Pandas DataFrame Plot - Pie Chart
languageEnglish

Pandas DataFrame Plot - Pie Chart

visibility 28,234 comment 0 access_time 10 months ago

This article provides examples about plotting pie chart using pandas.DataFrame.plot function.

Prerequisites

The data I'm going to use is the same as the other article Pandas DataFrame Plot - Bar Chart. I'm also using Jupyter Notebook to plot them.

The DataFrame has 9 records:

DATETYPESALES
02020-01-01TypeA1000
12020-01-01TypeB200
22020-01-01TypeC300
32020-02-01TypeA700
42020-02-01TypeB400
52020-02-01TypeC500
62020-03-01TypeA300
72020-03-01TypeB900
82020-03-01TypeC100


Pie chart

df.groupby(['TYPE']).sum().plot(kind='pie', y='SALES')

The above code outputs the following chart:

Shadow effect

df.groupby(['TYPE']).sum().plot(kind='pie', y='SALES', shadow = True)

Start angle

df.groupby(['TYPE']).sum().plot(kind='pie', y='SALES', shadow = True, startangle=90)

Subplots (trellis)

We can also easily implement subplots/trellis charts.

Let's add derive one more column on the existing DataFrame using the following code:

df['COUNT'] = df['SALES'] /100
df

The dataframe now looks like this:

DATETYPESALESCOUNT
02020-01-01TypeA100010.0
12020-01-01TypeB2002.0
22020-01-01TypeC3003.0
32020-02-01TypeA7007.0
42020-02-01TypeB4004.0
52020-02-01TypeC5005.0
62020-03-01TypeA3003.0
72020-03-01TypeB9009.0
82020-03-01TypeC1001.0


Now we can plot the charts using the following code:

df.groupby(['TYPE']).sum().plot(kind='pie', subplots=True, shadow = True,startangle=90,figsize=(15,10))

In the above code, subplots=True parameter is used to plot charts on both SALES and COUNT metrics. The chart size is also increased using figsize parameter.

The chart now looks like the following screenshot:

Add percentage

df.groupby(['TYPE']).sum().plot(kind='pie', subplots=True, shadow = True,startangle=90,
figsize=(15,10), autopct='%1.1f%%')


info Last modified by Raymond 10 months ago copyright This page is subject to Site terms.

Subscribe newsletter

Please log in or register to comment.

account_circle Log in person_add Register

Log in with external accounts

More from Kontext

Connect to PostgreSQL in Spark (PySpark)
visibility 2507
thumb_up 0
access_time 8 months ago
Pandas - Save DataFrame to BigQuery
visibility 337
thumb_up 0
access_time 7 months ago