Create a Pivot Table as a DataFrame – Python Pandas

To create a Pivot Table, use the pandas.pivot_table() to create a spreadsheet-style pivot table as a DataFrame.

At first, import the required library −

import pandas as pd

Create a DataFrame with Team records −

dataFrame = pd.DataFrame({'Team ID': {0: 5, 1: 9, 2: 6, 3: 11, 4: 2, 5: 7 },'Team Name': {0: 'India', 1: 'Australia', 2: 'Bangladesh', 3: 'South Africa', 4: 'Sri Lanka', 5: 'England'},'Team Points': {0: 95, 1: 93, 2: 42, 3: 60, 4: 80, 5: 55},'Team Rank': {0: 'One', 1: 'Two', 2: 'Six', 3: 'Four', 4: 'Three', 5: 'Five'}})

Create a Pivot Table: with a single column −

pd.pivot_table(dataFrame, index = ["Team ID"])

Example

Following is the code −

import pandas as pd

# create DataFrame with Team records
dataFrame = pd.DataFrame({'Team ID': {0: 5, 1: 9, 2: 6, 3: 11, 4: 2, 5: 7 },'Team Name': {0: 'India', 1: 'Australia', 2: 'Bangladesh', 3: 'South Africa', 4: 'Sri Lanka', 5: 'England'},'Team Points': {0: 95, 1: 93, 2: 42, 3: 60, 4: 80, 5: 55},'Team Rank': {0: 'One', 1: 'Two', 2: 'Six', 3: 'Four', 4: 'Three', 5: 'Five'}})

print"DataFrame...\n",dataFrame

print"\n... Pivot ..."
print(pd.pivot_table(dataFrame, index = ["Team ID"]))

Output

This will produce the following output −

DataFrame...
   Team ID     Team Name   Team Points   Team Rank
0        5         India            95         One
1        9     Australia            93         Two
2        6    Bangladesh            42         Six
3       11  South Africa            60        Four
4        2     Sri Lanka            80       Three
5        7       England            55        Five

... Pivot ...
          Team Points
Team ID
2                  80
5                  95
6                  42
7                  55
9                  93
11                 60