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<|user|> Visualize moisturizer 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['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 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|> Read facewash 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['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|> 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 pie 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") 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 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 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|> Read facewash 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['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 soap 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['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 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|> Visualize toothpaste 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['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 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 soap 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['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 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|> 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|> Visualize shampoo 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['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 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|> 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|> Read toothpaste 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['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|> 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|> 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|> Create a scatter plot 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") 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 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|> Visualize soap 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['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 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|> Show soap 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['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 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 line 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.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|> Create a pie 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") 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 facewash 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['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|> 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 moisturizer sales data of each month and show it 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|> Create a bar 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.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 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['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|> 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 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|> Read facewash 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['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|> Create a bar 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.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 facewash 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['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 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 facewash 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['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|> Read toothpaste 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['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|> 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 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['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 moisturizer 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['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 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['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|> 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 scatter plot 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") 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 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|> Show soap 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['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|> 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|> 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 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|> 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 soap 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['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 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|> 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|> Read moisturizer 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['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 soap 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['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|> 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 toothpaste 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['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|> Create a line 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.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 soap sales data of each month and show it 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['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 moisturizer 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['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 facewash 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['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 soap 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['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 soap 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['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|> Read soap 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['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|> 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 soap 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['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|> 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|> Visualize soap 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['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 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 scatter plot 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.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|> Create a pie 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") 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 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 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['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 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|> Create a scatter plot 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") 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 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 shampoo 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['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 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|> Visualize toothpaste 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['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|> 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 facewash 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['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|> Show facewash 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['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 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 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|> 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 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['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|> 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|> Create a pie 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") 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|> 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 soap sales data of each month and show it 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['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 facewash 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['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 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|>