formatted_text
stringclasses 135
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<|user|>
Exercise 1:Read Total profit of all months and show it using a line plot<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\\Python\\Articles\\matplotlib\\sales_data.csv")
profitList = df ['total_profit'].tolist()
monthList = df ['month_number'].tolist()
plt.plot(monthList, profitList, label = 'Month-wise Profit data of last year')
plt.xlabel('Month number')
plt.ylabel('Profit in dollar')
plt.xticks(monthList)
plt.title('Company profit per month')
plt.yticks([100000, 200000, 300000, 400000, 500000])
plt.show()
```<|end|>
|
<|user|>
Exercise 2: Get total profit of all months and show line plot with the following Style properties<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\\Python\\Articles\\matplotlib\\sales_data.csv")
profitList = df ['total_profit'].tolist()
monthList = df ['month_number'].tolist()
plt.plot(monthList, profitList, label = 'Profit data of last year',
color='r', marker='o', markerfacecolor='k',
linestyle='--', linewidth=3)
plt.xlabel('Month Number')
plt.ylabel('Profit in dollar')
plt.legend(loc='lower right')
plt.title('Company Sales data of last year')
plt.xticks(monthList)
plt.yticks([100000, 200000, 300000, 400000, 500000])
plt.show()
```<|end|>
|
<|user|>
Exercise 3: Read all product sales data and show it using a multiline plot<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\\Python\\Articles\\matplotlib\\sales_data.csv")
monthList = df ['month_number'].tolist()
faceCremSalesData = df ['facecream'].tolist()
faceWashSalesData = df ['facewash'].tolist()
toothPasteSalesData = df ['toothpaste'].tolist()
bathingsoapSalesData = df ['bathingsoap'].tolist()
shampooSalesData = df ['shampoo'].tolist()
moisturizerSalesData = df ['moisturizer'].tolist()
plt.plot(monthList, faceCremSalesData, label = 'Face cream Sales Data', marker='o', linewidth=3)
plt.plot(monthList, faceWashSalesData, label = 'Face Wash Sales Data', marker='o', linewidth=3)
plt.plot(monthList, toothPasteSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
plt.plot(monthList, bathingsoapSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
plt.plot(monthList, shampooSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
plt.plot(monthList, moisturizerSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
plt.xlabel('Month Number')
plt.ylabel('Sales units in number')
plt.legend(loc='upper left')
plt.xticks(monthList)
plt.yticks([1000, 2000, 4000, 6000, 8000, 10000, 12000, 15000, 18000])
plt.title('Sales data')
plt.show()
```<|end|>
|
<|user|>
Exercise 4: Read toothpaste sales data of each month and show it using a scatter plot<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\\Python\\Articles\\matplotlib\\sales_data.csv")
monthList = df ['month_number'].tolist()
toothPasteSalesData = df ['toothpaste'].tolist()
plt.scatter(monthList, toothPasteSalesData, label = 'Tooth paste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title(' Tooth paste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth= 1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Exercise 5: Read face cream and facewash product sales data and show it using the bar chart<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\\Python\\Articles\\matplotlib\\sales_data.csv")
monthList = df ['month_number'].tolist()
faceCremSalesData = df ['facecream'].tolist()
faceWashSalesData = df ['facewash'].tolist()
plt.bar([a-0.25 for a in monthList], faceCremSalesData, width= 0.25, label = 'Face Cream sales data', align='edge')
plt.bar([a+0.25 for a in monthList], faceWashSalesData, width= -0.25, label = 'Face Wash sales data', align='edge')
plt.xlabel('Month Number')
plt.ylabel('Sales units in number')
plt.legend(loc='upper left')
plt.title(' Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth= 1, linestyle="--")
plt.title('Facewash and facecream sales data')
plt.show()
```<|end|>
|
<|user|>
Exercise 6: Read sales data of bathing soap of all months and show it using a bar chart. Save this plot to your hard disk<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\\Python\\Articles\\matplotlib\\sales_data.csv")
monthList = df ['month_number'].tolist()
bathingsoapSalesData = df ['bathingsoap'].tolist()
plt.bar(monthList, bathingsoapSalesData)
plt.xlabel('Month Number')
plt.ylabel('Sales units in number')
plt.title(' Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth= 1, linestyle="--")
plt.title('bathingsoap sales data')
plt.savefig('D:\Python\Articles\matplotlib\sales_data_of_bathingsoap.png', dpi=150)
plt.show()
```<|end|>
|
<|user|>
Exercise 7: Read the total profit of each month and show it using the histogram to see the most common profit ranges<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\\Python\\Articles\\matplotlib\\sales_data.csv")
profitList = df ['total_profit'].tolist()
labels = ['low', 'average', 'Good', 'Best']
profit_range = [150000, 175000, 200000, 225000, 250000, 300000, 350000]
plt.hist(profitList, profit_range, label = 'Profit data')
plt.xlabel('profit range in dollar')
plt.ylabel('Actual Profit in dollar')
plt.legend(loc='upper left')
plt.xticks(profit_range)
plt.title('Profit data')
plt.show()
```<|end|>
|
<|user|>
Exercise 8: Calculate total sale data for last year for each product and show it using a Pie chart<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\\Python\\Articles\\matplotlib\\sales_data.csv")
monthList = df ['month_number'].tolist()
labels = ['FaceCream', 'FaseWash', 'ToothPaste', 'Bathing soap', 'Shampoo', 'Moisturizer']
salesData = [df ['facecream'].sum(), df ['facewash'].sum(), df ['toothpaste'].sum(),
df ['bathingsoap'].sum(), df ['shampoo'].sum(), df ['moisturizer'].sum()]
plt.axis("equal")
plt.pie(salesData, labels=labels, autopct='%1.1f%%')
plt.legend(loc='lower right')
plt.title('Sales data')
plt.show()
```<|end|>
|
<|user|>
Exercise 9: Read Bathing soap facewash of all months and display it using the Subplot<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\\Python\\Articles\\matplotlib\\sales_data.csv")
monthList = df ['month_number'].tolist()
bathingsoap = df ['bathingsoap'].tolist()
faceWashSalesData = df ['facewash'].tolist()
f, axarr = plt.subplots(2, sharex=True)
axarr[0].plot(monthList, bathingsoap, label = 'Bathingsoap Sales Data', color='k', marker='o', linewidth=3)
axarr[0].set_title('Sales data of a Bathingsoap')
axarr[1].plot(monthList, faceWashSalesData, label = 'Face Wash Sales Data', color='r', marker='o', linewidth=3)
axarr[1].set_title('Sales data of a facewash')
plt.xticks(monthList)
plt.xlabel('Month Number')
plt.ylabel('Sales units in number')
plt.show()
```<|end|>
|
<|user|>
Exercise Question 10: Read all product sales data and show it using the stack plot<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\\Python\\Articles\\matplotlib\\sales_data.csv")
monthList = df ['month_number'].tolist()
faceCremSalesData = df ['facecream'].tolist()
faceWashSalesData = df ['facewash'].tolist()
toothPasteSalesData = df ['toothpaste'].tolist()
bathingsoapSalesData = df ['bathingsoap'].tolist()
shampooSalesData = df ['shampoo'].tolist()
moisturizerSalesData = df ['moisturizer'].tolist()
plt.plot([],[],color='m', label='face Cream', linewidth=5)
plt.plot([],[],color='c', label='Face wash', linewidth=5)
plt.plot([],[],color='r', label='Tooth paste', linewidth=5)
plt.plot([],[],color='k', label='Bathing soap', linewidth=5)
plt.plot([],[],color='g', label='Shampoo', linewidth=5)
plt.plot([],[],color='y', label='Moisturizer', linewidth=5)
plt.stackplot(monthList, faceCremSalesData, faceWashSalesData, toothPasteSalesData,
bathingsoapSalesData, shampooSalesData, moisturizerSalesData,
colors=['m','c','r','k','g','y'])
plt.xlabel('Month Number')
plt.ylabel('Sales unints in Number')
plt.title('Alll product sales data using stack plot')
plt.legend(loc='upper left')
plt.show()
```<|end|>
|
<|user|>
Show moisturizer sales data of each month using a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Show shampoo sales data of each month using a line chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Show toothpaste sales data of each month using a line chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize facewash sales data of each month with a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()
```<|end|>
|
<|user|>
Visualize soap sales data of each month with a line chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.plot(monthList, salesData, label='soap Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize facewash sales data of each month with a histogram.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()
```<|end|>
|
<|user|>
Visualize toothpaste sales data of each month with a histogram.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a histogram chart for shampoo sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()
```<|end|>
|
<|user|>
Visualize moisturizer sales data of each month with a bar chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize toothpaste sales data of each month with a bar chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize shampoo sales data of each month with a histogram.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()
```<|end|>
|
<|user|>
Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a histogram chart for toothpaste sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()
```<|end|>
|
<|user|>
Visualize toothpaste sales data of each month with a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Show toothpaste sales data of each month using a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize toothpaste sales data of each month with a histogram.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()
```<|end|>
|
<|user|>
Visualize moisturizer sales data of each month with a line chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Create a pie chart chart for soap sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a histogram chart for facewash sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()
```<|end|>
|
<|user|>
Show moisturizer sales data of each month using a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()
```<|end|>
|
<|user|>
Read soap sales data and plot a bar chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Show shampoo sales data of each month using a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a histogram chart for toothpaste sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a histogram chart for soap sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()
```<|end|>
|
<|user|>
Read toothpaste sales data and plot a histogram chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()
```<|end|>
|
<|user|>
Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read shampoo sales data and plot a bar chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Create a pie chart chart for soap sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()
```<|end|>
|
<|user|>
Read shampoo sales data and plot a histogram chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()
```<|end|>
|
<|user|>
Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Create a line chart chart for moisturizer sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Create a line chart chart for facewash sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read moisturizer sales data and plot a line chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read soap sales data and plot a bar chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize moisturizer sales data of each month with a line chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize soap sales data of each month with a line chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.plot(monthList, salesData, label='soap Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read facewash sales data and plot a bar chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Show shampoo sales data of each month using a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read soap sales data and plot a histogram chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()
```<|end|>
|
<|user|>
Visualize soap sales data of each month with a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()
```<|end|>
|
<|user|>
Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()
```<|end|>
|
<|user|>
Show moisturizer sales data of each month using a bar chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read moisturizer sales data of each month and show it using a line chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read shampoo sales data of each month and show it using a line chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read shampoo sales data and plot a bar chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Show shampoo sales data of each month using a bar chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize soap sales data of each month with a line chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.plot(monthList, salesData, label='soap Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Show shampoo sales data of each month using a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a histogram chart for soap sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()
```<|end|>
|
<|user|>
Show shampoo sales data of each month using a line chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read facewash sales data of each month and show it using a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()
```<|end|>
|
<|user|>
Show toothpaste sales data of each month using a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read toothpaste sales data of each month and show it using a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a line chart chart for moisturizer sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize soap sales data of each month with a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()
```<|end|>
|
<|user|>
Show moisturizer sales data of each month using a histogram.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['moisturizer'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('moisturizer Sales data')
plt.show()
```<|end|>
|
<|user|>
Show facewash sales data of each month using a bar chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize facewash sales data of each month with a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.scatter(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read toothpaste sales data of each month and show it using a bar chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read shampoo sales data of each month and show it using a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Create a scatter plot chart for soap sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.scatter(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Show facewash sales data of each month using a bar chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Create a bar chart chart for soap sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize shampoo sales data of each month with a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()
```<|end|>
|
<|user|>
Read shampoo sales data and plot a line chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize toothpaste sales data of each month with a bar chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize toothpaste sales data of each month with a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read facewash sales data of each month and show it using a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()
```<|end|>
|
<|user|>
Read shampoo sales data and plot a pie chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()
```<|end|>
|
<|user|>
Read shampoo sales data and plot a histogram chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a pie chart chart for moisturizer sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a line chart chart for shampoo sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize toothpaste sales data of each month with a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a scatter plot chart for moisturizer sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Show shampoo sales data of each month using a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read soap sales data and plot a bar chart chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read toothpaste sales data of each month and show it using a bar chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize soap sales data of each month with a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()
```<|end|>
|
<|user|>
Show toothpaste sales data of each month using a bar chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Create a bar chart chart for facewash sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize soap sales data of each month with a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()
```<|end|>
|
<|user|>
Create a histogram chart for soap sales data of each month.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()
```<|end|>
|
<|user|>
Visualize moisturizer sales data of each month with a pie chart.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()
```<|end|>
|
<|user|>
Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
<|user|>
Visualize shampoo sales data of each month with a scatter plot.<|end|>
<|assistant|>
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("D:\Python\Articles\matplotlib\sales_data.csv")
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()
```<|end|>
|
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