How to Create a Pie Chart Using Pandas DataFrame

1. Create a Simple Pie Chart Using Pandas DataFrame
2. Create Pie Chart with Percentage Using Pandas DataFrame
3. Create Pie Chart with Colors Using Pandas DataFrame
4. Create Pie Chart with Explosion Effect Using Pandas DataFrame
5. Create Pie Chart with Shadow Effect Using Pandas DataFrame
6. Create Pie Chart with Start Angle Using Pandas DataFrame
7. Conclusion

A pie chart represents the data in a circular graph, often used in research, industry, and business.

The pie segments represent the relative strength of the data and serve as its graphical representation. A pie chart requires a list of categories and numerical variables.

The total value of the pie is always 100 percent.

This article will introduce how the Python Pandas library creates a pie chart using a dataframe.

Create a Simple Pie Chart Using Pandas DataFrame

We must first import a Pandas library before creating a dataframe and saving it in the variable data_frame. This dataframe contains two columns: one for each student’s name and another for the number of votes cast by each student.

import pandas as pd

Now, the data_frame variable stores the data of two columns.

data_frame = pd.DataFrame(
    {
        "Name": [
            "John",
            "John",
            "John",
            "Jhon",
            "John",
            "Arapa",
            "Arapa",
            "Arapa",
            "Arapa",
            "Arapa",
            "Harry",
            "Harry",
            "Harry",
            "Harry",
            "Harry",
        ],
        "each_class_vote": [22, 12, 10, 18, 20, 17, 16, 13, 12, 14, 22, 19, 11, 19, 18],
    }
)
data_frame

Output:

     Name    No_of_vote
0    John    22
1    John    12
2    John    10
3    Jhon    18
4    John    20
5    Arapa   17
6    Arapa   16
7    Arapa   13
8    Arapa   12
9    Arapa   14
10   Harry   22
11   Harry   19
12   Harry   11
13   Harry   19
14   Harry   18

We will plot the pie chart of the above data_frame using the plot() function with the attribute kind.

data_frame.groupby(["Name"]).sum().plot(kind="pie", y="No_of_vote")

Output:

Create Pie Chart with Percentage Using Pandas DataFrame

To add another attribute, use autopct with its value. This attribute adds a percentage to the pie chart graph.

data_frame.groupby(["Name"]).sum().plot(kind="pie", y="No_of_vote", autopct="%1.0f%%")

Create Pie Chart with Colors Using Pandas DataFrame

To add an attribute color in the pie chart, we set the list of colors.

Syntax:

plot(kind='pie', colors)

Make a variable colors and assign a list of colors with the color name.

colors = ["pink", "silver", "steelblue", "blue"]

data_frame.groupby(["Name"]).sum().plot(
    kind="pie", y="No_of_vote", autopct="%1.0f%%", colors=colors
)

Output:

The above output shows that the color list sets the 4 colors according to a student’s name.

Create Pie Chart with Explosion Effect Using Pandas DataFrame

The process of exploding a pie chart is splitting it into parts. For this, we use the explode attribute and assign it to an appropriate value.

plot(kind='pie', explode)

Create a variable called explode and assign the ratio to it.

explode = (0.05, 0.05, 0.05, 0.05)

data_frame.groupby(["Name"]).sum().plot(
    kind="pie", y="No_of_vote", autopct="%1.0f%%", colors=colors, explode=explode
)

Output:

Create Pie Chart with Shadow Effect Using Pandas DataFrame

Use the shadow attribute with value True to add a shadow effect in the pie chart. This adds an extra dimension to the pie chart.

plot(kind='pie', shadow=True)

data_frame.groupby(["Name"]).sum().plot(
    kind="pie", y="No_of_vote", autopct="%1.0f%%", shadow=True
)

Output:

Create Pie Chart with Start Angle Using Pandas DataFrame

If we want to rotate the pie chart to a different angle, use this attribute with its appropriate value.

Syntax:

plot(kind='pie', startangle)

Rotate the chart at 90 degree

data_frame.groupby(["Name"]).sum().plot(
    kind="pie", y="votes_of_each_class", autopct="%1.0f%%", startangle=60
)

Conclusion

In the above article, first, we create the dataframe with 2 columns then plot a pie chart using the plot() function of the Pandas module. After that, we have applied different attributes and effects to the pie chart.