How to Plot Multiple Pie Chart In Pandas?

To plot multiple pie charts in pandas, you can use the plot function with the kind='pie' parameter. Simply create a DataFrame with the data for each pie chart you want to plot, and then call the plot function on each DataFrame. You can also use the subplots parameter to create multiple subplots in a single figure. Additionally, you can use the autopct parameter to display the percentage labels on each pie chart. Overall, plotting multiple pie charts in pandas is a straightforward process that allows you to effectively visualize and compare multiple data sets.

What is the parameter for specifying the order of the pie charts in pandas?

The order parameter is used to specify the order of the categories in a pie chart created using Pandas. It is a list of category names that defines the order in which the slices should appear in the chart.

How to plot multiple pie charts with different sizes in pandas?

To plot multiple pie charts with different sizes in Pandas, you can use the following steps:

1. First, import the necessary libraries:

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import pandas as pd
import matplotlib.pyplot as plt

1. Next, create a DataFrame with the data you want to display in the pie charts. Each row in the DataFrame should represent one set of values for a pie chart.

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data = {'labels': ['A', 'B', 'C'],
        'sizes': [30, 40, 30]}
df1 = pd.DataFrame(data)

data = {'labels': ['X', 'Y', 'Z'],
        'sizes': [10, 60, 30]}
df2 = pd.DataFrame(data)

1. Now, create subplots using matplotlib and plot the pie charts:

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fig, axs = plt.subplots(1, 2, figsize=(10, 5))

axs[0].pie(df1['sizes'], labels=df1['labels'], autopct='%1.1f%%', startangle=90)
axs[0].axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle

axs[1].pie(df2['sizes'], labels=df2['labels'], autopct='%1.1f%%', startangle=90)
axs[1].axis('equal')

plt.show()

This code will create a figure with two subplots, each displaying a pie chart with the respective data from the DataFrames df1 and df2.

You can repeat these steps to create and plot multiple pie charts with different sizes as needed.

How to change the font size of the legend in pandas pie charts?

To change the font size of the legend in a pandas pie chart, you can use the legend method and specify the fontsize parameter with the desired font size. Here's an example:

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import pandas as pd
import matplotlib.pyplot as plt

# Create a sample DataFrame
data = {'values': [10, 20, 30, 40]}
df = pd.DataFrame(data, index=['A', 'B', 'C', 'D'])

# Create a pie chart
df.plot.pie(y='values', legend=False)

# Add a legend with a specific font size
plt.legend(df.index, title='Legend', loc='center left', bbox_to_anchor=(1, 0.5), fontsize=12)

plt.show()

In this example, the fontsize parameter in the legend method is set to 12, which will change the font size of the legend in the pandas pie chart. You can adjust the font size value as needed to achieve the desired appearance.

How to rotate the starting angle of the first slice in pandas pie charts?

To rotate the starting angle of the first slice in a pandas pie chart, you can use the startangle parameter in the plot function. The startangle parameter allows you to specify the angle at which the first slice should start.

Here is an example code snippet to demonstrate how to rotate the starting angle of the first slice in a pandas pie chart:

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import pandas as pd

# Sample data
data = {'A': 20, 'B': 30, 'C': 50}
df = pd.Series(data)

# Plotting the pie chart with the starting angle rotated by 90 degrees
plot = df.plot.pie(y='A', startangle=90)

In this example, the startangle parameter is set to 90, which means the first slice of the pie chart will start at a 90-degree angle. You can adjust the value of startangle to rotate the starting angle of the first slice to your desired position.