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import gradio as gr
import pandas as pd
import matplotlib.pyplot as plt
# search weather data that is in csv file
def dataSearch(month, day, weather_elements, location, precipitation):
if location=='Seoul':
df = pd.read_csv('Seoul.csv')
elif location=='Washington':
df = pd.read_csv('Washington.csv')
if precipitation:
weather_elements.append('precipitation(mm)')
if day in ['1','2','3','4','5','6','7','8','9']:
today = '2022-'+month +'-0'+day
else:
today = '2022-'+month+'-'+day
df1 = df[df.date == today]
columns = ['location', 'date', 'time'] + weather_elements
df2 = df1.loc[:, columns]
return df2
# show weather data in plot using matplotlib
def showOutput(month, day, weather_elements, location, precipitation):
if month=='January':
month = '01'
elif month=='February':
month = '02'
elif month=='March':
month = '03'
elif month=='April':
month = '04'
elif month=='May':
month = '05'
elif month=='June':
month = '06'
elif month=='July':
month = '07'
elif month=='August':
month = '08'
elif month=='September':
month = '09'
elif month=='October':
month = '10'
elif month=='November':
month = '11'
elif month=='December':
month = '12'
weatherTable = dataSearch(month, day, weather_elements, location, precipitation)
if precipitation:
weather_elements.remove('precipitation(mm)')
if day in ['1','2','3','4','5','6','7','8','9']:
xname = '2022-'+month +'-0'+day
else:
xname = '2022-'+month+'-'+day
y_value=[0]*len(weather_elements)
x_value = weatherTable['time']
if 'humidity(%)' in weather_elements:
humidity_index = weather_elements.index('humidity(%)')
if weather_elements[humidity_index] != weather_elements[-1]:
temp = weather_elements[humidity_index]
weather_elements[humidity_index] = weather_elements[-1]
weather_elements[-1] = temp
for i in range(len(weather_elements)):
y_value[i] = weatherTable[weather_elements[i]]
if len(weather_elements) == 1:
weatherPlot = plt.figure(figsize=(10,10))
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
plt.xlabel(xname,labelpad=5, fontsize=15)
plt.ylabel(weather_elements[0], labelpad=15, fontsize=15)
plt.xticks(size=10, rotation=45)
plt.bar(x_value, y_value[-1], color='skyblue', label=weather_elements[0])
plt.legend(loc = "upper left")
elif len(weather_elements) == 2:
weatherPlot, ax1 = plt.subplots(figsize=(10,10))
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
plt.xticks(size=10, rotation=45)
ax1.bar(x_value, y_value[-1], color='skyblue', label=weather_elements[1])
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
ax1.set_ylabel(weather_elements[1], labelpad=15, fontsize=15)
ax1.legend(loc='upper left')
ax1_sub = ax1.twinx()
ax1_sub.plot(x_value, y_value[0], color='red', marker = "o", label=weather_elements[0])
ax1_sub.set_ylabel(weather_elements[0], labelpad=25, fontsize=15, rotation=270)
ax1_sub.legend(loc='upper right')
elif len(weather_elements) == 3:
weatherPlot, (ax1, ax2) = plt.subplots(2, 1, figsize=(10,15), constrained_layout=True)
line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label=weather_elements[0])
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
ax1.tick_params(axis='x', rotation=45, labelsize=10)
ax1_sub = ax1.twinx()
line2 = ax1_sub.plot(x_value, y_value[1], color='blue', marker = "o", label=weather_elements[1])
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
lines = line1 + line2
labels = [l.get_label() for l in lines]
ax1.legend(lines, labels, loc='upper left')
ax2.bar(x_value, y_value[-1], color='skyblue', label=weather_elements[-1])
ax2.set_xlabel(xname, labelpad=5, fontsize=15)
ax2.set_ylabel(weather_elements[-1], labelpad=15, fontsize=15)
ax2.tick_params(axis='x', rotation=45, labelsize=10)
ax2.legend(loc='upper right')
elif len(weather_elements) == 4:
weatherPlot, (ax1, ax2) = plt.subplots(2,1, figsize=(10,15), constrained_layout=True)
line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label=weather_elements[0])
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
ax1.tick_params(axis='x', rotation=45, labelsize=10)
ax1_sub = ax1.twinx()
line2 = ax1_sub.plot(x_value, y_value[1], color='blue', marker = "o", label=weather_elements[1])
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
lines = line1 + line2
labels = [l.get_label() for l in lines]
ax1.legend(lines, labels, loc='upper left')
ax2.bar(x_value, y_value[-1], color='skyblue', label=weather_elements[-1])
ax2.set_xlabel(xname, labelpad=5, fontsize=15)
ax2.set_ylabel(weather_elements[-1], labelpad=15, fontsize=15)
ax2.tick_params(axis='x', rotation=45, labelsize=10)
ax2.legend(loc='upper left')
ax2_sub = ax2.twinx()
ax2_sub.plot(x_value, y_value[2], color='gray', marker = "o", label=weather_elements[2])
ax2_sub.set_ylabel(weather_elements[2], labelpad=25, fontsize=15, rotation=270)
ax2_sub.legend(loc='upper right')
else:
for i in range(len(weather_elements)):
y_value[i] = weatherTable[weather_elements[i]]
if len(weather_elements) == 1:
weatherPlot = plt.figure(figsize=(10,10))
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
plt.xlabel(xname,labelpad=5, fontsize=15)
plt.ylabel(weather_elements[0], labelpad=15, fontsize=15)
plt.xticks(size=10, rotation=45)
plt.plot(x_value, y_value[0], color='red', marker='o', label=weather_elements[0])
plt.legend(loc = "upper left")
elif len(weather_elements) == 2:
weatherPlot, ax1 = plt.subplots(figsize=(10,10))
plt.title("2022 Weather Graph", fontsize=20, fontweight='bold')
plt.xticks(size=10, rotation=45)
line1 = ax1.plot(x_value, y_value[0], color='red', marker='o', label=weather_elements[0])
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
ax1_sub = ax1.twinx()
line2 = ax1_sub.plot(x_value, y_value[1], color='skyblue', marker='o', label=weather_elements[1])
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
lines = line1 + line2
labels = [l.get_label() for l in lines]
ax1.legend(lines, labels, loc='upper left')
elif len(weather_elements) == 3:
weatherPlot, (ax1, ax2) = plt.subplots(2,1, figsize=(10,15), constrained_layout=True)
line1 = ax1.plot(x_value, y_value[0], color='red', marker = "o", label=weather_elements[0])
ax1.set_xlabel(xname, labelpad=5, fontsize=15)
ax1.set_ylabel(weather_elements[0], labelpad=15, fontsize=15)
ax1.set_title("2022 Weather Graph", fontsize=20, fontweight='bold')
ax1.tick_params(axis='x', rotation=45, labelsize=10)
ax1_sub = ax1.twinx()
line2 = ax1_sub.plot(x_value, y_value[1], color='skyblue', marker = "o", label=weather_elements[1])
ax1_sub.set_ylabel(weather_elements[1], labelpad=25, fontsize=15, rotation=270)
lines = line1 + line2
labels = [l.get_label() for l in lines]
ax1.legend(lines, labels, loc='upper left')
ax2.plot(x_value, y_value[2], color='gray', marker = "o", label=weather_elements[2])
ax2.set_xlabel(xname, labelpad=5, fontsize=15)
ax2.set_ylabel(weather_elements[2], labelpad=15, fontsize=15)
ax2.tick_params(axis='x', rotation=45, labelsize=10)
ax2.legend(loc='upper left')
return [weatherTable, weatherPlot]
output1 = gr.Dataframe()
output2 = gr.Plot()
# make gradio interface
demo = gr.Interface(
fn=showOutput,
inputs=[
gr.Dropdown(["January", "February", "March", "April", "May", "June",
"July", "August", "September", "October", "November", "December"],
label="Month", info="Select Months"),
gr.Dropdown(["1", "2", "3", "4", "5", "6", "7", "8", "9", "10",
"11", "12", "13", "14", "15", "16", "17", "18", "19", "20",
"21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31"], label="Day", info="Select Day"),
gr.CheckboxGroup(["temperature(˚C)", "wind(m/s)", "humidity(%)", "air_pressure(hPa)"],
label="Weather element", info="Choose weather element"),
gr.Radio(["Washington", "Seoul"],
label="Location", info="Choose location"),
gr.Checkbox(label="precipation?")],
outputs=[output1,output2]
)
if __name__=="__main__":
demo.launch() |