91.8
|
14 |
+
Washington,2022-01-04,6:00:00 PM,0,1018.8,-1.1,6,74.8
|
15 |
+
Washington,2022-01-05,12:00:00 AM,0,1015.5,-2.2,4,84.8
|
16 |
+
Washington,2022-01-05,6:00:00 AM,0,1011.4,-3.3,6,84.1
|
17 |
+
Washington,2022-01-05,12:00:00 PM,0,1005.7,-1.1,5,81.2
|
18 |
+
Washington,2022-01-05,6:00:00 PM,0,999,2.2,8,75.4
|
19 |
+
Washington,2022-01-06,12:00:00 AM,0,996.7,0.6,4,88.4
|
20 |
+
Washington,2022-01-06,6:00:00 AM,0,996.7,1.7,3,88.5
|
21 |
+
Washington,2022-01-06,12:00:00 PM,0,1001.7,-1.1,0,74.8
|
22 |
+
Washington,2022-01-06,6:00:00 PM,0,1003,5,7,42.5
|
23 |
+
Washington,2022-01-07,12:00:00 AM,0,1001.7,2.8,5,51.9
|
24 |
+
Washington,2022-01-07,6:00:00 AM,1,998,0,8,88.3
|
25 |
+
Washington,2022-01-07,12:00:00 PM,6,1002.7,-2.8,15,68.4
|
26 |
+
Washington,2022-01-07,6:00:00 PM,0,1007.1,-2.2,22,50.5
|
27 |
+
Washington,2022-01-08,12:00:00 AM,0,1014.5,-4.4,12,54.5
|
28 |
+
Washington,2022-01-08,6:00:00 AM,0,1019.2,-6.1,5,59
|
29 |
+
Washington,2022-01-08,12:00:00 PM,0,1023.9,-7.8,5,64.6
|
30 |
+
Washington,2022-01-08,6:00:00 PM,0,1025.2,-1.1,0,44.4
|
31 |
+
Washington,2022-01-09,12:00:00 AM,0,1024.5,-1.7,4,46.4
|
32 |
+
Washington,2022-01-09,6:00:00 AM,0,1020.5,-1.1,9,50.8
|
33 |
+
Washington,2022-01-09,12:00:00 PM,0,1014.5,-0.6,7,58.2
|
34 |
+
Washington,2022-01-09,6:00:00 PM,3,1009.4,2.2,4,92.4
|
35 |
+
Washington,2022-01-10,12:00:00 AM,5,1006.1,4.4,6,96.5
|
36 |
+
Washington,2022-01-10,6:00:00 AM,0,1008.7,4.4,21,64.5
|
37 |
+
Washington,2022-01-10,12:00:00 PM,0,1012.1,-1.1,17,40.6
|
38 |
+
Washington,2022-01-10,6:00:00 PM,0,1012.4,1.1,9,39.7
|
39 |
+
Washington,2022-01-11,12:00:00 AM,0,1013.8,-0.6,17,49
|
40 |
+
Washington,2022-01-11,6:00:00 AM,0,1016.1,-3.3,8,47.8
|
41 |
+
Washington,2022-01-11,12:00:00 PM,0,1022.2,-5.6,8,56.8
|
42 |
+
Washington,2022-01-11,6:00:00 PM,0,1023.2,-3.3,9,36.4
|
43 |
+
Washington,2022-01-12,12:00:00 AM,0,1022.5,-5,4,45.4
|
44 |
+
Washington,2022-01-12,6:00:00 AM,0,1018.8,-6.7,4,61.8
|
45 |
+
Washington,2022-01-12,12:00:00 PM,0,1013.1,-3.9,11,57.3
|
46 |
+
Washington,2022-01-12,6:00:00 PM,0,1008.4,6.1,8,36.1
|
47 |
+
Washington,2022-01-13,12:00:00 AM,0,1007.4,5.6,5,42.6
|
48 |
+
Washington,2022-01-13,6:00:00 AM,0,1006.4,0.6,0,69.1
|
49 |
+
Washington,2022-01-14,12:00:00 AM,0,1000,6.7,4,48.8
|
50 |
+
Washington,2022-01-14,6:00:00 AM,0,998.7,0.6,3,75.1
|
51 |
+
Washington,2022-01-14,12:00:00 PM,0,999,0.6,6,77.9
|
52 |
+
Washington,2022-01-14,6:00:00 PM,0,1000.4,6.7,14,65
|
53 |
+
Washington,2022-01-15,12:00:00 AM,0,1004.4,4.4,11,59.5
|
54 |
+
Washington,2022-01-15,6:00:00 AM,0,1007.7,-0.6,12,53.4
|
55 |
+
Washington,2022-01-15,12:00:00 PM,0,1012.1,-4.4,10,49.8
|
56 |
+
Washington,2022-01-15,6:00:00 PM,0,1015.5,-3.3,10,33.2
|
57 |
+
Washington,2022-01-16,12:00:00 AM,0,1016.5,-5,9,35.9
|
58 |
+
Washington,2022-01-16,6:00:00 AM,0,1016.8,-8.3,6,48.7
|
59 |
+
Washington,2022-01-16,12:00:00 PM,0,1016.1,-9.4,5,55.3
|
60 |
+
Washington,2022-01-16,6:00:00 PM,0,1009.8,-5.6,8,52
|
61 |
+
Washington,2022-01-17,12:00:00 AM,11,996.3,-1.7,11,88.8
|
62 |
+
Washington,2022-01-17,6:00:00 AM,19,975.2,3.9,0,95.9
|
63 |
+
Washington,2022-01-17,12:00:00 PM,1,976.2,0.6,11,88.4
|
64 |
+
Washington,2022-01-17,6:00:00 PM,0,981.6,2.2,17,51.7
|
65 |
+
Washington,2022-01-18,12:00:00 AM,0,989.6,1.1,12,47.2
|
66 |
+
Washington,2022-01-18,6:00:00 AM,0,996,0.6,14,58
|
67 |
+
Washington,2022-01-18,12:00:00 PM,0,1002.7,1.1,6,56
|
68 |
+
Washington,2022-01-18,6:00:00 PM,0,1008.1,2.2,14,54.2
|
69 |
+
Washington,2022-01-19,12:00:00 AM,0,1010.4,-2.2,0,71.2
|
70 |
+
Washington,2022-01-19,6:00:00 AM,0,1010.4,-2.8,5,71.7
|
71 |
+
Washington,2022-01-19,12:00:00 PM,0,1008.7,0,8,63.5
|
72 |
+
Washington,2022-01-19,6:00:00 PM,0,1005.7,7.2,13,43.4
|
73 |
+
Washington,2022-01-20,12:00:00 AM,0,1005.1,8.9,8,43.6
|
74 |
+
Washington,2022-01-20,6:00:00 AM,2,1005.1,3.9,3,92.5
|
75 |
+
Washington,2022-01-20,12:00:00 PM,8,1007.4,5,6,88.7
|
76 |
+
Washington,2022-01-20,6:00:00 PM,3,1011.8,1.7,13,58.3
|
77 |
+
Washington,2022-01-21,12:00:00 AM,0,1015.5,-0.6,13,44.9
|
78 |
+
Washington,2022-01-21,6:00:00 AM,0,1018.5,-4.4,10,49.8
|
79 |
+
Washington,2022-01-21,12:00:00 PM,0,1021.8,-7.8,11,53.5
|
80 |
+
Washington,2022-01-21,6:00:00 PM,0,1022.2,-6.1,11,46.9
|
81 |
+
Washington,2022-01-22,12:00:00 AM,0,1021.8,-5.6,8,49.9
|
82 |
+
Washington,2022-01-22,6:00:00 AM,0,1020.2,-7.2,7,51.1
|
83 |
+
Washington,2022-01-22,12:00:00 PM,0,1019.2,-8.9,7,51
|
84 |
+
Washington,2022-01-22,6:00:00 PM,0,1016.1,-2.2,6,29.1
|
85 |
+
Washington,2022-01-23,12:00:00 AM,0,1011.8,-5,0,54.3
|
86 |
+
Washington,2022-01-23,6:00:00 AM,0,1008.1,-4.4,0,47.4
|
87 |
+
Washington,2022-01-23,12:00:00 PM,0,1005.4,-7.8,0,73.5
|
88 |
+
Washington,2022-01-23,6:00:00 PM,0,1000,3.3,8,33.9
|
89 |
+
Washington,2022-01-24,12:00:00 AM,0,997.3,1.1,0,49.5
|
90 |
+
Washington,2022-01-24,6:00:00 AM,0,998.7,1.7,3,58.3
|
91 |
+
Washington,2022-01-24,12:00:00 PM,0,1002.4,-2.2,5,62.9
|
92 |
+
Washington,2022-01-24,6:00:00 PM,0,1000,3.3,9,43.9
|
93 |
+
Washington,2022-01-25,12:00:00 AM,0,998,2.8,7,59.1
|
94 |
+
Washington,2022-01-25,6:00:00 AM,0,998,1.1,4,58.6
|
95 |
+
Washington,2022-01-25,12:00:00 PM,0,1000.4,-1.7,0,78.1
|
96 |
+
Washington,2022-01-25,6:00:00 PM,0,1003.7,6.7,10,55
|
97 |
+
Washington,2022-01-26,12:00:00 AM,0,1009.8,0.6,14,47
|
98 |
+
Washington,2022-01-26,6:00:00 AM,0,1012.8,-3.3,9,50.1
|
99 |
+
Washington,2022-01-26,12:00:00 PM,0,1016.1,-7.8,0,64.6
|
100 |
+
Washington,2022-01-26,6:00:00 PM,0,1017.1,-1.1,7,37.1
|
101 |
+
Washington,2022-01-27,12:00:00 AM,0,1018.8,-3.3,6,43.7
|
102 |
+
Washington,2022-01-27,6:00:00 AM,0,1020.5,-8.9,3,64.3
|
103 |
+
Washington,2022-01-27,12:00:00 PM,0,1020.2,-11.7,0,76.5
|
104 |
+
Washington,2022-01-27,6:00:00 PM,0,1016.8,0,10,40.9
|
105 |
+
Washington,2022-01-28,12:00:00 AM,0,1013.8,1.1,5,41.3
|
106 |
+
Washington,2022-01-28,6:00:00 AM,0,1010.8,-0.6,0,53.4
|
107 |
+
Washington,2022-01-28,12:00:00 PM,0,1008.7,-0.6,0,60.9
|
108 |
+
Washington,2022-01-28,6:00:00 PM,0,1006.4,2.8,5,66.6
|
109 |
+
Washington,2022-01-29,12:00:00 AM,3,1004.1,0.6,7,91.6
|
110 |
+
Washington,2022-01-29,6:00:00 AM,1,1001,-0.6,12,85
|
111 |
+
Washington,2022-01-29,12:00:00 PM,0,1000.4,-5,13,71.2
|
112 |
+
Washington,2022-01-29,6:00:00 PM,0,1001,-4.4,21,41.2
|
113 |
+
Washington,2022-01-30,12:00:00 AM,0,1002.7,-6.1,12,41.1
|
114 |
+
Washington,2022-01-30,6:00:00 AM,0,1005.7,-7.8,10,48.8
|
115 |
+
Washington,2022-01-30,12:00:00 PM,0,1007.7,-11.1,0,63.3
|
116 |
+
Washington,2022-01-30,6:00:00 PM,0,1006.7,-2.8,9,40.4
|
117 |
+
Washington,2022-01-31,12:00:00 AM,0,1007.1,-1.7,0,50.6
|
118 |
+
Washington,2022-01-31,6:00:00 AM,0,1009.4,-2.8,0,50.3
|
119 |
+
Washington,2022-01-31,12:00:00 PM,0,1011.8,-5,3,64.8
|
120 |
+
Washington,2022-01-31,6:00:00 PM,0,1014.5,2.2,3,45.7
|
121 |
+
Washington,2022-02-01,12:00:00 AM,0,1016.1,-0.6,7,53.4
|
122 |
+
Washington,2022-02-01,6:00:00 AM,0,1019.2,-4.4,0,68.1
|
123 |
+
Washington,2022-02-01,12:00:00 PM,0,1020.8,-7.8,0,80.3
|
124 |
+
Washington,2022-02-01,6:00:00 PM,0,1020.5,5,3,42.5
|
125 |
+
Washington,2022-02-02,12:00:00 AM,0,1020.2,-0.6,4,66.3
|
126 |
+
Washington,2022-02-02,6:00:00 AM,0,1019.8,-0.6,3,78.3
|
127 |
+
Washington,2022-02-02,12:00:00 PM,0,1019.2,0,0,92.3
|
128 |
+
Washington,2022-02-02,6:00:00 PM,0,1017.8,7.2,8,55.5
|
129 |
+
Washington,2022-02-03,12:00:00 AM,0,1014.1,5.6,5,67.2
|
130 |
+
Washington,2022-02-03,6:00:00 AM,0,1013.8,5,4,88.7
|
131 |
+
Washington,2022-02-03,12:00:00 PM,6,1013.1,5.6,0,92
|
132 |
+
Washington,2022-02-03,6:00:00 PM,7,1010.8,8.3,5,92.8
|
133 |
+
Washington,2022-02-04,12:00:00 AM,2,1006.4,9.4,4,96.7
|
134 |
+
Washington,2022-02-04,6:00:00 AM,1,1001,12.8,9,93
|
135 |
+
Washington,2022-02-04,12:00:00 PM,3,1000,10,11,89.2
|
136 |
+
Washington,2022-02-04,6:00:00 PM,8,1001.7,3.9,11,88.6
|
137 |
+
Washington,2022-02-05,12:00:00 AM,5,1006.1,3.3,10,72.8
|
138 |
+
Washington,2022-02-05,6:00:00 AM,0,1008.4,0,8,65.9
|
139 |
+
Washington,2022-02-05,12:00:00 PM,0,1012.8,-1.1,9,55.4
|
140 |
+
Washington,2022-02-05,6:00:00 PM,0,1018.1,0,14,40.9
|
141 |
+
Washington,2022-02-06,12:00:00 AM,0,1021.5,3.3,10,27
|
142 |
+
Washington,2022-02-06,6:00:00 AM,0,1023.2,-4.4,0,56.7
|
143 |
+
Washington,2022-02-06,12:00:00 PM,0,1024.5,-6.7,0,70.9
|
144 |
+
Washington,2022-02-06,6:00:00 PM,0,1022.2,0.6,5,42.8
|
145 |
+
Washington,2022-02-07,12:00:00 AM,0,1019.8,-0.6,6,44.9
|
146 |
+
Washington,2022-02-07,6:00:00 AM,0,1017.8,-3.3,0,68.3
|
147 |
+
Washington,2022-02-07,12:00:00 PM,0,1015.8,-2.8,3,62.8
|
148 |
+
Washington,2022-02-07,6:00:00 PM,0,1012.1,5,0,52.5
|
149 |
+
Washington,2022-02-08,12:00:00 AM,0,1008.1,2.8,3,78.3
|
150 |
+
Washington,2022-02-08,6:00:00 AM,0,1004.7,-1.7,0,81.8
|
151 |
+
Washington,2022-02-08,12:00:00 PM,0,1006.1,-3.9,0,84.6
|
152 |
+
Washington,2022-02-08,6:00:00 PM,0,1006.4,7.2,10,36.5
|
153 |
+
Washington,2022-02-09,12:00:00 AM,0,1007.7,3.3,3,37
|
154 |
+
Washington,2022-02-09,6:00:00 AM,0,1007.7,-3.9,0,74.3
|
155 |
+
Washington,2022-02-09,12:00:00 PM,0,1007.4,-5.6,0,81.2
|
156 |
+
Washington,2022-02-09,6:00:00 PM,0,1003.7,12.2,7,33.7
|
157 |
+
Washington,2022-02-10,12:00:00 AM,0,1000.7,9.4,5,37.4
|
158 |
+
Washington,2022-02-10,6:00:00 AM,0,1001,7.8,5,45.3
|
159 |
+
Washington,2022-02-10,12:00:00 PM,0,1001.4,1.1,5,69.2
|
160 |
+
Washington,2022-02-10,6:00:00 PM,0,1000.4,13.3,13,31.4
|
161 |
+
Washington,2022-02-11,12:00:00 AM,0,1001.7,7.2,3,41.5
|
162 |
+
Washington,2022-02-11,6:00:00 AM,0,1003.4,-1.1,0,71.4
|
163 |
+
Washington,2022-02-11,12:00:00 PM,0,1004.7,-3.3,3,80.9
|
164 |
+
Washington,2022-02-11,6:00:00 PM,0,1001,17.2,20,25.3
|
165 |
+
Washington,2022-02-12,12:00:00 AM,0,999.7,15.6,9,27
|
166 |
+
Washington,2022-02-12,6:00:00 AM,0,1000.4,13.3,12,35.3
|
167 |
+
Washington,2022-02-12,12:00:00 PM,0,1002.4,8.3,4,51.5
|
168 |
+
Washington,2022-02-12,6:00:00 PM,0,1005.4,12.2,8,46.6
|
169 |
+
Washington,2022-02-13,12:00:00 AM,0,1007.4,11.1,8,39.4
|
170 |
+
Washington,2022-02-13,6:00:00 AM,1,1009.1,2.8,12,85.4
|
171 |
+
Washington,2022-02-13,12:00:00 PM,4,1009.8,0.6,9,88.4
|
172 |
+
Washington,2022-02-13,6:00:00 PM,1,1009.1,0,7,75
|
173 |
+
Washington,2022-02-14,12:00:00 AM,0,1007.1,-0.6,7,58.2
|
174 |
+
Washington,2022-02-14,6:00:00 AM,0,1007.4,-2.2,5,68.5
|
175 |
+
Washington,2022-02-14,12:00:00 PM,0,1011.1,-5,7,67.9
|
176 |
+
Washington,2022-02-14,6:00:00 PM,0,1013.4,-2.2,11,44
|
177 |
+
Washington,2022-02-15,12:00:00 AM,0,1016.8,-3.3,4,39.9
|
178 |
+
Washington,2022-02-15,6:00:00 AM,0,1021.2,-5,3,47.7
|
179 |
+
Washington,2022-02-15,12:00:00 PM,0,1024.5,-8.3,4,67.2
|
180 |
+
Washington,2022-02-15,6:00:00 PM,0,1026.2,1.7,3,39.5
|
181 |
+
Washington,2022-02-16,12:00:00 AM,0,1025.9,0.6,4,42.8
|
182 |
+
Washington,2022-02-16,6:00:00 AM,0,1026.9,-0.6,5,63.3
|
183 |
+
Washington,2022-02-16,12:00:00 PM,0,1026.2,-2.2,5,74.6
|
184 |
+
Washington,2022-02-16,6:00:00 PM,0,1022.8,10,15,39
|
185 |
+
Washington,2022-02-17,12:00:00 AM,0,1017.8,10,5,47.6
|
186 |
+
Washington,2022-02-17,6:00:00 AM,0,1015.8,8.3,10,65.4
|
187 |
+
Washington,2022-02-17,12:00:00 PM,0,1012.1,11.1,12,68.8
|
188 |
+
Washington,2022-02-17,6:00:00 PM,0,1006.1,17.2,14,62.6
|
189 |
+
Washington,2022-02-18,12:00:00 AM,0,996.3,20,12,48.8
|
190 |
+
Washington,2022-02-18,6:00:00 AM,0,989.6,19.4,20,61
|
191 |
+
Washington,2022-02-18,12:00:00 PM,1,994,10.6,24,56
|
192 |
+
Washington,2022-02-18,6:00:00 PM,0,1004.4,6.7,19,41.1
|
193 |
+
Washington,2022-02-19,12:00:00 AM,0,1008.1,1.7,12,45.2
|
194 |
+
Washington,2022-02-19,6:00:00 AM,0,1009.1,-4.4,0,68.1
|
195 |
+
Washington,2022-02-19,12:00:00 PM,0,1006.7,-3.9,9,68.2
|
196 |
+
Washington,2022-02-19,6:00:00 PM,0,1003.7,7.8,27,29.5
|
197 |
+
Washington,2022-02-20,12:00:00 AM,0,1014.5,-0.6,15,29.8
|
198 |
+
Washington,2022-02-20,6:00:00 AM,0,1019.5,-5,4,37.8
|
199 |
+
Washington,2022-02-20,12:00:00 PM,0,1021.2,-8.3,3,61.4
|
200 |
+
Washington,2022-02-20,6:00:00 PM,0,1019.5,2.8,6,28
|
201 |
+
Washington,2022-02-21,12:00:00 AM,0,1015.8,4.4,6,25
|
202 |
+
Washington,2022-02-21,6:00:00 AM,0,1014.5,3.3,12,32.3
|
203 |
+
Washington,2022-02-21,12:00:00 PM,0,1015.1,-1.7,3,53.1
|
204 |
+
Washington,2022-02-21,6:00:00 PM,0,1013.8,17.8,10,19
|
205 |
+
Washington,2022-02-22,12:00:00 AM,0,1013.4,14.4,6,24.6
|
206 |
+
Washington,2022-02-22,6:00:00 AM,0,1013.4,10.6,5,49.9
|
207 |
+
Washington,2022-02-22,12:00:00 PM,0,1011.8,7.2,4,82.4
|
208 |
+
Washington,2022-02-22,6:00:00 PM,0,1008.1,16.7,14,77.8
|
209 |
+
Washington,2022-02-23,12:00:00 AM,1,1005.4,18.3,21,72.6
|
210 |
+
Washington,2022-02-23,6:00:00 AM,0,1004.4,17.8,11,69.7
|
211 |
+
Washington,2022-02-23,12:00:00 PM,0,1005.1,15.6,10,80.2
|
212 |
+
Washington,2022-02-23,6:00:00 PM,0,1005.7,21.7,10,50.9
|
213 |
+
Washington,2022-02-24,12:00:00 AM,0,1010.4,12.8,13,41.3
|
214 |
+
Washington,2022-02-24,6:00:00 AM,0,1015.5,3.9,12,54.6
|
215 |
+
Washington,2022-02-24,12:00:00 PM,0,1017.8,2.2,7,54.2
|
216 |
+
Washington,2022-02-24,6:00:00 PM,4,1019.2,0.6,7,88.4
|
217 |
+
Washington,2022-02-25,12:00:00 AM,3,1017.1,0.6,5,88.4
|
218 |
+
Washington,2022-02-25,6:00:00 AM,12,1013.8,0.6,7,88.4
|
219 |
+
Washington,2022-02-25,12:00:00 PM,0,1005.4,0.6,8,91.6
|
220 |
+
Washington,2022-02-25,6:00:00 PM,1,1006.1,10,5,74.1
|
221 |
+
Washington,2022-02-26,12:00:00 AM,0,1013.1,6.1,19,52.8
|
222 |
+
Washington,2022-02-26,6:00:00 AM,0,1018.1,1.7,11,56.1
|
223 |
+
Washington,2022-02-26,12:00:00 PM,0,1020.8,0,12,51.1
|
224 |
+
Washington,2022-02-26,6:00:00 PM,0,1019.2,3.3,3,46
|
225 |
+
Washington,2022-02-27,12:00:00 AM,0,1016.1,2.8,0,59.1
|
226 |
+
Washington,2022-02-27,6:00:00 AM,0,1013.4,-1.1,0,74.8
|
227 |
+
Washington,2022-02-27,12:00:00 PM,0,1011.4,-1.1,8,74.8
|
228 |
+
Washington,2022-02-27,6:00:00 PM,0,1007.1,10,12,25.4
|
229 |
+
Washington,2022-02-28,12:00:00 AM,0,1004.7,8.3,9,27.4
|
230 |
+
Washington,2022-02-28,6:00:00 AM,0,1007.4,5,7,39
|
231 |
+
Washington,2022-02-28,12:00:00 PM,0,1011.8,3.3,4,54.5
|
232 |
+
Washington,2022-02-28,6:00:00 PM,0,1013.4,7.8,7,36.7
|
233 |
+
Washington,2022-03-01,12:00:00 AM,0,1012.1,5.6,6,42.6
|
234 |
+
Washington,2022-03-01,6:00:00 AM,0,1012.8,0.6,5,71.8
|
235 |
+
Washington,2022-03-01,12:00:00 PM,0,1011.4,-0.6,8,81.9
|
236 |
+
Washington,2022-03-01,6:00:00 PM,0,1006.7,8.9,4,53.6
|
237 |
+
Washington,2022-03-02,12:00:00 AM,0,1003.4,11.1,11,42.7
|
238 |
+
Washington,2022-03-02,6:00:00 AM,0,1004.1,8.9,4,51.3
|
239 |
+
Washington,2022-03-02,12:00:00 PM,0,1005.7,0.6,0,84.5
|
240 |
+
Washington,2022-03-02,6:00:00 PM,0,1005.4,15,4,42
|
241 |
+
Washington,2022-03-03,12:00:00 AM,0,1003,12.2,6,50.4
|
242 |
+
Washington,2022-03-03,6:00:00 AM,0,1000.7,6.1,14,73.4
|
243 |
+
Washington,2022-03-03,12:00:00 PM,0,1004.4,10,15,60.9
|
244 |
+
Washington,2022-03-03,6:00:00 PM,0,1008.4,11.7,14,33.3
|
245 |
+
Washington,2022-03-04,12:00:00 AM,0,1012.8,7.8,8,23.6
|
246 |
+
Washington,2022-03-04,6:00:00 AM,0,1019.5,0,4,39.3
|
247 |
+
Washington,2022-03-04,12:00:00 PM,0,1022.8,-4.4,5,51.9
|
248 |
+
Washington,2022-03-04,6:00:00 PM,0,1021.8,4.4,4,32.6
|
249 |
+
Washington,2022-03-05,12:00:00 AM,0,1019.2,2.2,0,49.8
|
250 |
+
Washington,2022-03-05,6:00:00 AM,0,1019.2,1.1,3,63.7
|
251 |
+
Washington,2022-03-05,12:00:00 PM,0,1019.8,0.6,9,77.9
|
252 |
+
Washington,2022-03-05,6:00:00 PM,0,1017.5,13.9,8,41.7
|
253 |
+
Washington,2022-03-06,12:00:00 AM,0,1013.8,12.8,4,54.6
|
254 |
+
Washington,2022-03-06,6:00:00 AM,0,1010.8,10.6,16,76.8
|
255 |
+
Washington,2022-03-06,12:00:00 PM,0,1007.4,17.2,16,77.8
|
256 |
+
Washington,2022-03-06,6:00:00 PM,0,1006.4,23.9,8,49.8
|
257 |
+
Washington,2022-03-07,12:00:00 AM,0,1006.4,22.8,6,51.2
|
258 |
+
Washington,2022-03-07,6:00:00 AM,0,1004.7,17.2,11,70.1
|
259 |
+
Washington,2022-03-07,12:00:00 PM,0,1000.7,16.7,21,72.3
|
260 |
+
Washington,2022-03-07,6:00:00 PM,0,996.3,24.4,19,50
|
261 |
+
Washington,2022-03-08,12:00:00 AM,0,994,20.6,20,65.4
|
262 |
+
Washington,2022-03-08,6:00:00 AM,0,1002.4,8.9,12,51.3
|
263 |
+
Washington,2022-03-08,12:00:00 PM,0,1008.7,5.6,3,50.4
|
264 |
+
Washington,2022-03-08,6:00:00 PM,0,1010.8,9.4,5,35.8
|
265 |
+
Washington,2022-03-09,12:00:00 AM,0,1009.1,7.8,3,45.3
|
266 |
+
Washington,2022-03-09,6:00:00 AM,0,1009.1,6.7,3,50.7
|
267 |
+
Washington,2022-03-09,12:00:00 PM,4,1005.1,5,4,92.6
|
268 |
+
Washington,2022-03-09,6:00:00 PM,6,1000,6.1,9,88.8
|
269 |
+
Washington,2022-03-10,12:00:00 AM,1,1004.1,5,5,82.1
|
270 |
+
Washington,2022-03-10,6:00:00 AM,0,1007.4,4.4,0,73.1
|
271 |
+
Washington,2022-03-10,12:00:00 PM,0,1011.4,0,4,92.3
|
272 |
+
Washington,2022-03-10,6:00:00 PM,0,1009.4,10,3,43.9
|
273 |
+
Washington,2022-03-11,12:00:00 AM,0,1008.1,8.9,0,49.5
|
274 |
+
Washington,2022-03-11,6:00:00 AM,0,1008.7,1.1,0,85.2
|
275 |
+
Washington,2022-03-11,12:00:00 PM,0,1007.7,0.6,10,91.6
|
276 |
+
Washington,2022-03-11,6:00:00 PM,0,1004.4,15.6,9,45.6
|
277 |
+
Washington,2022-03-12,12:00:00 AM,0,998.7,12.8,10,56.6
|
278 |
+
Washington,2022-03-12,6:00:00 AM,0,992.6,8.9,18,82.6
|
279 |
+
Washington,2022-03-12,12:00:00 PM,7,988.9,1.1,20,88.4
|
280 |
+
Washington,2022-03-12,6:00:00 PM,6,990,-0.6,18,72.1
|
281 |
+
Washington,2022-03-13,12:00:00 AM,0,999.7,-3.9,20,45.7
|
282 |
+
Washington,2022-03-13,6:00:00 AM,0,1008.7,-5.6,0,56.8
|
283 |
+
Washington,2022-03-13,12:00:00 PM,0,1015.1,-6.1,13,49.3
|
284 |
+
Washington,2022-03-13,6:00:00 PM,0,1013.8,1.1,4,39.7
|
285 |
+
Washington,2022-03-14,12:00:00 AM,0,1010.8,3.9,0,42.1
|
286 |
+
Washington,2022-03-14,6:00:00 AM,0,1015.5,-2.2,0,71.2
|
287 |
+
Washington,2022-03-14,12:00:00 PM,0,1018.1,-2.8,10,78
|
288 |
+
Washington,2022-03-14,6:00:00 PM,0,1018.5,15,6,34.3
|
289 |
+
Washington,2022-03-15,12:00:00 AM,0,1016.1,12.2,7,39.7
|
290 |
+
Washington,2022-03-15,6:00:00 AM,0,1015.5,8.3,3,49.3
|
291 |
+
Washington,2022-03-15,12:00:00 PM,0,1013.8,3.3,0,72.8
|
292 |
+
Washington,2022-03-15,6:00:00 PM,0,1011.4,20,5,26.1
|
293 |
+
Washington,2022-03-16,12:00:00 AM,0,1009.1,16.1,0,32
|
294 |
+
Washington,2022-03-16,6:00:00 AM,0,1010.4,7.2,0,62.8
|
295 |
+
Washington,2022-03-16,12:00:00 PM,0,1011.4,3.3,3,82.4
|
296 |
+
Washington,2022-03-16,6:00:00 PM,0,1010.1,21.7,7,26.6
|
297 |
+
Washington,2022-03-17,12:00:00 AM,0,1007.4,17.2,4,35.2
|
298 |
+
Washington,2022-03-17,6:00:00 AM,0,1006.4,13.3,6,54.8
|
299 |
+
Washington,2022-03-17,12:00:00 PM,2,1004.1,10,8,89.2
|
300 |
+
Washington,2022-03-17,6:00:00 PM,1,1002,13.9,0,80.5
|
301 |
+
Washington,2022-03-18,12:00:00 AM,0,1002.4,13.3,0,86.5
|
302 |
+
Washington,2022-03-18,6:00:00 AM,0,1004.1,7.8,0,96
|
303 |
+
Washington,2022-03-18,12:00:00 PM,0,1005.1,5,8,95.9
|
304 |
+
Washington,2022-03-18,6:00:00 PM,0,1004.7,23.9,11,36.9
|
305 |
+
Washington,2022-03-19,12:00:00 AM,0,1000.7,20.6,7,52.7
|
306 |
+
Washington,2022-03-19,6:00:00 AM,0,999.4,15.6,11,74.6
|
307 |
+
Washington,2022-03-19,12:00:00 PM,0,998.3,15,15,77.5
|
308 |
+
Washington,2022-03-19,6:00:00 PM,0,996.7,19.4,13,65.6
|
309 |
+
Washington,2022-03-20,12:00:00 AM,0,993.6,22.8,9,42.5
|
310 |
+
Washington,2022-03-20,6:00:00 AM,0,998.7,13.9,3,50.9
|
311 |
+
Washington,2022-03-20,12:00:00 PM,0,1002,10,21,56.3
|
312 |
+
Washington,2022-03-20,6:00:00 PM,0,1002.7,13.9,14,41.7
|
313 |
+
Washington,2022-03-21,12:00:00 AM,0,1005.7,10.6,4,45.8
|
314 |
+
Washington,2022-03-21,12:00:00 PM,0,1012.4,5.6,12,59.3
|
315 |
+
Washington,2022-03-21,6:00:00 PM,0,1010.8,18.3,5,31.5
|
316 |
+
Washington,2022-03-22,12:00:00 AM,0,1007.7,17.2,0,28.7
|
317 |
+
Washington,2022-03-22,6:00:00 AM,0,1008.7,6.1,6,73.4
|
318 |
+
Washington,2022-03-22,12:00:00 PM,0,1010.4,8.3,4,63.1
|
319 |
+
Washington,2022-03-22,6:00:00 PM,0,1011.1,19.4,7,30.7
|
320 |
+
Washington,2022-03-23,12:00:00 AM,0,1008.7,16.1,6,42.3
|
321 |
+
Washington,2022-03-23,6:00:00 AM,0,1009.8,10,5,49.8
|
322 |
+
Washington,2022-03-23,12:00:00 PM,0,1008.1,8.9,13,40.2
|
323 |
+
Washington,2022-03-23,6:00:00 PM,2,1006.1,9.4,4,79.8
|
324 |
+
Washington,2022-03-24,12:00:00 AM,3,1001.7,10.6,8,92.3
|
325 |
+
Washington,2022-03-24,6:00:00 AM,4,998.3,11.7,7,93
|
326 |
+
Washington,2022-03-24,12:00:00 PM,0,1000.7,9.4,6,89.7
|
327 |
+
Washington,2022-03-24,6:00:00 PM,0,1000,11.7,4,79.6
|
328 |
+
Washington,2022-03-25,12:00:00 AM,0,995.3,12.8,0,86.5
|
329 |
+
Washington,2022-03-25,6:00:00 AM,0,996,8.3,3,92.8
|
330 |
+
Washington,2022-03-25,12:00:00 PM,0,996.3,7.2,13,70.5
|
331 |
+
Washington,2022-03-25,6:00:00 PM,0,993.3,15.6,9,37.3
|
332 |
+
Washington,2022-03-26,12:00:00 AM,0,993,12.8,8,44.8
|
333 |
+
Washington,2022-03-26,6:00:00 AM,0,993.3,10,12,53.9
|
334 |
+
Washington,2022-03-26,12:00:00 PM,0,991,7.8,15,47
|
335 |
+
Washington,2022-03-26,6:00:00 PM,0,990,8.3,11,47.5
|
336 |
+
Washington,2022-03-27,12:00:00 AM,0,993.6,6.7,21,39.5
|
337 |
+
Washington,2022-03-27,6:00:00 AM,0,995.7,3.9,10,54.6
|
338 |
+
Washington,2022-03-27,12:00:00 PM,0,997.7,3.9,20,52.2
|
339 |
+
Washington,2022-03-27,6:00:00 PM,0,999,3.9,19,42.1
|
340 |
+
Washington,2022-03-28,12:00:00 AM,0,1002,2.2,6,36.7
|
341 |
+
Washington,2022-03-28,12:00:00 PM,0,1005.4,-1.7,19,50.6
|
342 |
+
Washington,2022-03-28,6:00:00 PM,0,1004.1,3.9,15,32.5
|
343 |
+
Washington,2022-03-29,12:00:00 AM,0,1009.1,-0.6,16,29.8
|
344 |
+
Washington,2022-03-29,6:00:00 AM,0,1012.4,-3.3,8,41.9
|
345 |
+
Washington,2022-03-29,12:00:00 PM,0,1015.1,-3.9,11,48
|
346 |
+
Washington,2022-03-29,6:00:00 PM,0,1013.4,5,5,27.5
|
347 |
+
Washington,2022-03-30,12:00:00 AM,0,1011.1,5.6,0,24.2
|
348 |
+
Washington,2022-03-30,6:00:00 AM,0,1012.4,-1.1,0,58
|
349 |
+
Washington,2022-03-30,12:00:00 PM,1,1012.1,2.2,13,78.8
|
350 |
+
Washington,2022-03-30,6:00:00 PM,0,1008.4,13.3,7,34.1
|
351 |
+
Washington,2022-03-31,12:00:00 AM,0,1002,14.4,7,38.9
|
352 |
+
Washington,2022-03-31,6:00:00 AM,0,999,12.8,12,59
|
353 |
+
Washington,2022-03-31,12:00:00 PM,0,994.7,17.2,24,77.8
|
354 |
+
Washington,2022-03-31,6:00:00 PM,0,990.3,22.8,9,55
|
355 |
+
Washington,2022-04-01,12:00:00 AM,0,985.3,21.1,11,68.1
|
356 |
+
Washington,2022-04-01,6:00:00 AM,10,989.3,15,4,66.9
|
357 |
+
Washington,2022-04-01,12:00:00 PM,1,994,8.9,22,65.5
|
358 |
+
Washington,2022-04-01,6:00:00 PM,0,997.7,11.1,13,44.3
|
359 |
+
Washington,2022-04-02,12:00:00 AM,0,1004.1,7.8,14,45.3
|
360 |
+
Washington,2022-04-02,6:00:00 AM,0,1008.4,6.1,3,44.8
|
361 |
+
Washington,2022-04-02,12:00:00 PM,0,1010.8,3.3,4,57
|
362 |
+
Washington,2022-04-02,6:00:00 PM,0,1007.4,11.7,4,36.2
|
363 |
+
Washington,2022-04-03,12:00:00 AM,0,1003,9.4,5,49.6
|
364 |
+
Washington,2022-04-03,6:00:00 AM,0,1000,8.3,0,63.1
|
365 |
+
Washington,2022-04-03,12:00:00 PM,0,998,6.1,16,85.8
|
366 |
+
Washington,2022-04-03,6:00:00 PM,0,1000,12.2,10,41.2
|
367 |
+
Washington,2022-04-04,12:00:00 AM,0,1003.7,8.9,6,42
|
368 |
+
Washington,2022-04-04,6:00:00 AM,0,1006.1,3.9,0,54.6
|
369 |
+
Washington,2022-04-04,12:00:00 PM,0,1008.4,3.3,4,67.2
|
370 |
+
Washington,2022-04-04,6:00:00 PM,0,1006.7,10.6,3,38.9
|
371 |
+
Washington,2022-04-05,12:00:00 AM,0,1004.4,9.4,3,56.1
|
372 |
+
Washington,2022-04-05,6:00:00 AM,0,1005.1,8.9,0,56
|
373 |
+
Washington,2022-04-05,12:00:00 PM,0,1004.7,8.3,3,76.4
|
374 |
+
Washington,2022-04-05,6:00:00 PM,3,1003.4,10.6,5,82.8
|
375 |
+
Washington,2022-04-06,12:00:00 AM,3,999.7,11.1,12,92.9
|
376 |
+
Washington,2022-04-06,6:00:00 AM,20,993,11.7,9,93
|
377 |
+
Washington,2022-04-06,12:00:00 PM,3,993,10,5,96.1
|
378 |
+
Washington,2022-04-06,6:00:00 PM,1,997.3,13.3,5,86.5
|
379 |
+
Washington,2022-04-07,12:00:00 AM,0,997,14.4,10,80.5
|
380 |
+
Washington,2022-04-07,6:00:00 AM,0,997.3,11.1,4,92.9
|
381 |
+
Washington,2022-04-07,12:00:00 PM,2,995,9.4,8,92.8
|
382 |
+
Washington,2022-04-07,6:00:00 PM,4,991.6,10.6,6,92.3
|
383 |
+
Washington,2022-04-08,12:00:00 AM,4,991.6,10,12,86.2
|
384 |
+
Washington,2022-04-08,6:00:00 AM,0,993,8.9,4,79.8
|
385 |
+
Washington,2022-04-08,12:00:00 PM,0,995.3,6.1,14,85.8
|
386 |
+
Washington,2022-04-08,6:00:00 PM,0,993.3,15.6,20,31.8
|
387 |
+
Washington,2022-04-09,12:00:00 AM,0,993,11.1,4,56.6
|
388 |
+
Washington,2022-04-09,6:00:00 AM,3,994.3,7.2,3,82.4
|
389 |
+
Washington,2022-04-09,12:00:00 PM,0,995,7.2,12,82.4
|
390 |
+
Washington,2022-04-09,6:00:00 PM,0,994.7,11.1,7,46.2
|
391 |
+
Washington,2022-04-10,12:00:00 AM,0,995.7,9.4,10,47.8
|
392 |
+
Washington,2022-04-10,6:00:00 AM,0,999,5.6,11,62
|
393 |
+
Washington,2022-04-10,12:00:00 PM,0,1002,6.1,16,55.2
|
394 |
+
Washington,2022-04-10,6:00:00 PM,0,1003.4,9.4,4,40.6
|
395 |
+
Washington,2022-04-11,12:00:00 AM,0,1003.7,10,0,40.5
|
396 |
+
Washington,2022-04-11,6:00:00 AM,0,1007.4,0.6,0,84.5
|
397 |
+
Washington,2022-04-11,12:00:00 PM,0,1010.4,2.8,5,81.8
|
398 |
+
Washington,2022-04-11,6:00:00 PM,0,1007.7,16.1,7,39.1
|
399 |
+
Washington,2022-04-12,12:00:00 AM,0,1005.1,16.1,0,47.7
|
400 |
+
Washington,2022-04-12,6:00:00 AM,0,1004.1,12.2,0,71.5
|
401 |
+
Washington,2022-04-12,12:00:00 PM,0,1005.7,11.7,9,82.9
|
402 |
+
Washington,2022-04-12,6:00:00 PM,0,1007.1,23.3,4,44.7
|
403 |
+
Washington,2022-04-13,12:00:00 AM,0,1005.7,20.6,0,56.7
|
404 |
+
Washington,2022-04-13,6:00:00 AM,0,1005.7,12.8,3,83.1
|
405 |
+
Washington,2022-04-13,12:00:00 PM,0,1006.4,13.3,5,86.5
|
406 |
+
Washington,2022-04-13,6:00:00 PM,0,1002,28.3,11,42.6
|
407 |
+
Washington,2022-04-14,12:00:00 AM,0,998,27.2,16,34
|
408 |
+
Washington,2022-04-14,6:00:00 AM,0,997.7,23.9,11,47.9
|
409 |
+
Washington,2022-04-14,12:00:00 PM,0,997.7,21.1,10,61
|
410 |
+
Washington,2022-04-14,6:00:00 PM,0,997.3,26.7,11,43.6
|
411 |
+
Washington,2022-04-15,12:00:00 AM,0,1002,17.2,0,36.5
|
412 |
+
Washington,2022-04-15,6:00:00 AM,0,1007.4,8.3,0,55.8
|
413 |
+
Washington,2022-04-15,12:00:00 PM,0,1011.4,8.9,8,76.5
|
414 |
+
Washington,2022-04-15,6:00:00 PM,0,1009.8,20.6,11,18.9
|
415 |
+
Washington,2022-04-16,12:00:00 AM,0,1006.4,19.4,11,20.3
|
416 |
+
Washington,2022-04-16,6:00:00 AM,0,1006.1,15.6,12,34.5
|
417 |
+
Washington,2022-04-16,12:00:00 PM,0,1005.4,14.4,9,53.2
|
418 |
+
Washington,2022-04-16,6:00:00 PM,0,999.7,24.4,9,27.4
|
419 |
+
Washington,2022-04-17,12:00:00 AM,0,997.3,21.7,10,36.3
|
420 |
+
Washington,2022-04-17,6:00:00 AM,0,1002.7,13.3,13,64.3
|
421 |
+
Washington,2022-04-17,12:00:00 PM,0,1009.4,8.9,15,42
|
422 |
+
Washington,2022-04-17,6:00:00 PM,0,1011.8,11.7,7,34.9
|
423 |
+
Washington,2022-04-18,12:00:00 AM,0,1012.8,10.6,0,30.3
|
424 |
+
Washington,2022-04-18,6:00:00 AM,0,1016.1,5,6,46.2
|
425 |
+
Washington,2022-04-18,12:00:00 PM,0,1014.1,6.1,6,46.9
|
426 |
+
Washington,2022-04-18,6:00:00 PM,5,1010.4,5,9,82.1
|
427 |
+
Washington,2022-04-19,12:00:00 AM,4,1002,5,7,88.7
|
428 |
+
Washington,2022-04-19,6:00:00 AM,4,999.4,3.3,8,89.2
|
429 |
+
Washington,2022-04-19,12:00:00 PM,0,1001,6.1,16,59.9
|
430 |
+
Washington,2022-04-19,6:00:00 PM,0,1003.7,10,9,39
|
431 |
+
Washington,2022-04-20,12:00:00 AM,0,1008.4,7.8,4,43.3
|
432 |
+
Washington,2022-04-20,6:00:00 AM,0,1013.8,5.6,3,62
|
433 |
+
Washington,2022-04-20,12:00:00 PM,0,1018.1,6.1,4,62.1
|
434 |
+
Washington,2022-04-20,6:00:00 PM,0,1018.8,14.4,3,31.7
|
435 |
+
Washington,2022-04-21,12:00:00 AM,0,1017.8,12.2,5,39.7
|
436 |
+
Washington,2022-04-21,6:00:00 AM,0,1019.2,9.4,9,60.7
|
437 |
+
Washington,2022-04-21,12:00:00 PM,0,1019.2,9.4,13,65.6
|
438 |
+
Washington,2022-04-21,6:00:00 PM,0,1017.5,18.3,6,46.7
|
439 |
+
Washington,2022-04-22,12:00:00 AM,0,1015.8,18.3,0,46.7
|
440 |
+
Washington,2022-04-22,6:00:00 AM,0,1016.8,10.6,0,82.8
|
441 |
+
Washington,2022-04-22,12:00:00 PM,0,1019.2,12.8,8,79.8
|
442 |
+
Washington,2022-04-22,6:00:00 PM,0,1018.8,22.8,6,32.8
|
443 |
+
Washington,2022-04-23,12:00:00 AM,0,1016.5,18.9,0,35.5
|
444 |
+
Washington,2022-04-23,6:00:00 AM,0,1017.1,11.7,0,63.4
|
445 |
+
Washington,2022-04-23,12:00:00 PM,0,1016.8,12.8,8,66.4
|
446 |
+
Washington,2022-04-23,6:00:00 PM,0,1013.1,23.3,6,41.2
|
447 |
+
Washington,2022-04-24,12:00:00 AM,0,1009.4,22.8,3,47.6
|
448 |
+
Washington,2022-04-24,6:00:00 AM,0,1009.4,14.4,6,66.7
|
449 |
+
Washington,2022-04-24,12:00:00 PM,0,1010.4,13.9,5,68.9
|
450 |
+
Washington,2022-04-24,6:00:00 PM,0,1008.7,26.7,9,42.2
|
451 |
+
Washington,2022-04-25,12:00:00 AM,0,1007.1,23.9,5,53.5
|
452 |
+
Washington,2022-04-25,6:00:00 AM,0,1008.4,13.9,5,74.3
|
453 |
+
Washington,2022-04-25,12:00:00 PM,0,1009.8,12.2,5,89.9
|
454 |
+
Washington,2022-04-25,6:00:00 PM,0,1009.1,19.4,9,61
|
455 |
+
Washington,2022-04-26,12:00:00 AM,0,1007.4,19.4,4,67.8
|
456 |
+
Washington,2022-04-26,6:00:00 AM,0,1006.7,15,6,86.7
|
457 |
+
Washington,2022-04-26,12:00:00 PM,0,1007.1,15,10,86.7
|
458 |
+
Washington,2022-04-26,6:00:00 PM,0,1006.4,18.3,4,65.4
|
459 |
+
Washington,2022-04-27,12:00:00 AM,1,1005.7,15,11,86.7
|
460 |
+
Washington,2022-04-27,6:00:00 AM,0,1008.1,11.1,10,52.3
|
461 |
+
Washington,2022-04-27,12:00:00 PM,0,1008.7,8.9,19,43.6
|
462 |
+
Washington,2022-04-27,6:00:00 PM,0,1006.4,15,16,30.5
|
463 |
+
Washington,2022-04-28,12:00:00 AM,0,1006.7,12.2,10,31.1
|
464 |
+
Washington,2022-04-28,6:00:00 AM,0,1010.1,5.6,15,50.4
|
465 |
+
Washington,2022-04-28,12:00:00 PM,0,1012.4,3.3,18,52
|
466 |
+
Washington,2022-04-28,6:00:00 PM,0,1010.8,13.3,9,27.6
|
467 |
+
Washington,2022-04-29,12:00:00 AM,0,1008.7,13.3,4,22.3
|
468 |
+
Washington,2022-04-29,6:00:00 AM,0,1010.8,5.6,4,48.5
|
469 |
+
Washington,2022-04-29,12:00:00 PM,0,1013.8,6.7,10,41.1
|
470 |
+
Washington,2022-04-29,6:00:00 PM,0,1010.8,16.1,4,19.5
|
471 |
+
Washington,2022-04-30,12:00:00 AM,0,1008.1,13.3,4,27.6
|
472 |
+
Washington,2022-04-30,6:00:00 AM,0,1010.1,3.3,3,78.9
|
473 |
+
Washington,2022-04-30,12:00:00 PM,0,1012.4,7.8,0,49.1
|
474 |
+
Washington,2022-04-30,6:00:00 PM,0,1009.4,17.8,4,20.7
|
475 |
+
Washington,2022-05-01,12:00:00 AM,0,1007.7,13.9,5,48.7
|
476 |
+
Washington,2022-05-01,6:00:00 AM,0,1008.1,11.1,5,63.3
|
477 |
+
Washington,2022-05-01,12:00:00 PM,0,1008.1,12.2,8,74.5
|
478 |
+
Washington,2022-05-01,6:00:00 PM,4,1006.7,15,4,86.7
|
479 |
+
Washington,2022-05-02,12:00:00 AM,3,1005.4,15,0,80.6
|
480 |
+
Washington,2022-05-02,6:00:00 AM,0,1003.7,12.2,0,93
|
481 |
+
Washington,2022-05-02,12:00:00 PM,0,1004.7,13.9,7,83.2
|
482 |
+
Washington,2022-05-02,6:00:00 PM,0,1005.1,24.4,6,38.6
|
483 |
+
Washington,2022-05-03,12:00:00 AM,0,1004.1,22.8,0,44.2
|
484 |
+
Washington,2022-05-03,6:00:00 AM,0,1006.4,13.3,7,83.7
|
485 |
+
Washington,2022-05-03,12:00:00 PM,0,1008.1,14.4,4,90.1
|
486 |
+
Washington,2022-05-03,6:00:00 PM,0,1008.1,17.2,6,77.8
|
487 |
+
Washington,2022-05-04,12:00:00 AM,0,1003.7,19.4,7,72.8
|
488 |
+
Washington,2022-05-04,6:00:00 AM,20,1006.1,15,4,93.1
|
489 |
+
Washington,2022-05-04,12:00:00 PM,11,1003.4,14.4,0,96.8
|
490 |
+
Washington,2022-05-04,6:00:00 PM,0,1002.7,20,7,81.3
|
491 |
+
Washington,2022-05-05,12:00:00 AM,0,1003.4,22.2,4,53.1
|
492 |
+
Washington,2022-05-05,6:00:00 AM,0,1006.7,15.6,8,74.6
|
493 |
+
Washington,2022-05-05,12:00:00 PM,0,1008.7,15.6,4,66.5
|
494 |
+
Washington,2022-05-05,6:00:00 PM,0,1008.4,18.9,3,60.5
|
495 |
+
Washington,2022-05-06,12:00:00 AM,0,1006.1,16.7,5,69.5
|
496 |
+
Washington,2022-05-06,6:00:00 AM,0,1003.7,15.6,6,83.4
|
497 |
+
Washington,2022-05-06,12:00:00 PM,2,1001.7,13.9,7,93.1
|
498 |
+
Washington,2022-05-06,6:00:00 PM,9,996.7,15.6,10,92.6
|
499 |
+
Washington,2022-05-07,12:00:00 AM,2,993.3,13.9,12,89.5
|
500 |
+
Washington,2022-05-07,6:00:00 AM,23,989.3,10.6,9,89.2
|
501 |
+
Washington,2022-05-07,12:00:00 PM,6,992.3,10.6,13,92.3
|
502 |
+
Washington,2022-05-07,6:00:00 PM,4,995,10.6,11,89.2
|
503 |
+
Washington,2022-05-08,12:00:00 AM,4,1000.4,8.9,9,89.1
|
504 |
+
Washington,2022-05-08,6:00:00 AM,2,1003,7.8,13,86
|
505 |
+
Washington,2022-05-08,12:00:00 PM,0,1006.1,7.2,13,70.5
|
506 |
+
Washington,2022-05-08,6:00:00 PM,0,1007.7,11.7,5,54.3
|
507 |
+
Washington,2022-05-09,12:00:00 AM,0,1008.7,13.3,0,46.9
|
508 |
+
Washington,2022-05-09,6:00:00 AM,0,1009.8,3.9,9,92.5
|
509 |
+
Washington,2022-05-09,12:00:00 PM,0,1012.1,10,7,56.3
|
510 |
+
Washington,2022-05-09,6:00:00 PM,0,1012.1,18.9,5,25.8
|
511 |
+
Washington,2022-05-10,12:00:00 AM,0,1011.4,18.3,3,26.8
|
512 |
+
Washington,2022-05-10,6:00:00 AM,0,1013.4,7.8,12,70.6
|
513 |
+
Washington,2022-05-10,12:00:00 PM,0,1016.1,12.8,11,32.4
|
514 |
+
Washington,2022-05-10,6:00:00 PM,0,1014.8,22.2,8,27.9
|
515 |
+
Washington,2022-05-11,12:00:00 AM,0,1013.4,20,0,33.1
|
516 |
+
Washington,2022-05-11,6:00:00 AM,0,1014.1,8.9,4,76.5
|
517 |
+
Washington,2022-05-11,12:00:00 PM,0,1014.1,13.3,8,59.6
|
518 |
+
Washington,2022-05-11,6:00:00 PM,0,1012.4,22.8,5,38.1
|
519 |
+
Washington,2022-05-12,12:00:00 AM,0,1012.1,20.6,0,52.7
|
520 |
+
Washington,2022-05-12,6:00:00 AM,0,1012.1,12.2,9,89.9
|
521 |
+
Washington,2022-05-12,12:00:00 PM,0,1013.1,16.1,9,77.7
|
522 |
+
Washington,2022-05-12,6:00:00 PM,0,1013.1,21.7,6,68.3
|
523 |
+
Washington,2022-05-13,12:00:00 AM,0,1012.4,20,5,83.9
|
524 |
+
Washington,2022-05-13,6:00:00 AM,0,1011.4,18.3,6,87
|
525 |
+
Washington,2022-05-13,12:00:00 PM,4,1011.4,18.3,9,90.4
|
526 |
+
Washington,2022-05-13,6:00:00 PM,1,1010.8,21.7,3,78.5
|
527 |
+
Washington,2022-05-14,12:00:00 AM,0,1008.7,22.2,4,76.1
|
528 |
+
Washington,2022-05-14,6:00:00 AM,0,1007.7,20,0,89.9
|
529 |
+
Washington,2022-05-14,12:00:00 PM,1,1007.4,19.4,6,93.4
|
530 |
+
Washington,2022-05-14,6:00:00 PM,0,1004.7,22.2,4,76.1
|
531 |
+
Washington,2022-05-15,12:00:00 AM,0,1002.7,20.6,3,84
|
532 |
+
Washington,2022-05-15,6:00:00 AM,0,1002.4,17.8,4,96.9
|
533 |
+
Washington,2022-05-15,12:00:00 PM,0,1002.4,17.2,6,58.2
|
534 |
+
Washington,2022-05-15,6:00:00 PM,0,1000.7,26.7,0,73.2
|
535 |
+
Washington,2022-05-16,12:00:00 AM,0,998.7,21.7,5,90.5
|
536 |
+
Washington,2022-05-16,6:00:00 AM,0,997.7,19.4,4,90.5
|
537 |
+
Washington,2022-05-16,12:00:00 PM,0,995.3,19.4,5,71.4
|
538 |
+
Washington,2022-05-16,6:00:00 PM,5,994,24.4,13,47.1
|
539 |
+
Washington,2022-05-17,12:00:00 AM,5,996.3,21.1,4,74.3
|
540 |
+
Washington,2022-05-17,6:00:00 AM,0,1000,13.9,8,74.6
|
541 |
+
Washington,2022-05-17,12:00:00 PM,0,1001,15.6,12,30.2
|
542 |
+
Washington,2022-05-17,6:00:00 PM,0,999.4,26.7,9,33.2
|
543 |
+
Washington,2022-05-18,12:00:00 AM,0,1000,24.4,7,49.5
|
544 |
+
Washington,2022-05-18,6:00:00 AM,0,1004.1,16.7,7,49.2
|
545 |
+
Washington,2022-05-18,12:00:00 PM,0,1007.4,15.6,0,39.5
|
546 |
+
Washington,2022-05-18,6:00:00 PM,0,1005.1,22.2,5,50.4
|
547 |
+
Washington,2022-05-19,12:00:00 AM,0,1000.4,20,4,86.3
|
548 |
+
Washington,2022-05-19,6:00:00 AM,1,997.3,16.7,3,86.8
|
549 |
+
Washington,2022-05-19,12:00:00 PM,1,997,16.1,14,50.7
|
550 |
+
Washington,2022-05-19,6:00:00 PM,0,996.3,27.2,3,40.6
|
551 |
+
Washington,2022-05-20,12:00:00 AM,0,997,26.1,0,80.3
|
552 |
+
Washington,2022-05-20,6:00:00 AM,0,998,16.7,3,73.1
|
553 |
+
Washington,2022-05-20,12:00:00 PM,0,1001,21.1,4,58.7
|
554 |
+
Washington,2022-05-20,6:00:00 PM,0,1000.7,28.9,5,54.9
|
555 |
+
Washington,2022-05-21,12:00:00 AM,0,999.7,29.4,11,62.3
|
556 |
+
Washington,2022-05-21,6:00:00 AM,0,1001.4,26.7,0,71.1
|
557 |
+
Washington,2022-05-21,12:00:00 PM,0,1006.1,25,6,46.8
|
558 |
+
Washington,2022-05-21,6:00:00 PM,0,1006.7,32.2,7,53.2
|
559 |
+
Washington,2022-05-22,12:00:00 AM,0,1004.7,29.4,6,73.8
|
560 |
+
Washington,2022-05-22,6:00:00 AM,0,1005.7,25,5,78.6
|
561 |
+
Washington,2022-05-22,12:00:00 PM,0,1007.1,22.2,5,53.7
|
562 |
+
Washington,2022-05-22,6:00:00 PM,0,1005.4,31.1,5,90
|
563 |
+
Washington,2022-05-23,12:00:00 AM,30,1007.4,21.1,12,75.8
|
564 |
+
Washington,2022-05-23,6:00:00 AM,6,1009.4,20,12,67.3
|
565 |
+
Washington,2022-05-23,12:00:00 PM,0,1012.4,17.2,10,47.3
|
566 |
+
Washington,2022-05-23,6:00:00 PM,0,1012.1,21.7,10,53.7
|
567 |
+
Washington,2022-05-24,12:00:00 AM,0,1011.8,17.8,6,86.6
|
568 |
+
Washington,2022-05-24,6:00:00 AM,2,1012.1,14.4,7,93.1
|
569 |
+
Washington,2022-05-24,12:00:00 PM,8,1012.1,14.4,9,86.9
|
570 |
+
Washington,2022-05-24,6:00:00 PM,2,1012.4,17.2,7,67.2
|
571 |
+
Washington,2022-05-25,12:00:00 AM,0,1013.8,16.7,4,72
|
572 |
+
Washington,2022-05-25,6:00:00 AM,0,1014.1,15,7,77.5
|
573 |
+
Washington,2022-05-25,12:00:00 PM,0,1016.1,15,6,60.9
|
574 |
+
Washington,2022-05-25,6:00:00 PM,0,1015.8,20.6,6,50.6
|
575 |
+
Washington,2022-05-26,12:00:00 AM,0,1014.8,19.4,5,57.8
|
576 |
+
Washington,2022-05-26,6:00:00 AM,0,1014.5,16.1,7,77.6
|
577 |
+
Washington,2022-05-26,12:00:00 PM,0,1013.8,15.6,5,81.3
|
578 |
+
Washington,2022-05-26,6:00:00 PM,0,1011.4,20,7,84
|
579 |
+
Washington,2022-05-27,12:00:00 AM,0,1007.7,20.6,6,89.9
|
580 |
+
Washington,2022-05-27,6:00:00 AM,0,1005.4,20,8,86.8
|
581 |
+
Washington,2022-05-27,12:00:00 PM,0,1002,21.7,6,90
|
582 |
+
Washington,2022-05-27,6:00:00 PM,6,999.4,20.6,6,86.8
|
583 |
+
Washington,2022-05-28,12:00:00 AM,0,996.7,21.7,4,93.2
|
584 |
+
Washington,2022-05-28,6:00:00 AM,12,997.3,17.2,4,81.2
|
585 |
+
Washington,2022-05-28,12:00:00 PM,2,998.3,18.9,9,57.2
|
586 |
+
Washington,2022-05-28,6:00:00 PM,0,999.7,22.8,4,63.7
|
587 |
+
Washington,2022-05-29,12:00:00 AM,0,1001.4,22.2,5,55.9
|
588 |
+
Washington,2022-05-30,12:00:00 AM,0,1006.4,25,0,83.8
|
589 |
+
Washington,2022-05-30,6:00:00 AM,0,1008.1,18.9,6,78.4
|
590 |
+
Washington,2022-05-30,12:00:00 PM,0,1009.4,21.1,4,45.1
|
591 |
+
Washington,2022-05-30,6:00:00 PM,0,1008.1,31.1,5,53
|
592 |
+
Washington,2022-05-31,12:00:00 AM,0,1007.1,28.3,4,81.4
|
593 |
+
Washington,2022-05-31,6:00:00 AM,0,1007.4,21.1,0,78.7
|
594 |
+
Washington,2022-05-31,12:00:00 PM,0,1007.4,22.8,5,42.7
|
595 |
+
Washington,2022-05-31,6:00:00 PM,0,1005.7,33.3,4,49.8
|
596 |
+
Washington,2022-06-01,12:00:00 AM,0,1003.7,31.1,0,87.4
|
597 |
+
Washington,2022-06-01,6:00:00 AM,0,1003.7,22.2,0,64.6
|
598 |
+
Washington,2022-06-01,12:00:00 PM,0,1004.1,26.1,5,46.7
|
599 |
+
Washington,2022-06-01,6:00:00 PM,0,1001.7,31.7,7,58.7
|
600 |
+
Washington,2022-06-02,12:00:00 AM,0,998.3,28.9,0,86.8
|
601 |
+
Washington,2022-06-02,6:00:00 AM,0,997.7,21.7,0,73.8
|
602 |
+
Washington,2022-06-02,12:00:00 PM,0,998.3,25,4,48.6
|
603 |
+
Washington,2022-06-02,6:00:00 PM,0,995.7,32.2,5,90.2
|
604 |
+
Washington,2022-06-03,12:00:00 AM,6,995.7,23.9,0,96.9
|
605 |
+
Washington,2022-06-03,6:00:00 AM,5,996.3,19.4,8,63.1
|
606 |
+
Washington,2022-06-03,12:00:00 PM,0,999.4,19.4,9,43.1
|
607 |
+
Washington,2022-06-03,6:00:00 PM,0,1000.4,23.9,3,44.5
|
608 |
+
Washington,2022-06-04,12:00:00 AM,0,1000,23.9,0,90
|
609 |
+
Washington,2022-06-04,6:00:00 AM,0,1001.7,13.3,3,63.2
|
610 |
+
Washington,2022-06-04,12:00:00 PM,0,1002.4,20,6,22.4
|
611 |
+
Washington,2022-06-04,6:00:00 PM,0,1002.4,27.8,3,31.2
|
612 |
+
Washington,2022-06-05,12:00:00 AM,0,1000.7,26.7,3,67.1
|
613 |
+
Washington,2022-06-05,6:00:00 AM,0,1002.4,16.1,7,48.1
|
614 |
+
Washington,2022-06-05,12:00:00 PM,0,1005.1,17.8,5,38.6
|
615 |
+
Washington,2022-06-05,6:00:00 PM,0,1004.7,24.4,6,41.2
|
616 |
+
Washington,2022-06-06,12:00:00 AM,0,1003.4,23.3,0,86.6
|
617 |
+
Washington,2022-06-06,6:00:00 AM,0,1005.1,13.9,0,72.6
|
618 |
+
Washington,2022-06-06,12:00:00 PM,0,1006.7,18.3,9,34.9
|
619 |
+
Washington,2022-06-06,6:00:00 PM,0,1006.4,26.1,9,42.9
|
620 |
+
Washington,2022-06-07,12:00:00 AM,0,1004.4,23.3,3,96.9
|
621 |
+
Washington,2022-06-08,6:00:00 AM,0,1001,19.4,0,84.2
|
622 |
+
Washington,2022-06-08,12:00:00 PM,0,1002,22.2,5,52.8
|
623 |
+
Washington,2022-06-08,6:00:00 PM,0,1001,28.9,3,93.5
|
624 |
+
Washington,2022-06-09,12:00:00 AM,1,998,22.8,4,93.5
|
625 |
+
Washington,2022-06-09,6:00:00 AM,1,995,21.7,8,84.2
|
626 |
+
Washington,2022-06-09,12:00:00 PM,8,994.3,22.2,14,46.5
|
627 |
+
Washington,2022-06-09,6:00:00 PM,0,997.3,25.6,13,44.7
|
628 |
+
Washington,2022-06-10,12:00:00 AM,0,999.4,23.3,0,80.5
|
629 |
+
Washington,2022-06-10,6:00:00 AM,0,1001.4,14.4,4,67.7
|
630 |
+
Washington,2022-06-10,12:00:00 PM,0,1002.4,18.9,11,37.7
|
631 |
+
Washington,2022-06-10,6:00:00 PM,0,1001.7,26.7,3,47.9
|
632 |
+
Washington,2022-06-11,12:00:00 AM,0,1001,23.9,0,78.1
|
633 |
+
Washington,2022-06-11,6:00:00 AM,0,1002.4,18.9,4,81.1
|
634 |
+
Washington,2022-06-11,12:00:00 PM,2,1003.7,18.3,5,75.7
|
635 |
+
Washington,2022-06-11,6:00:00 PM,0,1003.7,19.4,5,72.9
|
636 |
+
Washington,2022-06-12,12:00:00 AM,0,1002.4,20,0,89.8
|
637 |
+
Washington,2022-06-12,6:00:00 AM,0,1003,17.8,0,93.3
|
638 |
+
Washington,2022-06-12,12:00:00 PM,0,1002.4,18.3,6,68.9
|
639 |
+
Washington,2022-06-12,6:00:00 PM,0,1001.7,25,7,73.9
|
640 |
+
Washington,2022-06-13,12:00:00 AM,0,1001,25.6,3,87.5
|
641 |
+
Washington,2022-06-13,6:00:00 AM,0,1002.4,23.3,0,87.5
|
642 |
+
Washington,2022-06-13,12:00:00 PM,0,1003.4,23.3,4,50.4
|
643 |
+
Washington,2022-06-13,6:00:00 PM,0,1002.7,32.2,11,67
|
644 |
+
Washington,2022-06-14,12:00:00 AM,0,1001.4,27.8,0,96.4
|
645 |
+
Washington,2022-06-14,6:00:00 AM,6,1001,22.8,7,87.6
|
646 |
+
Washington,2022-06-14,12:00:00 PM,0,1001,25,11,69.1
|
647 |
+
Washington,2022-06-14,6:00:00 PM,0,1002.7,26.1,8,69.3
|
648 |
+
Washington,2022-06-15,12:00:00 AM,0,1002.4,27.2,3,93.4
|
649 |
+
Washington,2022-06-15,6:00:00 AM,0,1004.7,19.4,3,81.8
|
650 |
+
Washington,2022-06-15,12:00:00 PM,0,1006.7,23.9,4,53.1
|
651 |
+
Washington,2022-06-15,6:00:00 PM,0,1007.4,30,7,63.1
|
652 |
+
Washington,2022-06-16,12:00:00 AM,0,1006.4,28.3,7,66.4
|
653 |
+
Washington,2022-06-16,6:00:00 AM,0,1008.1,25,5,63.9
|
654 |
+
Washington,2022-06-16,12:00:00 PM,0,1008.7,23.3,11,61.2
|
655 |
+
Washington,2022-06-16,6:00:00 PM,0,1006.4,30,7,87.7
|
656 |
+
Washington,2022-06-17,12:00:00 AM,8,1003.4,26.1,3,87.4
|
657 |
+
Washington,2022-06-17,6:00:00 AM,0,1001.7,22.2,5,81.9
|
658 |
+
Washington,2022-06-17,12:00:00 PM,0,999.7,25,14,36.2
|
659 |
+
Washington,2022-06-17,6:00:00 PM,0,996.7,35,11,37.3
|
660 |
+
Washington,2022-06-18,12:00:00 AM,0,994.7,30.6,3,53
|
661 |
+
Washington,2022-06-18,6:00:00 AM,0,997,21.7,15,50.9
|
662 |
+
Washington,2022-06-18,12:00:00 PM,0,998.3,21.7,15,45.9
|
663 |
+
Washington,2022-06-18,6:00:00 PM,0,1001,22.2,11,29.2
|
664 |
+
Washington,2022-06-19,12:00:00 AM,0,1001.7,23.3,9,44
|
665 |
+
Washington,2022-06-19,6:00:00 AM,0,1006.4,16.7,14,51.5
|
666 |
+
Washington,2022-06-19,12:00:00 PM,0,1008.7,16.1,14,25.2
|
667 |
+
Washington,2022-06-19,6:00:00 PM,0,1007.4,23.9,7,28.2
|
668 |
+
Washington,2022-06-20,12:00:00 AM,0,1006.7,23.3,0,71.3
|
669 |
+
Washington,2022-06-20,6:00:00 AM,0,1010.1,11.1,0,66.5
|
670 |
+
Washington,2022-06-20,12:00:00 PM,0,1012.8,15.6,11,22.9
|
671 |
+
Washington,2022-06-20,6:00:00 PM,0,1011.4,26.1,3,44.5
|
672 |
+
Washington,2022-06-21,12:00:00 AM,0,1009.8,23.9,0,65.1
|
673 |
+
Washington,2022-06-21,6:00:00 AM,0,1010.1,18.9,0,70.2
|
674 |
+
Washington,2022-06-21,12:00:00 PM,0,1011.1,20,7,41
|
675 |
+
Washington,2022-06-21,6:00:00 PM,0,1009.4,27.2,8,52.4
|
676 |
+
Washington,2022-06-22,12:00:00 AM,0,1006.4,26.1,5,75.4
|
677 |
+
Washington,2022-06-22,6:00:00 AM,0,1005.1,20.6,3,76.1
|
678 |
+
Washington,2022-06-22,12:00:00 PM,0,1003.4,22.2,4,84.5
|
679 |
+
Washington,2022-06-22,6:00:00 PM,4,1001.7,25,6,87.5
|
680 |
+
Washington,2022-06-23,12:00:00 AM,13,1000.4,23.3,7,93.4
|
681 |
+
Washington,2022-06-23,6:00:00 AM,10,1000.4,21.1,0,93.4
|
682 |
+
Washington,2022-06-23,12:00:00 PM,1,1001.4,19.4,5,84
|
683 |
+
Washington,2022-06-23,6:00:00 PM,1,1003.4,20.6,6,81.4
|
684 |
+
Washington,2022-06-24,12:00:00 AM,0,1003,21.1,0,96.9
|
685 |
+
Washington,2022-06-24,6:00:00 AM,0,1004.7,17.2,0,87.2
|
686 |
+
Washington,2022-06-24,12:00:00 PM,0,1006.4,20,5,66.5
|
687 |
+
Washington,2022-06-24,6:00:00 PM,0,1006.7,25.6,5,66.5
|
688 |
+
Washington,2022-06-25,12:00:00 AM,0,1006.7,25.6,3,89.9
|
689 |
+
Washington,2022-06-25,6:00:00 AM,0,1008.4,20,3,84.1
|
690 |
+
Washington,2022-06-25,12:00:00 PM,0,1009.4,21.7,4,53.2
|
691 |
+
Washington,2022-06-25,6:00:00 PM,0,1009.1,30.6,7,60.8
|
692 |
+
Washington,2022-06-26,12:00:00 AM,0,1007.7,28.3,7,78.7
|
693 |
+
Washington,2022-06-26,6:00:00 AM,0,1009.1,22.8,8,75.8
|
694 |
+
Washington,2022-06-26,12:00:00 PM,0,1008.7,22.8,12,51.7
|
695 |
+
Washington,2022-06-26,6:00:00 PM,0,1006.4,31.1,5,76.5
|
696 |
+
Washington,2022-06-27,12:00:00 AM,0,1005.4,24.4,7,87.4
|
697 |
+
Washington,2022-06-27,6:00:00 AM,0,1004.4,22.8,5,90.1
|
698 |
+
Washington,2022-06-27,12:00:00 PM,0,1004.1,22.8,9,81.7
|
699 |
+
Washington,2022-06-27,6:00:00 PM,1,1005.1,23.3,4,64.1
|
700 |
+
Washington,2022-06-28,12:00:00 AM,0,1005.4,25.6,6,60.8
|
701 |
+
Washington,2022-06-28,6:00:00 AM,0,1008.4,18.3,6,61
|
702 |
+
Washington,2022-06-28,12:00:00 PM,0,1011.8,19.4,6,37.4
|
703 |
+
Washington,2022-06-28,6:00:00 PM,0,1011.8,25.6,4,46.3
|
704 |
+
Washington,2022-06-29,12:00:00 AM,0,1011.1,23.9,0,86.2
|
705 |
+
Washington,2022-06-29,6:00:00 AM,0,1012.4,15.6,6,70.2
|
706 |
+
Washington,2022-06-29,12:00:00 PM,0,1013.1,20,11,47.7
|
707 |
+
Washington,2022-06-29,6:00:00 PM,0,1011.8,28.9,4,51
|
708 |
+
Washington,2022-06-30,12:00:00 AM,0,1010.4,28.3,4,78.5
|
709 |
+
Washington,2022-06-30,6:00:00 AM,0,1011.8,21.7,4,71
|
710 |
+
Washington,2022-06-30,12:00:00 PM,0,1012.8,22.2,4,31.4
|
711 |
+
Washington,2022-06-30,6:00:00 PM,0,1011.1,31.1,7,47.7
|
712 |
+
Washington,2022-07-01,12:00:00 AM,0,1009.1,28.9,4,78.8
|
713 |
+
Washington,2022-07-01,6:00:00 AM,0,1009.1,23.9,6,79.4
|
714 |
+
Washington,2022-07-01,12:00:00 PM,0,1008.1,24.4,6,55.4
|
715 |
+
Washington,2022-07-01,6:00:00 PM,0,1006.1,31.1,0,90.3
|
716 |
+
Washington,2022-07-02,12:00:00 AM,2,1004.7,25.6,8,81.9
|
717 |
+
Washington,2022-07-02,6:00:00 AM,0,1003,25,4,81.8
|
718 |
+
Washington,2022-07-02,12:00:00 PM,0,1003.7,23.9,5,48.8
|
719 |
+
Washington,2022-07-02,6:00:00 PM,0,1003,32.8,5,63.2
|
720 |
+
Washington,2022-07-03,12:00:00 AM,0,1002.4,30.6,0,84.4
|
721 |
+
Washington,2022-07-03,6:00:00 AM,0,1003.7,23.9,5,76.3
|
722 |
+
Washington,2022-07-03,12:00:00 PM,0,1006.1,23.3,7,41.2
|
723 |
+
Washington,2022-07-03,6:00:00 PM,0,1006.7,28.9,6,38.7
|
724 |
+
Washington,2022-07-04,12:00:00 AM,0,1006.4,29.4,4,83.9
|
725 |
+
Washington,2022-07-04,6:00:00 AM,0,1009.1,20,5,53.2
|
726 |
+
Washington,2022-07-04,12:00:00 PM,0,1011.1,22.8,3,32.4
|
727 |
+
Washington,2022-07-04,6:00:00 PM,0,1010.8,30,3,40.9
|
728 |
+
Washington,2022-07-05,12:00:00 AM,0,1009.1,27.8,3,70.8
|
729 |
+
Washington,2022-07-05,6:00:00 AM,0,1008.7,21.1,8,78.7
|
730 |
+
Washington,2022-07-05,12:00:00 PM,0,1007.7,22.8,6,90.4
|
731 |
+
Washington,2022-07-05,6:00:00 PM,5,1003,26.1,5,69.7
|
732 |
+
Washington,2022-07-06,12:00:00 AM,0,1000.7,28.9,0,87.5
|
733 |
+
Washington,2022-07-06,6:00:00 AM,0,1001,23.9,4,69.1
|
734 |
+
Washington,2022-07-06,12:00:00 PM,0,1002,26.1,5,50.4
|
735 |
+
Washington,2022-07-06,6:00:00 PM,0,1002,32.2,5,60.9
|
736 |
+
Washington,2022-07-07,12:00:00 AM,0,1000.4,30.6,6,87.6
|
737 |
+
Washington,2022-07-07,6:00:00 AM,0,1001,24.4,7,84.2
|
738 |
+
Washington,2022-07-07,12:00:00 PM,1,1003.4,22.8,7,71.7
|
739 |
+
Washington,2022-07-07,6:00:00 PM,0,1004.1,26.1,4,76.2
|
740 |
+
Washington,2022-07-08,12:00:00 AM,0,1003.4,25.6,0,93.5
|
741 |
+
Washington,2022-07-08,6:00:00 AM,0,1005.1,21.7,4,90.1
|
742 |
+
Washington,2022-07-08,12:00:00 PM,0,1006.1,22.8,5,67.5
|
743 |
+
Washington,2022-07-08,6:00:00 PM,0,1005.1,28.3,4,71.6
|
744 |
+
Washington,2022-07-09,12:00:00 AM,0,1004.1,27.8,6,93.5
|
745 |
+
Washington,2022-07-09,6:00:00 AM,46,1004.1,22.2,5,90.1
|
746 |
+
Washington,2022-07-09,12:00:00 PM,13,1004.4,21.7,11,93.5
|
747 |
+
Washington,2022-07-09,6:00:00 PM,3,1006.1,21.7,5,84.1
|
748 |
+
Washington,2022-07-10,12:00:00 AM,1,1006.1,21.7,0,93.4
|
749 |
+
Washington,2022-07-10,6:00:00 AM,0,1006.4,20,7,81.4
|
750 |
+
Washington,2022-07-10,12:00:00 PM,0,1006.7,21.1,4,58
|
751 |
+
Washington,2022-07-10,6:00:00 PM,0,1006.7,26.1,5,57.7
|
752 |
+
Washington,2022-07-11,12:00:00 AM,0,1005.1,25,0,93.3
|
753 |
+
Washington,2022-07-11,6:00:00 AM,0,1005.1,17.8,0,83.9
|
754 |
+
Washington,2022-07-11,12:00:00 PM,0,1005.4,20,6,40.9
|
755 |
+
Washington,2022-07-11,6:00:00 PM,0,1003.7,27.8,6,48.5
|
756 |
+
Washington,2022-07-12,12:00:00 AM,0,1001,26.1,6,75.8
|
757 |
+
Washington,2022-07-12,6:00:00 AM,0,1000.7,20,7,73.1
|
758 |
+
Washington,2022-07-12,12:00:00 PM,0,999.4,21.1,14,55.2
|
759 |
+
Washington,2022-07-12,6:00:00 PM,0,997.7,30.6,6,90.1
|
760 |
+
Washington,2022-07-13,12:00:00 AM,12,999.4,21.7,0,96.4
|
761 |
+
Washington,2022-07-13,6:00:00 AM,1,1000.4,20.6,3,93.5
|
762 |
+
Washington,2022-07-13,12:00:00 PM,0,1002.7,22.2,4,51.3
|
763 |
+
Washington,2022-07-13,6:00:00 PM,0,1002.4,30.6,3,48
|
764 |
+
Washington,2022-07-14,12:00:00 AM,0,1001.4,30,0,92.8
|
765 |
+
Washington,2022-07-14,6:00:00 AM,11,1002.7,20.6,0,66.1
|
766 |
+
Washington,2022-07-14,12:00:00 PM,0,1005.1,23.9,3,48
|
767 |
+
Washington,2022-07-14,6:00:00 PM,0,1006.4,30,0,60.3
|
768 |
+
Washington,2022-07-15,12:00:00 AM,0,1005.7,27.8,0,92.8
|
769 |
+
Washington,2022-07-15,6:00:00 AM,0,1008.1,20.6,5,64.1
|
770 |
+
Washington,2022-07-15,12:00:00 PM,0,1009.1,23.9,4,36.1
|
771 |
+
Washington,2022-07-15,6:00:00 PM,0,1008.7,30.6,0,46.1
|
772 |
+
Washington,2022-07-16,12:00:00 AM,0,1007.4,28.3,3,90
|
773 |
+
Washington,2022-07-16,6:00:00 AM,0,1008.4,21.1,4,84.2
|
774 |
+
Washington,2022-07-16,12:00:00 PM,0,1008.4,22.8,3,68.6
|
775 |
+
Washington,2022-07-16,6:00:00 PM,1,1007.1,25.6,10,73.8
|
776 |
+
Washington,2022-07-17,12:00:00 AM,0,1005.4,25,0,93.5
|
777 |
+
Washington,2022-07-17,6:00:00 AM,4,1006.1,22.2,3,93.5
|
778 |
+
Washington,2022-07-17,12:00:00 PM,1,1005.4,22.2,4,69.7
|
779 |
+
Washington,2022-07-17,6:00:00 PM,0,1005.4,28.9,0,84.7
|
780 |
+
Washington,2022-07-18,12:00:00 AM,1,1004.1,27.2,4,93.5
|
781 |
+
Washington,2022-07-18,6:00:00 AM,0,1004.1,22.8,6,90.2
|
782 |
+
Washington,2022-07-18,12:00:00 PM,0,1003,23.9,7,63.3
|
783 |
+
Washington,2022-07-18,6:00:00 PM,0,1000.4,31.1,5,81.7
|
784 |
+
Washington,2022-07-19,12:00:00 AM,4,999,26.7,0,84.4
|
785 |
+
Washington,2022-07-19,6:00:00 AM,0,1000.4,23.9,9,79.4
|
786 |
+
Washington,2022-07-19,12:00:00 PM,0,1001.4,24.4,10,51.3
|
787 |
+
Washington,2022-07-19,6:00:00 PM,0,1001,30.6,7,65.2
|
788 |
+
Washington,2022-07-20,12:00:00 AM,0,999.4,28.9,0,93.5
|
789 |
+
Washington,2022-07-20,6:00:00 AM,0,1000.4,22.2,0,84.9
|
790 |
+
Washington,2022-07-20,12:00:00 PM,0,1000.4,24.4,8,50.3
|
791 |
+
Washington,2022-07-20,6:00:00 PM,0,998.3,32.8,7,57
|
792 |
+
Washington,2022-07-21,12:00:00 AM,0,996,30.6,6,76.8
|
793 |
+
Washington,2022-07-21,6:00:00 AM,0,995,26.1,4,82.1
|
794 |
+
Washington,2022-07-21,12:00:00 PM,0,995.3,26.1,6,55.6
|
795 |
+
Washington,2022-07-21,6:00:00 PM,0,996.3,32.2,5,69.9
|
796 |
+
Washington,2022-07-22,12:00:00 AM,3,996.7,30,0,93.5
|
797 |
+
Washington,2022-07-22,6:00:00 AM,0,999.7,22.2,0,76.2
|
798 |
+
Washington,2022-07-22,12:00:00 PM,0,1002.7,25.6,10,47
|
799 |
+
Washington,2022-07-22,6:00:00 PM,0,1003,32.8,7,55.2
|
800 |
+
Washington,2022-07-23,12:00:00 AM,0,1003,30.6,3,87.5
|
801 |
+
Washington,2022-07-23,6:00:00 AM,0,1005.1,23.3,0,73.9
|
802 |
+
Washington,2022-07-23,12:00:00 PM,0,1006.7,25.6,9,37.1
|
803 |
+
Washington,2022-07-23,6:00:00 PM,0,1007.1,33.9,24,58.4
|
804 |
+
Washington,2022-07-24,12:00:00 AM,0,1008.4,27.8,4,92.8
|
805 |
+
Washington,2022-07-24,6:00:00 AM,2,1006.7,20.6,6,81.7
|
806 |
+
Washington,2022-07-24,12:00:00 PM,0,1007.4,23.3,6,42.6
|
807 |
+
Washington,2022-07-24,6:00:00 PM,0,1005.7,33.9,3,57.4
|
808 |
+
Washington,2022-07-25,12:00:00 AM,0,1003.7,31.1,9,74.1
|
809 |
+
Washington,2022-07-25,6:00:00 AM,0,1002.7,26.7,9,76.8
|
810 |
+
Washington,2022-07-25,12:00:00 PM,0,1002.7,26.1,7,63.4
|
811 |
+
Washington,2022-07-25,6:00:00 PM,0,1002.7,31.7,7,87.6
|
812 |
+
Washington,2022-07-26,12:00:00 AM,12,1003,25,3,96.4
|
813 |
+
Washington,2022-07-26,6:00:00 AM,0,1004.4,22.8,8,70.9
|
814 |
+
Washington,2022-07-26,12:00:00 PM,0,1006.1,23.9,3,66.4
|
815 |
+
Washington,2022-07-26,6:00:00 PM,0,1006.4,25,4,71.4
|
816 |
+
Washington,2022-07-27,12:00:00 AM,0,1005.4,24.4,0,90.1
|
817 |
+
Washington,2022-07-27,6:00:00 AM,0,1004.4,21.7,0,78.8
|
818 |
+
Washington,2022-07-27,12:00:00 PM,0,1004.1,23.9,7,59.2
|
819 |
+
Washington,2022-07-27,6:00:00 PM,0,1003,31.1,5,77.1
|
820 |
+
Washington,2022-07-28,12:00:00 AM,0,1001.4,28.3,7,90.2
|
821 |
+
Washington,2022-07-28,6:00:00 AM,0,1001,23.9,3,87.6
|
822 |
+
Washington,2022-07-28,12:00:00 PM,0,1001.7,25,10,53.5
|
823 |
+
Washington,2022-07-28,6:00:00 PM,0,1000.7,31.7,7,90.2
|
824 |
+
Washington,2022-07-29,12:00:00 AM,6,1001,23.9,0,93.5
|
825 |
+
Washington,2022-07-29,6:00:00 AM,0,1002,20.6,0,84.7
|
826 |
+
Washington,2022-07-29,12:00:00 PM,0,1002.7,22.8,5,87.5
|
827 |
+
Washington,2022-07-29,6:00:00 PM,1,1003,26.7,3,90.1
|
828 |
+
Washington,2022-07-30,12:00:00 AM,0,1002.7,23.9,4,76.3
|
829 |
+
Washington,2022-07-30,6:00:00 AM,0,1004.7,21.7,8,46.1
|
830 |
+
Washington,2022-07-30,12:00:00 PM,0,1008.4,23.3,8,60.3
|
831 |
+
Washington,2022-07-30,6:00:00 PM,0,1009.4,28.3,3,84
|
832 |
+
Washington,2022-07-31,12:00:00 AM,0,1009.4,26.1,3,86.8
|
833 |
+
Washington,2022-07-31,6:00:00 AM,0,1011.1,21.1,0,57.9
|
834 |
+
Washington,2022-07-31,12:00:00 PM,0,1010.8,21.7,4,93.5
|
835 |
+
Washington,2022-07-31,6:00:00 PM,0,1010.1,25.6,0,93.5
|
836 |
+
Washington,2022-08-01,12:00:00 AM,3,1007.7,21.7,0,81.6
|
837 |
+
Washington,2022-08-01,6:00:00 AM,1,1005.4,21.7,6,56.5
|
838 |
+
Washington,2022-08-01,12:00:00 PM,0,1005.1,22.2,6,67
|
839 |
+
Washington,2022-08-01,6:00:00 PM,0,1004.1,28.9,4,96.4
|
840 |
+
Washington,2022-08-02,12:00:00 AM,0,1001,27.8,0,84.9
|
841 |
+
Washington,2022-08-02,6:00:00 AM,1,1000,21.7,3,48.2
|
842 |
+
Washington,2022-08-02,12:00:00 PM,1,1001.4,24.4,10,51.3
|
843 |
+
Washington,2022-08-02,6:00:00 PM,0,1001,31.7,7,73.6
|
844 |
+
Washington,2022-08-03,12:00:00 AM,0,1001.4,29.4,6,68.6
|
845 |
+
Washington,2022-08-03,6:00:00 AM,0,1004.1,23.9,5,47.9
|
846 |
+
Washington,2022-08-03,12:00:00 PM,0,1006.1,25.6,3,58.7
|
847 |
+
Washington,2022-08-03,6:00:00 PM,0,1005.7,30.6,6,81.7
|
848 |
+
Washington,2022-08-04,12:00:00 AM,0,1003.7,28.9,3,76.8
|
849 |
+
Washington,2022-08-04,6:00:00 AM,0,1006.1,23.3,0,43.1
|
850 |
+
Washington,2022-08-04,12:00:00 PM,0,1007.1,26.1,5,64.8
|
851 |
+
Washington,2022-08-04,6:00:00 PM,0,1006.4,35,6,97
|
852 |
+
Washington,2022-08-05,12:00:00 AM,0,1007.4,27.2,5,93.5
|
853 |
+
Washington,2022-08-05,6:00:00 AM,19,1009.1,22.2,3,55.5
|
854 |
+
Washington,2022-08-05,12:00:00 PM,0,1010.1,22.8,0,81.9
|
855 |
+
Washington,2022-08-05,6:00:00 PM,0,1010.1,31.7,7,93.5
|
856 |
+
Washington,2022-08-06,12:00:00 AM,0,1010.8,25,3,93.5
|
857 |
+
Washington,2022-08-06,6:00:00 AM,0,1011.1,22.2,6,63.2
|
858 |
+
Washington,2022-08-06,12:00:00 PM,0,1013.1,22.2,8,74.4
|
859 |
+
Washington,2022-08-06,6:00:00 PM,0,1012.1,30.6,7,81.8
|
860 |
+
Washington,2022-08-07,12:00:00 AM,0,1010.8,28.3,6,87.5
|
861 |
+
Washington,2022-08-07,6:00:00 AM,0,1011.8,23.9,6,59.5
|
862 |
+
Washington,2022-08-07,12:00:00 PM,0,1012.1,23.3,9,65.3
|
863 |
+
Washington,2022-08-07,6:00:00 PM,0,1010.4,32.2,7,79.1
|
864 |
+
Washington,2022-08-08,12:00:00 AM,0,1008.4,29.4,6,87.1
|
865 |
+
Washington,2022-08-08,6:00:00 AM,0,1007.7,25.6,5,55.8
|
866 |
+
Washington,2022-08-08,12:00:00 PM,0,1007.7,25.6,7,72.1
|
867 |
+
Washington,2022-08-08,6:00:00 PM,0,1005.7,32.8,4,81.5
|
868 |
+
Washington,2022-08-09,12:00:00 AM,0,1003.7,28.3,3,84.5
|
869 |
+
Washington,2022-08-09,6:00:00 AM,0,1004.4,25.6,7,49.2
|
870 |
+
Washington,2022-08-09,12:00:00 PM,0,1005.1,25.6,3,57
|
871 |
+
Washington,2022-08-09,6:00:00 PM,0,1004.4,34.4,24,87.6
|
872 |
+
Washington,2022-08-10,12:00:00 AM,0,1004.1,29.4,5,84.5
|
873 |
+
Washington,2022-08-10,6:00:00 AM,2,1005.7,24.4,4,54.2
|
874 |
+
Washington,2022-08-10,12:00:00 PM,0,1007.4,25.6,3,93.5
|
875 |
+
Washington,2022-08-10,6:00:00 PM,0,1006.1,33.3,4,96.4
|
876 |
+
Washington,2022-08-11,12:00:00 AM,23,1005.4,22.8,0,87.4
|
877 |
+
Washington,2022-08-11,6:00:00 AM,1,1004.1,21.7,7,41.2
|
878 |
+
Washington,2022-08-11,12:00:00 PM,0,1004.7,22.2,8,56.5
|
879 |
+
Washington,2022-08-11,6:00:00 PM,0,1003.7,28.9,3,68.5
|
880 |
+
Washington,2022-08-12,12:00:00 AM,0,1002.7,27.2,6,57.1
|
881 |
+
Washington,2022-08-12,6:00:00 AM,0,1004.1,22.8,10,38
|
882 |
+
Washington,2022-08-12,12:00:00 PM,0,1006.1,22.2,7,43.4
|
883 |
+
Washington,2022-08-12,6:00:00 PM,0,1006.4,27.8,6,77.8
|
884 |
+
Washington,2022-08-13,12:00:00 AM,0,1006.4,25,3,58.5
|
885 |
+
Washington,2022-08-13,6:00:00 AM,0,1007.7,17.2,5,44.7
|
886 |
+
Washington,2022-08-13,12:00:00 PM,0,1010.4,18.9,72,80.5
|
887 |
+
Washington,2022-08-13,6:00:00 PM,0,1009.1,,3,72.9
|
888 |
+
Washington,2022-08-14,12:00:00 AM,0,1007.4,23.3,0,43.9
|
889 |
+
Washington,2022-08-14,6:00:00 AM,0,1007.4,17.8,5,84
|
890 |
+
Washington,2022-08-14,12:00:00 PM,0,1006.7,20,9,90.5
|
891 |
+
Washington,2022-08-14,6:00:00 PM,0,1005.7,27.8,4,93.4
|
892 |
+
Washington,2022-08-15,12:00:00 AM,1,1005.1,20.6,6,76.1
|
893 |
+
Washington,2022-08-15,6:00:00 AM,4,1004.7,19.4,0,81.2
|
894 |
+
Washington,2022-08-15,12:00:00 PM,0,1004.1,19.4,7,84.4
|
895 |
+
Washington,2022-08-15,6:00:00 PM,0,1004.4,22.2,5,84
|
896 |
+
Washington,2022-08-16,12:00:00 AM,0,1003.7,19.4,6,45.2
|
897 |
+
Washington,2022-08-16,6:00:00 AM,0,1004.4,19.4,3,49.7
|
898 |
+
Washington,2022-08-16,12:00:00 PM,0,1004.7,20.6,6,87
|
899 |
+
Washington,2022-08-16,6:00:00 PM,0,1004.7,26.1,5,46.8
|
900 |
+
Washington,2022-08-17,12:00:00 AM,0,1004.4,23.3,3,61.4
|
901 |
+
Washington,2022-08-17,12:00:00 PM,0,1006.1,17.8,3,92.6
|
902 |
+
Washington,2022-08-17,6:00:00 PM,0,1005.1,26.7,9,78.1
|
903 |
+
Washington,2022-08-18,12:00:00 AM,1,1004.4,22.8,0,42.6
|
904 |
+
Washington,2022-08-18,6:00:00 AM,0,1004.1,15.6,3,51.9
|
905 |
+
Washington,2022-08-18,12:00:00 PM,0,1004.7,18.9,7,90.4
|
906 |
+
Washington,2022-08-18,6:00:00 PM,0,1004.1,28.3,0,81.4
|
907 |
+
Washington,2022-08-19,12:00:00 AM,0,1003.7,25.6,3,48.3
|
908 |
+
Washington,2022-08-19,6:00:00 AM,0,1005.7,18.3,0,84.8
|
909 |
+
Washington,2022-08-19,12:00:00 PM,0,1007.4,21.1,10,90.1
|
910 |
+
Washington,2022-08-19,6:00:00 PM,0,1007.1,31.1,5,90
|
911 |
+
Washington,2022-08-20,12:00:00 AM,1,1007.1,23.3,4,46.2
|
912 |
+
Washington,2022-08-20,6:00:00 AM,0,1009.1,21.7,0,60.5
|
913 |
+
Washington,2022-08-20,12:00:00 PM,0,1010.1,21.1,4,90.7
|
914 |
+
Washington,2022-08-20,6:00:00 PM,0,1009.4,30,7,90.1
|
915 |
+
Washington,2022-08-21,12:00:00 AM,0,1008.4,27.2,6,90.2
|
916 |
+
Washington,2022-08-21,6:00:00 AM,0,1008.4,22.2,6,84.8
|
917 |
+
Washington,2022-08-21,12:00:00 PM,0,1008.4,22.8,7,96.4
|
918 |
+
Washington,2022-08-21,6:00:00 PM,1,1007.4,23.9,0,96.4
|
919 |
+
Washington,2022-08-22,12:00:00 AM,0,1005.1,23.3,0,67.5
|
920 |
+
Washington,2022-08-22,6:00:00 AM,0,1003,21.7,4,71.4
|
921 |
+
Washington,2022-08-22,12:00:00 PM,0,1002,22.8,9,84
|
922 |
+
Washington,2022-08-22,6:00:00 PM,0,1000.4,28.3,4,75.8
|
923 |
+
Washington,2022-08-23,12:00:00 AM,0,999.4,26.7,3,45.9
|
924 |
+
Washington,2022-08-23,6:00:00 AM,0,1000.4,20.6,7,45.5
|
925 |
+
Washington,2022-08-23,12:00:00 PM,0,1001,22.8,6,83.7
|
926 |
+
Washington,2022-08-23,6:00:00 PM,0,1001.4,28.9,3,70.5
|
927 |
+
Washington,2022-08-24,12:00:00 AM,0,1001.7,27.2,0,39.2
|
928 |
+
Washington,2022-08-24,6:00:00 AM,0,1004.1,17.8,3,44.3
|
929 |
+
Washington,2022-08-24,12:00:00 PM,0,1005.7,21.7,8,83.9
|
930 |
+
Washington,2022-08-24,6:00:00 PM,0,1005.7,31.1,4,78.7
|
931 |
+
Washington,2022-08-25,12:00:00 AM,0,1004.7,28.3,3,45.1
|
932 |
+
Washington,2022-08-25,6:00:00 AM,0,1007.1,20,0,67
|
933 |
+
Washington,2022-08-25,12:00:00 PM,0,1007.4,22.8,3,87.5
|
934 |
+
Washington,2022-08-25,6:00:00 PM,0,1006.4,31.1,5,93.5
|
935 |
+
Washington,2022-08-26,12:00:00 AM,0,1005.1,27.8,6,39.5
|
936 |
+
Washington,2022-08-26,6:00:00 AM,0,1005.1,23.9,4,56.3
|
937 |
+
Washington,2022-08-26,12:00:00 PM,0,1004.4,22.8,8,78.7
|
938 |
+
Washington,2022-08-26,6:00:00 PM,0,1003,32.2,3,78.7
|
939 |
+
Washington,2022-08-27,12:00:00 AM,0,1002,27.8,3,45.4
|
940 |
+
Washington,2022-08-27,6:00:00 AM,0,1004.1,23.3,5,54.7
|
941 |
+
Washington,2022-08-27,12:00:00 PM,0,1005.4,23.3,6,84.2
|
942 |
+
Washington,2022-08-27,6:00:00 PM,0,1005.1,32.2,6,75.9
|
943 |
+
Washington,2022-08-28,12:00:00 AM,0,1004.4,28.3,0,50.4
|
944 |
+
Washington,2022-08-28,6:00:00 AM,0,1006.4,22.8,3,60.8
|
945 |
+
Washington,2022-08-28,12:00:00 PM,0,1008.4,23.9,7,90.2
|
946 |
+
Washington,2022-08-28,6:00:00 PM,0,1008.1,32.2,4,90.8
|
947 |
+
Washington,2022-08-29,12:00:00 AM,1,1006.4,28.3,3,53.5
|
948 |
+
Washington,2022-08-29,6:00:00 AM,0,1008.4,23.9,3,60.8
|
949 |
+
Washington,2022-08-29,12:00:00 PM,0,1009.1,24.4,5,87.5
|
950 |
+
Washington,2022-08-29,6:00:00 PM,0,1007.7,31.7,5,87.5
|
951 |
+
Washington,2022-08-30,12:00:00 AM,0,1005.4,28.3,4,45.7
|
952 |
+
Washington,2022-08-30,6:00:00 AM,0,1004.7,23.9,5,93.5
|
953 |
+
Washington,2022-08-30,12:00:00 PM,0,1003,23.9,11,96.3
|
954 |
+
Washington,2022-08-30,6:00:00 PM,0,998.7,33.3,3,73.2
|
955 |
+
Washington,2022-08-31,12:00:00 AM,4,999,23.3,0,39.7
|
956 |
+
Washington,2022-08-31,6:00:00 AM,0,1000.7,18.9,5,45
|
957 |
+
Washington,2022-08-31,12:00:00 PM,0,1002.4,21.7,14,77.8
|
958 |
+
Washington,2022-08-31,6:00:00 PM,0,1002,28.3,7,84.3
|
959 |
+
Washington,2022-09-01,12:00:00 AM,0,1001.7,25.6,0,30.4
|
960 |
+
Washington,2022-09-01,6:00:00 AM,0,1004.1,17.2,0,48.5
|
961 |
+
Washington,2022-09-01,12:00:00 PM,0,1005.7,18.3,6,87
|
962 |
+
Washington,2022-09-01,6:00:00 PM,0,1005.7,31.1,3,65.4
|
963 |
+
Washington,2022-09-02,12:00:00 AM,0,1005.1,26.1,0,42.8
|
964 |
+
Washington,2022-09-02,6:00:00 AM,0,1007.7,17.8,6,56.2
|
965 |
+
Washington,2022-09-02,12:00:00 PM,0,1011.4,20.6,3,84.1
|
966 |
+
Washington,2022-09-02,6:00:00 PM,0,1011.4,28.9,6,86.8
|
967 |
+
Washington,2022-09-03,12:00:00 AM,0,1011.1,26.1,0,56.5
|
968 |
+
Washington,2022-09-03,6:00:00 AM,0,1012.8,21.7,5,64.6
|
969 |
+
Washington,2022-09-03,12:00:00 PM,0,1013.4,21.7,9,81
|
970 |
+
Washington,2022-09-03,6:00:00 PM,0,1012.1,28.9,5,84.2
|
971 |
+
Washington,2022-09-04,12:00:00 AM,0,1009.4,26.1,5,51.3
|
972 |
+
Washington,2022-09-04,6:00:00 AM,0,1010.4,21.7,3,60.3
|
973 |
+
Washington,2022-09-04,12:00:00 PM,0,1010.1,22.2,7,66.1
|
974 |
+
Washington,2022-09-04,6:00:00 PM,0,1008.1,30.6,5,78.7
|
975 |
+
Washington,2022-09-05,12:00:00 AM,0,1006.4,27.8,8,60.9
|
976 |
+
Washington,2022-09-05,6:00:00 AM,0,1007.1,23.9,6,79
|
977 |
+
Washington,2022-09-05,12:00:00 PM,0,1007.7,22.8,8,93.5
|
978 |
+
Washington,2022-09-05,6:00:00 PM,0,1006.4,28.9,0,93.5
|
979 |
+
Washington,2022-09-06,12:00:00 AM,1,1005.1,25,0,54.9
|
980 |
+
Washington,2022-09-06,6:00:00 AM,3,1004.4,22.8,8,66.7
|
981 |
+
Washington,2022-09-06,12:00:00 PM,29,1002.4,22.2,9,90.7
|
982 |
+
Washington,2022-09-06,6:00:00 PM,0,1002.7,29.4,6,90.1
|
983 |
+
Washington,2022-09-07,12:00:00 AM,0,1003,26.7,4,84.2
|
984 |
+
Washington,2022-09-07,6:00:00 AM,0,1003.7,22.2,4,86.8
|
985 |
+
Washington,2022-09-07,12:00:00 PM,4,1004.1,21.7,7,86.7
|
986 |
+
Washington,2022-09-07,6:00:00 PM,7,1003,22.8,7,86.7
|
987 |
+
Washington,2022-09-08,12:00:00 AM,4,1002.7,21.7,4,66.1
|
988 |
+
Washington,2022-09-08,6:00:00 AM,0,1003,20.6,5,68.4
|
989 |
+
Washington,2022-09-08,12:00:00 PM,0,1003,20.6,8,93.2
|
990 |
+
Washington,2022-09-08,6:00:00 PM,0,1002.7,23.9,4,89.9
|
991 |
+
Washington,2022-09-09,12:00:00 AM,0,1001.4,22.2,0,49.1
|
992 |
+
Washington,2022-09-09,6:00:00 AM,0,1003.4,17.2,5,55
|
993 |
+
Washington,2022-09-09,12:00:00 PM,0,1006.1,18.9,6,84.3
|
994 |
+
Washington,2022-09-09,6:00:00 PM,0,1006.7,27.2,5,93.2
|
995 |
+
Washington,2022-09-10,12:00:00 AM,0,1007.4,22.8,0,62.2
|
996 |
+
Washington,2022-09-10,6:00:00 AM,0,1010.8,18.3,0,70.9
|
997 |
+
Washington,2022-09-10,12:00:00 PM,0,1012.4,17.2,5,86.8
|
998 |
+
Washington,2022-09-10,6:00:00 PM,0,1012.4,26.1,5,93.5
|
999 |
+
Washington,2022-09-11,12:00:00 AM,0,1010.8,23.9,0,82.1
|
1000 |
+
Washington,2022-09-11,6:00:00 AM,1,1010.8,21.7,5,87.6
|
1001 |
+
Washington,2022-09-11,12:00:00 PM,13,1008.4,21.7,6,96.4
|
1002 |
+
Washington,2022-09-11,6:00:00 PM,2,1006.1,26.1,3,65
|
1003 |
+
Washington,2022-09-12,12:00:00 AM,0,1003,24.4,5,93.5
|
1004 |
+
Washington,2022-09-12,6:00:00 AM,0,1001.7,22.8,3,93.4
|
1005 |
+
Washington,2022-09-12,12:00:00 PM,0,1000.4,22.2,3,84
|
1006 |
+
Washington,2022-09-12,6:00:00 PM,0,998.7,28.3,0,40.6
|
1007 |
+
Washington,2022-09-13,12:00:00 AM,7,997.3,22.2,0,57.1
|
1008 |
+
Washington,2022-09-13,6:00:00 AM,0,998,21.1,4,67.5
|
1009 |
+
Washington,2022-09-13,12:00:00 PM,0,999.4,20.6,9,69.5
|
1010 |
+
Washington,2022-09-13,6:00:00 PM,0,999,26.1,5,47
|
1011 |
+
Washington,2022-09-14,12:00:00 AM,0,1000,22.2,6,61.3
|
1012 |
+
Washington,2022-09-14,6:00:00 AM,0,1003.4,17.8,5,75.1
|
1013 |
+
Washington,2022-09-14,12:00:00 PM,0,1006.1,16.7,9,72.8
|
1014 |
+
Washington,2022-09-14,6:00:00 PM,0,1007.1,26.1,4,46.8
|
1015 |
+
Washington,2022-09-15,12:00:00 AM,0,1006.7,22.2,6,56.8
|
1016 |
+
Washington,2022-09-15,6:00:00 AM,0,1009.1,18.9,6,90
|
1017 |
+
Washington,2022-09-15,12:00:00 PM,0,1011.4,19.4,10,93
|
1018 |
+
Washington,2022-09-15,6:00:00 PM,0,1010.8,26.7,6,43.6
|
1019 |
+
Washington,2022-09-16,12:00:00 AM,0,1010.4,21.1,0,68.1
|
1020 |
+
Washington,2022-09-16,6:00:00 AM,0,1012.1,13.3,0,93.1
|
1021 |
+
Washington,2022-09-16,12:00:00 PM,0,1012.8,13.3,7,96.2
|
1022 |
+
Washington,2022-09-16,6:00:00 PM,0,1011.8,26.7,0,44
|
1023 |
+
Washington,2022-09-17,12:00:00 AM,0,1010.4,21.1,0,63.2
|
1024 |
+
Washington,2022-09-17,6:00:00 AM,0,1011.8,15,0,89.7
|
1025 |
+
Washington,2022-09-17,12:00:00 PM,0,1013.1,15,7,93.2
|
1026 |
+
Washington,2022-09-17,6:00:00 PM,0,1012.4,27.2,4,50.9
|
1027 |
+
Washington,2022-09-18,12:00:00 AM,0,1010.8,21.7,4,66.4
|
1028 |
+
Washington,2022-09-18,6:00:00 AM,0,1010.1,16.7,5,90.4
|
1029 |
+
Washington,2022-09-18,12:00:00 PM,0,1009.4,16.1,4,96.3
|
1030 |
+
Washington,2022-09-18,6:00:00 PM,0,1007.7,27.8,5,43.1
|
1031 |
+
Washington,2022-09-19,12:00:00 AM,0,1005.7,23.3,3,68.7
|
1032 |
+
Washington,2022-09-19,6:00:00 AM,0,1005.4,18.3,0,93.3
|
1033 |
+
Washington,2022-09-19,12:00:00 PM,0,1005.4,17.8,6,78.6
|
1034 |
+
Washington,2022-09-19,6:00:00 PM,0,1003.4,30,3,47.3
|
1035 |
+
Washington,2022-09-20,12:00:00 AM,0,1001.4,23.9,0,46.6
|
1036 |
+
Washington,2022-09-20,6:00:00 AM,0,1002,17.8,4,89.6
|
1037 |
+
Washington,2022-09-20,12:00:00 PM,0,1004.1,22.2,11,93.1
|
1038 |
+
Washington,2022-09-20,6:00:00 PM,0,1003.7,27.2,4,41.2
|
1039 |
+
Washington,2022-09-21,12:00:00 AM,0,1003.7,25,0,57.7
|
1040 |
+
Washington,2022-09-21,6:00:00 AM,0,1004.4,15.6,3,73.2
|
1041 |
+
Washington,2022-09-21,12:00:00 PM,0,1005.4,15,5,81.4
|
1042 |
+
Washington,2022-09-21,6:00:00 PM,0,1003,28.9,6,65.9
|
1043 |
+
Washington,2022-09-22,12:00:00 AM,0,1000.4,25,7,39.9
|
1044 |
+
Washington,2022-09-22,6:00:00 AM,0,997.7,21.7,9,61.7
|
1045 |
+
Washington,2022-09-22,12:00:00 PM,0,994,21.1,13,58.7
|
1046 |
+
Washington,2022-09-22,6:00:00 PM,1,994.7,22.8,18,32.8
|
1047 |
+
Washington,2022-09-23,12:00:00 AM,0,998.7,18.9,8,39.3
|
1048 |
+
Washington,2022-09-23,6:00:00 AM,0,1003.7,13.3,8,71.2
|
1049 |
+
Washington,2022-09-23,12:00:00 PM,0,1006.4,11.7,14,79.9
|
1050 |
+
Washington,2022-09-23,6:00:00 PM,0,1006.7,18.9,4,41.8
|
1051 |
+
Washington,2022-09-24,12:00:00 AM,0,1007.4,16.7,0,69.2
|
1052 |
+
Washington,2022-09-24,6:00:00 AM,0,1009.4,10.6,0,86.5
|
1053 |
+
Washington,2022-09-24,12:00:00 PM,0,1009.4,10,5,83.8
|
1054 |
+
Washington,2022-09-24,6:00:00 PM,0,1006.4,19.4,3,59.6
|
1055 |
+
Washington,2022-09-25,12:00:00 AM,0,1003.4,15,0,63.5
|
1056 |
+
Washington,2022-09-25,6:00:00 AM,0,1000.4,13.3,5,90
|
1057 |
+
Washington,2022-09-25,12:00:00 PM,0,998.3,14.4,12,93.1
|
1058 |
+
Washington,2022-09-25,6:00:00 PM,0,994,23.3,10,37.2
|
1059 |
+
Washington,2022-09-26,12:00:00 AM,0,992.6,21.1,3,50.3
|
1060 |
+
Washington,2022-09-26,6:00:00 AM,0,995.7,13.3,3,51.5
|
1061 |
+
Washington,2022-09-26,12:00:00 PM,0,996.3,14.4,10,66.7
|
1062 |
+
Washington,2022-09-26,6:00:00 PM,0,996,25,3,35.8
|
1063 |
+
Washington,2022-09-27,12:00:00 AM,0,998,18.3,5,44
|
1064 |
+
Washington,2022-09-27,6:00:00 AM,0,1000.4,16.1,0,68.1
|
1065 |
+
Washington,2022-09-27,12:00:00 PM,0,1001.7,14.4,11,79.8
|
1066 |
+
Washington,2022-09-27,6:00:00 PM,0,1002.7,20,14,45.1
|
1067 |
+
Washington,2022-09-28,12:00:00 AM,0,1005.1,16.7,7,61.8
|
1068 |
+
Washington,2022-09-28,6:00:00 AM,0,1008.1,10,0,79.6
|
1069 |
+
Washington,2022-09-28,12:00:00 PM,0,1010.4,8.9,14,82.9
|
1070 |
+
Washington,2022-09-28,6:00:00 PM,0,1011.4,20.6,6,45.1
|
1071 |
+
Washington,2022-09-29,12:00:00 AM,0,1013.1,15.6,4,55.7
|
1072 |
+
Washington,2022-09-29,6:00:00 AM,0,1015.5,11.7,5,71.5
|
1073 |
+
Washington,2022-09-29,12:00:00 PM,0,1017.1,11.7,12,74.3
|
1074 |
+
Washington,2022-09-29,6:00:00 PM,0,1016.5,19.4,10,66.5
|
1075 |
+
Washington,2022-09-30,12:00:00 AM,0,1015.1,16.7,7,83.7
|
1076 |
+
Washington,2022-09-30,6:00:00 AM,0,1014.5,12.2,7,93
|
1077 |
+
Washington,2022-09-30,12:00:00 PM,0,1014.1,11.1,7,93
|
1078 |
+
Washington,2022-09-30,6:00:00 PM,0,1011.1,15.6,11,89.6
|
1079 |
+
Washington,2022-10-01,12:00:00 AM,1,1006.7,13.3,9,96.9
|
1080 |
+
Washington,2022-10-01,6:00:00 AM,16,1003.4,11.7,11,96.2
|
1081 |
+
Washington,2022-10-01,12:00:00 PM,4,1001.4,13.3,10,93.1
|
1082 |
+
Washington,2022-10-01,6:00:00 PM,1,1000,15.6,5,90
|
1083 |
+
Washington,2022-10-02,12:00:00 AM,2,999.7,16.1,5,86.5
|
1084 |
+
Washington,2022-10-02,6:00:00 AM,2,1001,15.6,10,83
|
1085 |
+
Washington,2022-10-02,12:00:00 PM,1,1002.4,13.9,8,70.8
|
1086 |
+
Washington,2022-10-02,6:00:00 PM,5,1006.1,13.3,10,56.6
|
1087 |
+
Washington,2022-10-03,12:00:00 AM,5,1009.1,12.8,10,76.7
|
1088 |
+
Washington,2022-10-03,6:00:00 AM,1,1009.8,12.2,10,86.1
|
1089 |
+
Washington,2022-10-03,12:00:00 PM,0,1011.8,8.9,11,83.2
|
1090 |
+
Washington,2022-10-03,6:00:00 PM,0,1012.1,12.8,7,71.4
|
1091 |
+
Washington,2022-10-04,12:00:00 AM,3,1011.8,10,8,85.7
|
1092 |
+
Washington,2022-10-04,6:00:00 AM,3,1009.1,9.4,10,89.2
|
1093 |
+
Washington,2022-10-04,12:00:00 PM,2,1007.1,9.4,13,92.3
|
1094 |
+
Washington,2022-10-04,6:00:00 PM,0,1005.1,11.7,10,67.3
|
1095 |
+
Washington,2022-10-05,12:00:00 AM,0,1004.4,10.6,10,67.5
|
1096 |
+
Washington,2022-10-05,6:00:00 AM,0,1002.7,10,8,92.9
|
1097 |
+
Washington,2022-10-05,12:00:00 PM,2,1003.4,10.6,11,89.2
|
1098 |
+
Washington,2022-10-05,6:00:00 PM,0,1004.1,17.2,5,40.2
|
1099 |
+
Washington,2022-10-06,12:00:00 AM,0,1005.1,17.8,0,77.7
|
1100 |
+
Washington,2022-10-06,6:00:00 AM,0,1004.7,11.1,3,92.3
|
1101 |
+
Washington,2022-10-06,12:00:00 PM,0,1006.1,10,4,96.1
|
1102 |
+
Washington,2022-10-06,6:00:00 PM,0,1005.1,24.4,0,32.4
|
1103 |
+
Washington,2022-10-07,12:00:00 AM,0,1004.7,16.1,3,61
|
1104 |
+
Washington,2022-10-07,6:00:00 AM,0,1005.4,10.6,0,66.4
|
1105 |
+
Washington,2022-10-07,12:00:00 PM,0,1006.4,10,7,70.9
|
1106 |
+
Washington,2022-10-07,6:00:00 PM,0,1005.1,26.1,11,46.9
|
1107 |
+
Washington,2022-10-08,12:00:00 AM,0,1006.4,19.4,8,62.8
|
1108 |
+
Washington,2022-10-08,6:00:00 AM,0,1011.1,12.8,6,85.5
|
1109 |
+
Washington,2022-10-08,12:00:00 PM,0,1013.1,9.4,9,89.2
|
1110 |
+
Washington,2022-10-08,6:00:00 PM,0,1013.1,13.3,5,33.7
|
1111 |
+
Washington,2022-10-09,12:00:00 AM,0,1012.4,8.9,0,70.8
|
1112 |
+
Washington,2022-10-09,6:00:00 AM,0,1013.4,3.9,4,92.5
|
1113 |
+
Washington,2022-10-09,12:00:00 PM,0,1013.4,3.3,5,92.5
|
1114 |
+
Washington,2022-10-09,6:00:00 PM,0,1011.8,17.2,0,29.4
|
1115 |
+
Washington,2022-10-10,12:00:00 AM,0,1010.8,8.9,0,71.3
|
1116 |
+
Washington,2022-10-10,6:00:00 AM,0,1012.1,3.9,0,88.9
|
1117 |
+
Washington,2022-10-10,12:00:00 PM,0,1013.4,2.8,4,85.1
|
1118 |
+
Washington,2022-10-10,6:00:00 PM,0,1013.1,19.4,3,31.4
|
1119 |
+
Washington,2022-10-11,12:00:00 AM,0,1013.1,11.1,0,53.6
|
1120 |
+
Washington,2022-10-11,6:00:00 AM,0,1015.1,6.7,0,89.6
|
1121 |
+
Washington,2022-10-11,12:00:00 PM,0,1016.8,5.6,3,92.8
|
1122 |
+
Washington,2022-10-11,6:00:00 PM,0,1015.8,22.8,5,46
|
1123 |
+
Washington,2022-10-12,12:00:00 AM,0,1014.1,16.1,3,61
|
1124 |
+
Washington,2022-10-12,6:00:00 AM,0,1014.1,8.3,0,72.5
|
1125 |
+
Washington,2022-10-12,12:00:00 PM,0,1012.8,8.9,11,93.2
|
1126 |
+
Washington,2022-10-12,6:00:00 PM,0,1009.1,22.8,8,84
|
1127 |
+
Washington,2022-10-13,12:00:00 AM,0,1006.4,19.4,10,69.7
|
1128 |
+
Washington,2022-10-13,6:00:00 AM,0,1002.7,17.8,13,93
|
1129 |
+
Washington,2022-10-13,12:00:00 PM,9,998.3,16.7,9,96.1
|
1130 |
+
Washington,2022-10-13,6:00:00 PM,2,995.7,20.6,10,38.9
|
1131 |
+
Washington,2022-10-14,12:00:00 AM,0,996.7,17.8,6,52.7
|
1132 |
+
Washington,2022-10-14,6:00:00 AM,5,999.7,12.2,0,92.7
|
1133 |
+
Washington,2022-10-14,12:00:00 PM,0,1001.7,10.6,8,32.9
|
1134 |
+
Washington,2022-10-14,6:00:00 PM,0,1002.4,20,4,55.8
|
1135 |
+
Washington,2022-10-15,12:00:00 AM,0,1003.4,13.9,4,89.7
|
1136 |
+
Washington,2022-10-15,6:00:00 AM,0,1005.7,6.7,17,79.9
|
1137 |
+
Washington,2022-10-15,6:00:00 PM,0,1002.4,23.3,5,36.3
|
1138 |
+
Washington,2022-10-16,12:00:00 AM,0,1002.7,17.2,0,60.2
|
1139 |
+
Washington,2022-10-16,6:00:00 AM,0,1004.4,9.4,0,86.6
|
1140 |
+
Washington,2022-10-16,12:00:00 PM,0,1005.4,10,3,89.5
|
1141 |
+
Washington,2022-10-16,6:00:00 PM,0,1003,21.7,6,50.9
|
1142 |
+
Washington,2022-10-17,12:00:00 AM,0,1000,17.8,9,49.1
|
1143 |
+
Washington,2022-10-17,6:00:00 AM,0,998,14.4,10,40.6
|
1144 |
+
Washington,2022-10-17,12:00:00 PM,0,996,13.9,13,75.3
|
1145 |
+
Washington,2022-10-17,6:00:00 PM,0,992,21.7,10,38
|
1146 |
+
Washington,2022-10-18,12:00:00 AM,0,993,15,8,51.2
|
1147 |
+
Washington,2022-10-18,6:00:00 AM,0,995,9.4,3,78.8
|
1148 |
+
Washington,2022-10-18,12:00:00 PM,0,995.7,1.7,14,75.7
|
1149 |
+
Washington,2022-10-18,6:00:00 PM,0,996,12.2,9,34.1
|
1150 |
+
Washington,2022-10-19,12:00:00 AM,0,999,7.2,0,49.5
|
1151 |
+
Washington,2022-10-19,6:00:00 AM,0,999.7,2.2,6,79
|
1152 |
+
Washington,2022-10-19,12:00:00 PM,0,1000,3.9,14,88.4
|
1153 |
+
Washington,2022-10-19,6:00:00 PM,0,1000.4,13.3,7,24.9
|
1154 |
+
Washington,2022-10-20,12:00:00 AM,0,1003.4,8.9,7,39.4
|
1155 |
+
Washington,2022-10-20,6:00:00 AM,0,1005.4,3.9,6,70.2
|
1156 |
+
Washington,2022-10-20,12:00:00 PM,0,1006.1,1.1,9,88.4
|
1157 |
+
Washington,2022-10-20,6:00:00 PM,0,1003.7,15.6,5,22.8
|
1158 |
+
Washington,2022-10-21,12:00:00 AM,0,1003.4,11.1,0,44.4
|
1159 |
+
Washington,2022-10-21,6:00:00 AM,0,1006.4,5.6,0,85.7
|
1160 |
+
Washington,2022-10-21,12:00:00 PM,0,1009.1,0.6,6,92.4
|
1161 |
+
Washington,2022-10-21,6:00:00 PM,0,1009.1,18.9,6,29.5
|
1162 |
+
Washington,2022-10-22,12:00:00 AM,0,1008.7,11.7,0,56.6
|
1163 |
+
Washington,2022-10-22,6:00:00 AM,0,1011.1,5,0,85.1
|
1164 |
+
Washington,2022-10-22,12:00:00 PM,0,1012.4,1.7,4,85.2
|
1165 |
+
Washington,2022-10-22,6:00:00 PM,0,1012.1,20.6,4,67.3
|
1166 |
+
Washington,2022-10-23,12:00:00 AM,0,1012.4,12.8,4,62
|
1167 |
+
Washington,2022-10-23,6:00:00 AM,0,1012.8,5.6,6,89.5
|
1168 |
+
Washington,2022-10-23,12:00:00 PM,0,1012.8,6.7,9,86.6
|
1169 |
+
Washington,2022-10-23,6:00:00 PM,0,1012.1,17.2,12,65.6
|
1170 |
+
Washington,2022-10-24,12:00:00 AM,0,1011.4,16.7,8,80.8
|
1171 |
+
Washington,2022-10-24,6:00:00 AM,0,1010.8,13.9,10,89.6
|
1172 |
+
Washington,2022-10-24,12:00:00 PM,0,1010.4,14.4,4,89.6
|
1173 |
+
Washington,2022-10-24,6:00:00 PM,0,1009.1,19.4,4,77.9
|
1174 |
+
Washington,2022-10-25,12:00:00 AM,0,1009.1,16.1,0,83.5
|
1175 |
+
Washington,2022-10-25,6:00:00 AM,0,1008.1,15,0,90.1
|
1176 |
+
Washington,2022-10-25,12:00:00 PM,0,1008.1,15,4,93.1
|
1177 |
+
Washington,2022-10-25,6:00:00 PM,0,1006.4,17.8,4,77.9
|
1178 |
+
Washington,2022-10-26,12:00:00 AM,0,1004.4,16.1,3,69.7
|
1179 |
+
Washington,2022-10-26,6:00:00 AM,0,1002.4,14.4,0,64
|
1180 |
+
Washington,2022-10-26,12:00:00 PM,0,1000.4,13.9,9,66.2
|
1181 |
+
Washington,2022-10-26,6:00:00 PM,1,997.7,17.8,5,40.7
|
1182 |
+
Washington,2022-10-27,12:00:00 AM,0,1000,17.8,6,41.7
|
1183 |
+
Washington,2022-10-27,6:00:00 AM,0,1004.1,13.9,8,51.8
|
1184 |
+
Washington,2022-10-27,12:00:00 PM,0,1009.1,11.7,12,65
|
1185 |
+
Washington,2022-10-27,6:00:00 PM,0,1011.4,16.7,10,53.2
|
1186 |
+
Washington,2022-10-28,12:00:00 AM,0,1014.1,13.9,7,73.7
|
1187 |
+
Washington,2022-10-28,6:00:00 AM,0,1017.5,9.4,8,85.8
|
1188 |
+
Washington,2022-10-28,12:00:00 PM,0,1019.8,6.7,8,88.7
|
1189 |
+
Washington,2022-10-28,6:00:00 PM,0,1019.5,14.4,4,44
|
1190 |
+
Washington,2022-10-29,12:00:00 AM,0,1019.8,10.6,3,65.5
|
1191 |
+
Washington,2022-10-29,6:00:00 AM,0,1020.2,6.1,4,89.1
|
1192 |
+
Washington,2022-10-29,12:00:00 PM,0,1020.2,5,4,92.3
|
1193 |
+
Washington,2022-10-29,6:00:00 PM,0,1018.8,16.7,4,49.5
|
1194 |
+
Washington,2022-10-30,12:00:00 AM,0,1017.5,8.9,0,69.1
|
1195 |
+
Washington,2022-10-30,6:00:00 AM,0,1015.5,2.2,0,85.7
|
1196 |
+
Washington,2022-10-30,12:00:00 PM,0,1014.5,0,0,92.8
|
1197 |
+
Washington,2022-10-30,6:00:00 PM,0,1011.1,16.7,0,67.7
|
1198 |
+
Washington,2022-10-31,12:00:00 AM,0,1009.8,12.2,0,96.2
|
1199 |
+
Washington,2022-10-31,6:00:00 AM,0,1007.7,10.6,12,89.6
|
1200 |
+
Washington,2022-10-31,12:00:00 PM,0,1007.4,9.4,4,49.8
|
1201 |
+
Washington,2022-10-31,6:00:00 PM,0,1005.1,18.9,4,62.6
|
1202 |
+
Washington,2022-11-01,12:00:00 AM,5,1005.1,15,3,80.5
|
1203 |
+
Washington,2022-11-01,6:00:00 AM,0,1004.4,15.6,10,86.4
|
1204 |
+
Washington,2022-11-01,12:00:00 PM,0,1006.1,12.8,6,47
|
1205 |
+
Washington,2022-11-01,6:00:00 PM,0,1006.7,23.9,3,71.8
|
1206 |
+
Washington,2022-11-02,12:00:00 AM,0,1009.8,17.2,4,89.2
|
1207 |
+
Washington,2022-11-02,6:00:00 AM,0,1012.1,13.9,8,92.7
|
1208 |
+
Washington,2022-11-02,12:00:00 PM,0,1015.1,12.2,3,46.8
|
1209 |
+
Washington,2022-11-02,6:00:00 PM,0,1015.1,20.6,0,77
|
1210 |
+
Washington,2022-11-03,12:00:00 AM,0,1015.5,13.9,0,92.8
|
1211 |
+
Washington,2022-11-03,6:00:00 AM,0,1016.1,10,5,96.6
|
1212 |
+
Washington,2022-11-03,12:00:00 PM,0,1016.5,7.8,3,49.7
|
1213 |
+
Washington,2022-11-03,6:00:00 PM,0,1016.5,20,0,67.7
|
1214 |
+
Washington,2022-11-04,12:00:00 AM,0,1016.1,11.7,0,83.8
|
1215 |
+
Washington,2022-11-04,6:00:00 AM,0,1015.8,8.3,0,90.4
|
1216 |
+
Washington,2022-11-04,12:00:00 PM,0,1016.5,7.2,6,52.4
|
1217 |
+
Washington,2022-11-04,6:00:00 PM,0,1015.1,23.3,6,68.4
|
1218 |
+
Washington,2022-11-05,12:00:00 AM,0,1013.8,18.9,8,78.3
|
1219 |
+
Washington,2022-11-05,6:00:00 AM,0,1012.1,18.9,11,93.3
|
1220 |
+
Washington,2022-11-05,12:00:00 PM,0,1011.1,18.3,9,73.6
|
1221 |
+
Washington,2022-11-05,6:00:00 PM,0,1009.4,26.1,9,90
|
1222 |
+
Washington,2022-11-06,12:00:00 AM,0,1008.1,22.2,6,93.4
|
1223 |
+
Washington,2022-11-06,6:00:00 AM,0,1008.7,20.6,12,96.9
|
1224 |
+
Washington,2022-11-06,12:00:00 PM,1,1010.1,18.9,5,27.7
|
1225 |
+
Washington,2022-11-06,6:00:00 PM,0,1010.1,23.9,7,39.9
|
1226 |
+
Washington,2022-11-07,12:00:00 AM,7,1010.1,21.1,3,25.7
|
1227 |
+
Washington,2022-11-07,6:00:00 AM,0,1010.4,20,11,51.5
|
1228 |
+
Washington,2022-11-07,12:00:00 PM,0,1012.8,18.3,3,37.3
|
1229 |
+
Washington,2022-11-07,6:00:00 PM,0,1013.4,25.6,10,42.5
|
1230 |
+
Washington,2022-11-08,12:00:00 AM,0,1014.8,18.9,14,49.3
|
1231 |
+
Washington,2022-11-08,6:00:00 AM,0,1018.8,14.4,9,75.3
|
1232 |
+
Washington,2022-11-08,12:00:00 PM,0,1023.5,8.3,8,35.8
|
1233 |
+
Washington,2022-11-08,6:00:00 PM,0,1023.2,14.4,7,63.4
|
1234 |
+
Washington,2022-11-09,12:00:00 AM,0,1023.9,11.7,3,85.6
|
1235 |
+
Washington,2022-11-09,6:00:00 AM,0,1024.2,8.3,7,85.8
|
1236 |
+
Washington,2022-11-09,12:00:00 PM,0,1025.9,1.7,5,54
|
1237 |
+
Washington,2022-11-09,6:00:00 PM,0,1024.2,15,0,72.2
|
1238 |
+
Washington,2022-11-10,12:00:00 AM,0,1021.8,9.4,0,77.7
|
1239 |
+
Washington,2022-11-10,6:00:00 AM,0,1020.2,4.4,4,93.2
|
1240 |
+
Washington,2022-11-10,12:00:00 PM,0,1018.8,6.1,0,93.5
|
1241 |
+
Washington,2022-11-10,6:00:00 PM,0,1015.1,18.9,0,87.4
|
1242 |
+
Washington,2022-11-11,12:00:00 AM,0,1012.1,16.1,4,90
|
1243 |
+
Washington,2022-11-11,6:00:00 AM,0,1009.1,16.1,10,72.4
|
1244 |
+
Washington,2022-11-11,12:00:00 PM,2,1004.4,16.1,14,52.7
|
1245 |
+
Washington,2022-11-11,6:00:00 PM,15,997,21.7,14,67.5
|
1246 |
+
Washington,2022-11-12,12:00:00 AM,0,990.6,22.8,8,58
|
1247 |
+
Washington,2022-11-12,6:00:00 AM,4,986.9,20.6,3,57.5
|
1248 |
+
Washington,2022-11-12,12:00:00 PM,1,995.7,17.2,4,45.3
|
1249 |
+
Washington,2022-11-12,6:00:00 PM,0,995.3,20.6,15,44.8
|
1250 |
+
Washington,2022-11-13,12:00:00 AM,0,995.7,17.8,16,54.8
|
1251 |
+
Washington,2022-11-13,6:00:00 AM,0,1001,8.9,19,74.7
|
1252 |
+
Washington,2022-11-13,12:00:00 PM,0,1004.7,6.7,12,38.8
|
1253 |
+
Washington,2022-11-13,6:00:00 PM,0,1007.1,7.8,6,61.3
|
1254 |
+
Washington,2022-11-14,12:00:00 AM,0,1011.1,6.1,0,78.3
|
1255 |
+
Washington,2022-11-14,6:00:00 AM,0,1013.4,4.4,9,81.2
|
1256 |
+
Washington,2022-11-14,12:00:00 PM,0,1016.8,-1.7,4,79
|
1257 |
+
Washington,2022-11-14,6:00:00 PM,0,1016.8,9.4,4,89.2
|
1258 |
+
Washington,2022-11-15,12:00:00 AM,0,1017.1,2.8,0,92.5
|
1259 |
+
Washington,2022-11-15,6:00:00 AM,0,1018.1,-0.6,3,92.5
|
1260 |
+
Washington,2022-11-15,12:00:00 PM,0,1018.8,-1.1,13,58
|
1261 |
+
Washington,2022-11-15,6:00:00 PM,1,1015.5,3.9,8,55.2
|
1262 |
+
Washington,2022-11-16,12:00:00 AM,13,1010.1,3.3,0,59.1
|
1263 |
+
Washington,2022-11-16,6:00:00 AM,17,1005.4,3.9,13,45.7
|
1264 |
+
Washington,2022-11-16,12:00:00 PM,0,1005.7,2.8,13,42.8
|
1265 |
+
Washington,2022-11-16,6:00:00 PM,0,1006.1,8.9,5,50.1
|
1266 |
+
Washington,2022-11-17,12:00:00 AM,0,1006.7,6.1,10,71.9
|
1267 |
+
Washington,2022-11-17,6:00:00 AM,0,1005.7,2.8,21,71.2
|
1268 |
+
Washington,2022-11-17,12:00:00 PM,0,1006.7,2.2,10,41.1
|
1269 |
+
Washington,2022-11-17,6:00:00 PM,0,1008.7,6.1,3,55.8
|
1270 |
+
Washington,2022-11-18,12:00:00 AM,0,1010.4,3.3,5,68.5
|
1271 |
+
Washington,2022-11-18,6:00:00 AM,0,1010.4,-1.7,6,34.8
|
1272 |
+
Washington,2022-11-18,12:00:00 PM,0,1012.1,-2.2,7,55.8
|
1273 |
+
Washington,2022-11-19,12:00:00 AM,0,1010.4,6.7,0,68.4
|
1274 |
+
Washington,2022-11-19,6:00:00 AM,0,1013.1,0.6,10,46.7
|
1275 |
+
Washington,2022-11-19,12:00:00 PM,0,1014.5,-2.2,4,24.4
|
1276 |
+
Washington,2022-11-19,6:00:00 PM,0,1011.1,6.1,5,27.4
|
1277 |
+
Washington,2022-11-20,12:00:00 AM,0,1007.4,0.6,12,45.7
|
1278 |
+
Washington,2022-11-20,6:00:00 AM,0,1006.7,-2.8,14,59.6
|
1279 |
+
Washington,2022-11-20,12:00:00 PM,0,1011.8,-0.6,8,23.6
|
1280 |
+
Washington,2022-11-20,6:00:00 PM,0,1013.8,2.8,0,35.8
|
1281 |
+
Washington,2022-11-21,12:00:00 AM,0,1017.1,0.6,3,53.6
|
1282 |
+
Washington,2022-11-21,6:00:00 AM,0,1019.5,-3.9,10,74.2
|
1283 |
+
Washington,2022-11-21,12:00:00 PM,0,1021.5,-5.6,4,18.9
|
1284 |
+
Washington,2022-11-21,6:00:00 PM,0,1017.5,7.8,0,30.9
|
1285 |
+
Washington,2022-11-22,12:00:00 AM,0,1014.8,5,0,68.6
|
1286 |
+
Washington,2022-11-22,6:00:00 AM,0,1016.5,0,9,77.8
|
1287 |
+
Washington,2022-11-22,12:00:00 PM,0,1017.8,-4.4,4,23
|
1288 |
+
Washington,2022-11-22,6:00:00 PM,0,1015.1,13.9,3,45.3
|
1289 |
+
Washington,2022-11-23,12:00:00 AM,0,1013.4,7.8,0,78.2
|
1290 |
+
Washington,2022-11-23,6:00:00 AM,0,1012.1,-1.7,5,84.8
|
1291 |
+
Washington,2022-11-23,12:00:00 PM,0,1013.4,-3.9,3,31.6
|
1292 |
+
Washington,2022-11-23,6:00:00 PM,0,1013.4,16.1,0,45.8
|
1293 |
+
Washington,2022-11-24,12:00:00 AM,0,1014.1,7.8,0,73.6
|
1294 |
+
Washington,2022-11-24,6:00:00 AM,0,1016.1,-1.1,8,85.9
|
1295 |
+
Washington,2022-11-24,12:00:00 PM,0,1016.8,-2.2,5,55.4
|
1296 |
+
Washington,2022-11-24,6:00:00 PM,0,1015.5,15,4,47.6
|
1297 |
+
Washington,2022-11-25,12:00:00 AM,0,1013.1,9.4,4,69.7
|
1298 |
+
Washington,2022-11-25,6:00:00 AM,0,1009.4,7.2,17,81.9
|
1299 |
+
Washington,2022-11-25,12:00:00 PM,2,1004.4,7.2,9,31.6
|
1300 |
+
Washington,2022-11-25,6:00:00 PM,1,1001,15.6,0,59.3
|
1301 |
+
Washington,2022-11-26,12:00:00 AM,0,1004.7,10,3,55.3
|
1302 |
+
Washington,2022-11-26,6:00:00 AM,0,1008.1,3.3,3,70.5
|
1303 |
+
Washington,2022-11-26,12:00:00 PM,0,1009.8,-0.6,3,96
|
1304 |
+
Washington,2022-11-26,6:00:00 PM,0,1008.1,15,5,96.1
|
1305 |
+
Washington,2022-11-27,12:00:00 AM,0,1007.4,5.6,4,92.8
|
1306 |
+
Washington,2022-11-27,6:00:00 AM,0,1003.7,7.8,3,69.1
|
1307 |
+
Washington,2022-11-27,12:00:00 PM,0,1000.4,7.2,3,52.3
|
1308 |
+
Washington,2022-11-27,6:00:00 PM,2,991.6,8.9,0,60.6
|
1309 |
+
Washington,2022-11-28,12:00:00 AM,1,987.6,11.7,19,81.5
|
1310 |
+
Washington,2022-11-28,6:00:00 AM,0,990,9.4,13,88.6
|
1311 |
+
Washington,2022-11-28,12:00:00 PM,0,994.3,12.2,8,53.9
|
1312 |
+
Washington,2022-11-28,6:00:00 PM,0,1000.4,11.1,0,67.7
|
1313 |
+
Washington,2022-11-29,12:00:00 AM,0,1005.7,8.9,0,73.6
|
1314 |
+
Washington,2022-11-29,6:00:00 AM,0,1009.4,1.1,9,92.8
|
1315 |
+
Washington,2022-11-29,12:00:00 PM,0,1012.4,2.8,4,89.4
|
1316 |
+
Washington,2022-11-29,6:00:00 PM,0,1012.8,10,5,32.5
|
1317 |
+
Washington,2022-11-30,12:00:00 AM,0,1012.1,7.8,8,42.3
|
1318 |
+
Washington,2022-11-30,6:00:00 AM,0,1008.7,7.2,18,49.5
|
1319 |
+
Washington,2022-11-30,12:00:00 PM,4,1004.1,8.3,11,34.7
|
1320 |
+
Washington,2022-11-30,6:00:00 PM,3,996.3,12.8,4,40.3
|
1321 |
+
Washington,2022-12-01,12:00:00 AM,0,1004.4,8.9,16,71.7
|
1322 |
+
Washington,2022-12-01,6:00:00 AM,0,1007.7,3.3,11,84.4
|
1323 |
+
Washington,2022-12-01,12:00:00 PM,0,1015.1,1.1,5,31.6
|
1324 |
+
Washington,2022-12-01,6:00:00 PM,0,1019.5,6.7,0,41.1
|
1325 |
+
Washington,2022-12-02,12:00:00 AM,0,1020.5,3.3,0,47.8
|
1326 |
+
Washington,2022-12-02,6:00:00 AM,0,1022.2,-2.8,9,89.2
|
1327 |
+
Washington,2022-12-02,12:00:00 PM,0,1022.8,-5.6,6,75.1
|
1328 |
+
Washington,2022-12-02,6:00:00 PM,0,1019.5,10,14,45.1
|
1329 |
+
Washington,2022-12-03,12:00:00 AM,0,1018.1,6.7,10,54.9
|
1330 |
+
Washington,2022-12-03,6:00:00 AM,0,1014.8,9.4,16,69.2
|
1331 |
+
Washington,2022-12-03,12:00:00 PM,4,1011.1,10,15,41.2
|
1332 |
+
Washington,2022-12-03,6:00:00 PM,4,1006.1,16.1,0,60.8
|
1333 |
+
Washington,2022-12-04,12:00:00 AM,0,1009.4,13.9,8,80.8
|
1334 |
+
Washington,2022-12-04,6:00:00 AM,0,1012.8,5,8,88.5
|
1335 |
+
Washington,2022-12-04,12:00:00 PM,0,1014.1,1.1,4,47.3
|
1336 |
+
Washington,2022-12-04,6:00:00 PM,0,1012.4,6.1,0,54.9
|
1337 |
+
Washington,2022-12-05,12:00:00 AM,0,1011.4,0.6,0,85
|
1338 |
+
Washington,2022-12-05,6:00:00 AM,0,1011.4,-3.9,8,82.1
|
1339 |
+
Washington,2022-12-05,12:00:00 PM,0,1012.4,-5.6,6,89.6
|
1340 |
+
Washington,2022-12-05,6:00:00 PM,0,1012.1,8.9,0,89.1
|
1341 |
+
Washington,2022-12-06,12:00:00 AM,0,1012.1,5,3,92.9
|
1342 |
+
Washington,2022-12-06,6:00:00 AM,0,1012.4,-0.6,5,92.3
|
1343 |
+
Washington,2022-12-06,12:00:00 PM,0,1012.4,5,8,89.9
|
1344 |
+
Washington,2022-12-06,6:00:00 PM,1,1011.4,8.3,4,93
|
1345 |
+
Washington,2022-12-07,12:00:00 AM,0,1011.4,8.9,3,96
|
1346 |
+
Washington,2022-12-07,6:00:00 AM,0,1010.8,10,3,76.7
|
1347 |
+
Washington,2022-12-07,12:00:00 PM,0,1010.1,10.6,0,50.7
|
1348 |
+
Washington,2022-12-07,6:00:00 PM,1,1009.8,12.2,3,56.6
|
1349 |
+
Washington,2022-12-08,12:00:00 AM,0,1009.8,12.2,5,62.5
|
1350 |
+
Washington,2022-12-08,6:00:00 AM,0,1011.8,8.9,10,67.2
|
1351 |
+
Washington,2022-12-08,12:00:00 PM,0,1013.8,10,7,44.1
|
1352 |
+
Washington,2022-12-08,6:00:00 PM,0,1013.8,13.3,7,54.7
|
1353 |
+
Washington,2022-12-09,12:00:00 AM,0,1013.1,11.1,6,78.2
|
1354 |
+
Washington,2022-12-09,6:00:00 AM,0,1013.4,7.8,5,75.3
|
1355 |
+
Washington,2022-12-09,12:00:00 PM,0,1014.8,3.3,6,50.6
|
1356 |
+
Washington,2022-12-09,6:00:00 PM,0,1013.8,9.4,4,61.9
|
1357 |
+
Washington,2022-12-10,12:00:00 AM,0,1013.4,5.6,0,75.9
|
1358 |
+
Washington,2022-12-10,6:00:00 AM,0,1014.5,-1.1,3,85.7
|
1359 |
+
Washington,2022-12-10,12:00:00 PM,0,1015.8,1.7,0,79.5
|
1360 |
+
Washington,2022-12-10,6:00:00 PM,0,1015.8,5,5,79.4
|
1361 |
+
Washington,2022-12-11,12:00:00 AM,0,1014.8,5,4,79.1
|
1362 |
+
Washington,2022-12-11,6:00:00 AM,0,1013.4,5,6,52.5
|
1363 |
+
Washington,2022-12-11,12:00:00 PM,0,1012.4,5,4,54.9
|
1364 |
+
Washington,2022-12-11,6:00:00 PM,0,1008.4,7.2,5,57.3
|
1365 |
+
Washington,2022-12-12,12:00:00 AM,0,1008.1,6.1,11,67.2
|
1366 |
+
Washington,2022-12-12,6:00:00 AM,0,1008.1,4.4,12,68.9
|
1367 |
+
Washington,2022-12-12,12:00:00 PM,0,1010.4,5,5,46.2
|
1368 |
+
Washington,2022-12-12,6:00:00 PM,0,1011.8,5,6,49.3
|
1369 |
+
Washington,2022-12-13,12:00:00 AM,0,1013.8,4.4,6,81.2
|
1370 |
+
Washington,2022-12-13,6:00:00 AM,0,1014.5,3.3,5,84.4
|
1371 |
+
Washington,2022-12-13,12:00:00 PM,0,1015.8,-0.6,3,39.1
|
1372 |
+
Washington,2022-12-13,6:00:00 PM,0,1014.8,5,0,47.8
|
1373 |
+
Washington,2022-12-14,12:00:00 AM,0,1014.1,1.7,0,61.3
|
1374 |
+
Washington,2022-12-14,6:00:00 AM,0,1011.8,-5.6,8,91.6
|
1375 |
+
Washington,2022-12-14,12:00:00 PM,0,1012.1,-5.6,6,92.4
|
1376 |
+
Washington,2022-12-14,6:00:00 PM,0,1010.8,4.4,3,92.5
|
1377 |
+
Washington,2022-12-15,12:00:00 AM,0,1010.4,3.3,4,92.5
|
1378 |
+
Washington,2022-12-15,6:00:00 AM,0,1010.1,2.8,7,89.2
|
1379 |
+
Washington,2022-12-15,12:00:00 PM,10,1009.8,0.6,11,52
|
1380 |
+
Washington,2022-12-15,6:00:00 PM,17,1003,2.2,11,62.2
|
1381 |
+
Washington,2022-12-16,12:00:00 AM,18,996.7,3.3,4,75.3
|
1382 |
+
Washington,2022-12-16,6:00:00 AM,4,994.7,3.3,18,63.9
|
1383 |
+
Washington,2022-12-16,12:00:00 PM,1,996.3,3.3,5,39.7
|
1384 |
+
Washington,2022-12-16,6:00:00 PM,0,995.3,10,3,48.3
|
1385 |
+
Washington,2022-12-17,12:00:00 AM,0,997.7,4.4,4,59.2
|
1386 |
+
Washington,2022-12-17,6:00:00 AM,0,997,1.7,8,58.9
|
1387 |
+
Washington,2022-12-17,12:00:00 PM,0,999.4,1.7,5,40.9
|
1388 |
+
Washington,2022-12-17,6:00:00 PM,0,998,7.2,4,49.5
|
1389 |
+
Washington,2022-12-18,12:00:00 AM,0,1000,5,6,60.7
|
1390 |
+
Washington,2022-12-18,6:00:00 AM,0,1001.4,3.3,14,62.9
|
1391 |
+
Washington,2022-12-18,12:00:00 PM,0,1003.4,2.2,9,40.9
|
1392 |
+
Washington,2022-12-18,6:00:00 PM,0,1004.7,5,4,53.9
|
1393 |
+
Washington,2022-12-19,12:00:00 AM,0,1010.8,1.1,3,60.7
|
1394 |
+
Washington,2022-12-19,6:00:00 AM,0,1012.4,-1.7,11,71.4
|
1395 |
+
Washington,2022-12-19,12:00:00 PM,0,1015.1,-2.2,12,47.8
|
1396 |
+
Washington,2022-12-19,6:00:00 PM,0,1015.5,5,9,56
|
1397 |
+
Washington,2022-12-20,12:00:00 AM,0,1018.5,1.1,4,80.7
|
1398 |
+
Washington,2022-12-20,6:00:00 AM,0,1019.8,-1.7,4,84.3
|
1399 |
+
Washington,2022-12-20,12:00:00 PM,0,1020.8,-3.9,4,44.8
|
1400 |
+
Washington,2022-12-20,6:00:00 PM,0,1019.8,3.3,0,65.9
|
1401 |
+
Washington,2022-12-21,12:00:00 AM,0,1019.8,1.1,0,78.1
|
1402 |
+
Washington,2022-12-21,6:00:00 AM,0,1020.2,-5,3,78.8
|
1403 |
+
Washington,2022-12-21,12:00:00 PM,0,1020.8,-6.7,3,88.6
|
1404 |
+
Washington,2022-12-21,6:00:00 PM,0,1020.5,6.1,0,96.1
|
1405 |
+
Washington,2022-12-22,12:00:00 AM,0,1019.2,0,6,92.6
|
1406 |
+
Washington,2022-12-22,6:00:00 AM,0,1018.8,-1.7,10,92.7
|
1407 |
+
Washington,2022-12-22,12:00:00 PM,0,1014.1,2.2,10,41.2
|
1408 |
+
Washington,2022-12-22,6:00:00 PM,11,1006.4,3.9,9,39.8
|
1409 |
+
Washington,2022-12-23,12:00:00 AM,21,995.3,10.6,11,45
|
1410 |
+
Washington,2022-12-23,6:00:00 AM,22,986.6,5,19,51.7
|
1411 |
+
Washington,2022-12-23,12:00:00 PM,1,978.9,6.7,15,38.8
|
1412 |
+
Washington,2022-12-23,6:00:00 PM,4,987.6,-4.4,8,51
|
1413 |
+
Washington,2022-12-24,12:00:00 AM,0,995,-10,6,79.6
|
1414 |
+
Washington,2022-12-24,6:00:00 AM,0,999,-12.2,6,76.3
|
1415 |
+
Washington,2022-12-24,12:00:00 PM,0,1002,-13.9,4,40.7
|
1416 |
+
Washington,2022-12-24,6:00:00 PM,0,1002.4,-7.8,3,46.2
|
1417 |
+
Washington,2022-12-25,12:00:00 AM,0,1003.4,-8.9,0,73.3
|
1418 |
+
Washington,2022-12-25,6:00:00 AM,0,1003,-12.2,6,58.7
|
1419 |
+
Washington,2022-12-25,12:00:00 PM,0,1004.1,-12.8,6,42.8
|
1420 |
+
Washington,2022-12-25,6:00:00 PM,0,1004.1,-1.7,0,52.8
|
1421 |
+
Washington,2022-12-26,12:00:00 AM,0,1006.1,-2.2,7,65.8
|
1422 |
+
Washington,2022-12-26,6:00:00 AM,0,1009.8,-8.9,5,71.4
|
1423 |
+
Washington,2022-12-26,12:00:00 PM,0,1013.4,-7.2,3,33
|
1424 |
+
Washington,2022-12-26,6:00:00 PM,0,1013.4,-0.6,0,45.4
|
1425 |
+
Washington,2022-12-27,12:00:00 AM,0,1013.1,-2.8,0,74.1
|
1426 |
+
Washington,2022-12-27,6:00:00 AM,0,1013.1,-2.8,4,77.5
|
1427 |
+
Washington,2022-12-27,12:00:00 PM,0,1014.5,-3.9,5,40.3
|
1428 |
+
Washington,2022-12-27,6:00:00 PM,0,1014.1,5.6,0,66.7
|
1429 |
+
Washington,2022-12-28,12:00:00 AM,0,1014.8,1.1,0,61.3
|
1430 |
+
Washington,2022-12-28,6:00:00 AM,0,1014.1,-5,7,80.8
|
1431 |
+
Washington,2022-12-28,12:00:00 PM,0,1014.8,-5.6,3,39.2
|
1432 |
+
Washington,2022-12-28,6:00:00 PM,0,1014.8,8.3,4,55
|
1433 |
+
Washington,2022-12-29,12:00:00 AM,0,1015.1,1.1,0,81.4
|
1434 |
+
Washington,2022-12-29,6:00:00 AM,0,1013.8,2.8,3,84.9
|
1435 |
+
Washington,2022-12-29,12:00:00 PM,0,1015.1,-3.9,0,43.8
|
1436 |
+
Washington,2022-12-29,6:00:00 PM,0,1014.5,11.7,0,64
|
1437 |
+
Washington,2022-12-30,12:00:00 AM,0,1015.1,6.7,0,
|
1438 |
+
Washington,2022-12-30,6:00:00 AM,0,1014.8,0,9,
|
1439 |
+
Washington,2022-12-30,12:00:00 PM,0,1014.8,-1.7,5,
|
1440 |
+
Washington,2022-12-30,6:00:00 PM,0,1012.1,15,,
|
1441 |
+
Washington,2022-12-31,12:00:00 AM,0,1011.1,13.9,,
|
app.py
ADDED
@@ -0,0 +1,230 @@
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|
1 |
+
|
2 |
+
import gradio as gr
|
3 |
+
import pandas as pd
|
4 |
+
import matplotlib.pyplot as plt
|
5 |
+
|
6 |
+
# search weather data that is in csv file
|
7 |
+
def dataSearch(month, day, weather_elements, location, precipitation):
|
8 |
+
if location=='Seoul':
|
9 |
+
df = pd.read_csv('Seoul.csv')
|
10 |
+
elif location=='Washington':
|
11 |
+
df = pd.read_csv('Washington.csv')
|
12 |
+
if precipitation:
|
13 |
+
weather_elements.append('precipitation(mm)')
|
14 |
+
if day in ['1','2','3','4','5','6','7','8','9']:
|
15 |
+
today = '2022-'+month +'-0'+day
|
16 |
+
else:
|
17 |
+
today = '2022-'+month+'-'+day
|
18 |
+
|
19 |
+
df1 = df[df.date == today]
|
20 |
+
columns = ['location', 'date', 'time'] + weather_elements
|
21 |
+
df2 = df1.loc[:, columns]
|
22 |
+
|
23 |
+
return df2
|
24 |
+
|
25 |
+
# show weather data in plot using matplotlib
|
26 |
+
def showOutput(month, day, weather_elements, location, precipitation):
|
27 |
+
if month=='January':
|
28 |
+
month = '01'
|
29 |
+
elif month=='February':
|
30 |
+
month = '02'
|
31 |
+
elif month=='March':
|
32 |
+
month = '03'
|
33 |
+
elif month=='April':
|
34 |
+
month = '04'
|
35 |
+
elif month=='May':
|
36 |
+
month = '05'
|
37 |
+
elif month=='June':
|
38 |
+
month = '06'
|
39 |
+
elif month=='July':
|
40 |
+
month = '07'
|
41 |
+
elif month=='August':
|
42 |
+
month = '08'
|
43 |
+
elif month=='September':
|
44 |
+
month = '09'
|
45 |
+
elif month=='October':
|
46 |
+
month = '10'
|
47 |
+
elif month=='November':
|
48 |
+
month = '11'
|
49 |
+
elif month=='December':
|
50 |
+
month = '12'
|
51 |
+
|
52 |
+
weatherTable = dataSearch(month, day, weather_elements, location, precipitation)
|
53 |
+
|
54 |
+
if precipitation:
|
55 |
+
weather_elements.remove('precipitation(mm)')
|
56 |
+
|
57 |
+
if day in ['1','2','3','4','5','6','7','8','9']:
|
58 |
+
xname = '2022-'+month +'-0'+day
|
59 |
+
else:
|
60 |
+
xname = '2022-'+month+'-'+day
|
61 |
+
|
62 |
+
y_value=[0]*len(weather_elements)
|
63 |
+
|
64 |
+
x_value = weatherTable['time']
|
65 |
+
|
66 |
+
if 'humidity(%)' in weather_elements:
|
67 |
+
humidity_index = weather_elements.index('humidity(%)')
|
68 |
+
if weather_elements[humidity_index] != weather_elements[-1]:
|
69 |
+
temp = weather_elements[humidity_index]
|
70 |
+
weather_elements[humidity_index] = weather_elements[-1]
|
71 |
+
weather_elements[-1] = temp
|
72 |
+
for i in range(len(weather_elements)):
|
73 |
+
y_value[i] = weatherTable[weather_elements[i]]
|
74 |
+
|
75 |
+
|
76 |
+
if len(weather_elements) == 1:
|
77 |
+
weatherPlot = plt.figure(figsize=(10,10))
|
78 |
+
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
79 |
+
plt.xlabel(xname,labelpad=5, fontsize=15)
|
80 |
+
plt.ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
81 |
+
plt.xticks(size=10, rotation=45)
|
82 |
+
|
83 |
+
plt.bar(x_value, y_value[-1], color='skyblue', label=weather_elements[0])
|
84 |
+
plt.legend(loc = "upper left")
|
85 |
+
|
86 |
+
elif len(weather_elements) == 2:
|
87 |
+
weatherPlot, ax1 = plt.subplots(figsize=(10,10))
|
88 |
+
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
89 |
+
plt.xticks(size=10, rotation=45)
|
90 |
+
|
91 |
+
ax1.bar(x_value, y_value[-1], color='skyblue', label=weather_elements[1])
|
92 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
93 |
+
ax1.set_ylabel(weather_elements[1], labelpad=15, fontsize=15)
|
94 |
+
ax1.legend(loc='upper left')
|
95 |
+
|
96 |
+
ax1_sub = ax1.twinx()
|
97 |
+
ax1_sub.plot(x_value, y_value[0], color='red', marker = "o", label=weather_elements[0])
|
98 |
+
ax1_sub.set_ylabel(weather_elements[0], labelpad=25, fontsize=15, rotation=270)
|
99 |
+
ax1_sub.legend(loc='upper right')
|
100 |
+
|
101 |
+
elif len(weather_elements) == 3:
|
102 |
+
weatherPlot, (ax1, ax2) = plt.subplots(2, 1, figsize=(10,15), constrained_layout=True)
|
103 |
+
|
104 |
+
line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label=weather_elements[0])
|
105 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
106 |
+
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
107 |
+
ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
108 |
+
ax1.tick_params(axis='x', rotation=45, labelsize=10)
|
109 |
+
|
110 |
+
ax1_sub = ax1.twinx()
|
111 |
+
line2 = ax1_sub.plot(x_value, y_value[1], color='blue', marker = "o", label=weather_elements[1])
|
112 |
+
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
|
113 |
+
|
114 |
+
lines = line1 + line2
|
115 |
+
labels = [l.get_label() for l in lines]
|
116 |
+
ax1.legend(lines, labels, loc='upper left')
|
117 |
+
|
118 |
+
ax2.bar(x_value, y_value[-1], color='skyblue', label=weather_elements[-1])
|
119 |
+
ax2.set_xlabel(xname, labelpad=5, fontsize=15)
|
120 |
+
ax2.set_ylabel(weather_elements[-1], labelpad=15, fontsize=15)
|
121 |
+
ax2.tick_params(axis='x', rotation=45, labelsize=10)
|
122 |
+
ax2.legend(loc='upper right')
|
123 |
+
|
124 |
+
elif len(weather_elements) == 4:
|
125 |
+
weatherPlot, (ax1, ax2) = plt.subplots(2,1, figsize=(10,15), constrained_layout=True)
|
126 |
+
|
127 |
+
line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label=weather_elements[0])
|
128 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
129 |
+
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
130 |
+
ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
131 |
+
ax1.tick_params(axis='x', rotation=45, labelsize=10)
|
132 |
+
|
133 |
+
ax1_sub = ax1.twinx()
|
134 |
+
line2 = ax1_sub.plot(x_value, y_value[1], color='blue', marker = "o", label=weather_elements[1])
|
135 |
+
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
|
136 |
+
|
137 |
+
lines = line1 + line2
|
138 |
+
labels = [l.get_label() for l in lines]
|
139 |
+
ax1.legend(lines, labels, loc='upper left')
|
140 |
+
|
141 |
+
ax2.bar(x_value, y_value[-1], color='skyblue', label=weather_elements[-1])
|
142 |
+
ax2.set_xlabel(xname, labelpad=5, fontsize=15)
|
143 |
+
ax2.set_ylabel(weather_elements[-1], labelpad=15, fontsize=15)
|
144 |
+
ax2.tick_params(axis='x', rotation=45, labelsize=10)
|
145 |
+
ax2.legend(loc='upper left')
|
146 |
+
|
147 |
+
ax2_sub = ax2.twinx()
|
148 |
+
ax2_sub.plot(x_value, y_value[2], color='gray', marker = "o", label=weather_elements[2])
|
149 |
+
ax2_sub.set_ylabel(weather_elements[2], labelpad=25, fontsize=15, rotation=270)
|
150 |
+
ax2_sub.legend(loc='upper right')
|
151 |
+
|
152 |
+
|
153 |
+
else:
|
154 |
+
for i in range(len(weather_elements)):
|
155 |
+
y_value[i] = weatherTable[weather_elements[i]]
|
156 |
+
|
157 |
+
if len(weather_elements) == 1:
|
158 |
+
weatherPlot = plt.figure(figsize=(10,10))
|
159 |
+
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
160 |
+
plt.xlabel(xname,labelpad=5, fontsize=15)
|
161 |
+
plt.ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
162 |
+
plt.xticks(size=10, rotation=45)
|
163 |
+
plt.plot(x_value, y_value[0], color='red', marker='o', label=weather_elements[0])
|
164 |
+
plt.legend(loc = "upper left")
|
165 |
+
|
166 |
+
elif len(weather_elements) == 2:
|
167 |
+
weatherPlot, ax1 = plt.subplots(figsize=(10,10))
|
168 |
+
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
169 |
+
plt.xticks(size=10, rotation=45)
|
170 |
+
|
171 |
+
line1 = ax1.plot(x_value, y_value[0], color='red', marker='o', label=weather_elements[0])
|
172 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
173 |
+
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
174 |
+
|
175 |
+
ax1_sub = ax1.twinx()
|
176 |
+
line2 = ax1_sub.plot(x_value, y_value[1], color='skyblue', marker='o', label=weather_elements[1])
|
177 |
+
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
|
178 |
+
|
179 |
+
lines = line1 + line2
|
180 |
+
labels = [l.get_label() for l in lines]
|
181 |
+
ax1.legend(lines, labels, loc='upper left')
|
182 |
+
|
183 |
+
elif len(weather_elements) == 3:
|
184 |
+
weatherPlot, (ax1, ax2) = plt.subplots(2,1, figsize=(10,15), constrained_layout=True)
|
185 |
+
|
186 |
+
line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label=weather_elements[0])
|
187 |
+
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
|
188 |
+
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
|
189 |
+
ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
|
190 |
+
ax1.tick_params(axis='x', rotation=45, labelsize=10)
|
191 |
+
|
192 |
+
ax1_sub = ax1.twinx()
|
193 |
+
line2 = ax1_sub.plot(x_value, y_value[1], color='skyblue', marker = "o", label=weather_elements[1])
|
194 |
+
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
|
195 |
+
|
196 |
+
lines = line1 + line2
|
197 |
+
labels = [l.get_label() for l in lines]
|
198 |
+
ax1.legend(lines, labels, loc='upper left')
|
199 |
+
|
200 |
+
ax2.plot(x_value, y_value[2], color='gray', marker = "o", label=weather_elements[2])
|
201 |
+
ax2.set_xlabel(xname, labelpad=5, fontsize=15)
|
202 |
+
ax2.set_ylabel(weather_elements[2], labelpad=15, fontsize=15)
|
203 |
+
ax2.tick_params(axis='x', rotation=45, labelsize=10)
|
204 |
+
ax2.legend(loc='upper left')
|
205 |
+
|
206 |
+
return [weatherTable, weatherPlot]
|
207 |
+
|
208 |
+
output1 = gr.Dataframe()
|
209 |
+
output2 = gr.Plot()
|
210 |
+
|
211 |
+
# make gradio interface
|
212 |
+
demo = gr.Interface(
|
213 |
+
fn=showOutput,
|
214 |
+
inputs=[
|
215 |
+
gr.Dropdown(["January", "February", "March", "April", "May", "June",
|
216 |
+
"July", "August", "September", "October", "November", "December"],
|
217 |
+
label="Month", info="Select Months"),
|
218 |
+
gr.Dropdown(["1", "2", "3", "4", "5", "6", "7", "8", "9", "10",
|
219 |
+
"11", "12", "13", "14", "15", "16", "17", "18", "19", "20",
|
220 |
+
"21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31"], label="Day", info="Select Day"),
|
221 |
+
gr.CheckboxGroup(["temperature(˚C)", "wind(m/s)", "humidity(%)", "air_pressure(hPa)"],
|
222 |
+
label="Weather element", info="Choose weather element"),
|
223 |
+
gr.Radio(["Washington", "Seoul"],
|
224 |
+
label="Location", info="Choose location"),
|
225 |
+
gr.Checkbox(label="precipation?")],
|
226 |
+
outputs=[output1,output2]
|
227 |
+
)
|
228 |
+
|
229 |
+
if __name__=="__main__":
|
230 |
+
demo.launch()
|
readme_files/gradio.svg
ADDED
readme_files/screenshot.gif
ADDED