Python Pandas - Options and Customization

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Pandas provides a API to customize various aspects of its behavior, particularly related to display settings. This customization is essential for adjusting how data is presented based on your needs. Whether you want to adjust how many rows and columns are displayed or change the precision of floating-point numbers, Pandas provides a flexible and powerful API for these customization's.

The primary functions available for these customization's are −

• get_option()
• set_option()
• reset_option()
• describe_option()
• option_context()

Frequently used Parameters

Before learning about the customization options, let's see about some of the frequently used Pandas display parameters that you can used for customization −

Let us now understand how the customization's functions operate.

Getting the Current Options

The get_option() function retrieves the current value of a specified parameter. This is useful for checking the current configuration of Pandas.

Example: Checking Maximum Rows Displayed

Following is the example that gets and returns the default number of maximum rows displayed. Interpreter reads this value and displays the rows with this value as upper limit to display.

import pandas as pd
print(pd.get_option("display.max_rows"))

Its output is as follows −

60

Example: Checking Maximum Columns Displayed

This example returns the default number of maximum columns displayed. Interpreter reads this value and displays the rows with this value as upper limit to display.

import pandas as pd
print(pd.get_option("display.max_columns"))

Its output is as follows −

0

Here, 60 and 0 are the default configuration parameter values.

Setting a New Option

The set_option() function allows you to change the value of a specific parameter, enabling you to customize how data is displayed.

Example: Changing Maximum Rows Displayed

Using set_option(), we can change the default number of rows to be displayed. Here is the example −

import pandas as pd
pd.set_option("display.max_rows",10)
print(pd.get_option("display.max_rows"))

Its output is as follows −

10

Example: Changing Maximum Columns Displayed

Following is the example that uses the set_option() function to change the default number of columns to be displayed.

import pandas as pd

pd.set_option("display.max_columns",30)

print(pd.get_option("display.max_columns"))

Its output is as follows −

30

Resetting an Option to Its Default Value

The reset_option() function resets the value of a specified parameter back to its default setting.

Example: Resetting Maximum Rows Displayed

Using the reset_option() function, we can change the value back to the default number of rows to be displayed.

import pandas as pd

pd.reset_option("display.max_rows")
print(pd.get_option("display.max_rows"))

Its output is as follows −

60

Describing an Option

The describe_option() function provides a description of a specified parameter, explaining what it does and its default value.

Example: Describing Maximum Rows Displayed

This example uses the reset_option() function to get the description of the max_row parameter.

import pandas as pd
pd.describe_option("display.max_rows")

Its output is as follows −

display.max_rows : int
   If max_rows is exceeded, switch to truncate view. Depending on
   'large_repr', objects are either centrally truncated or printed as
   a summary view. 'None' value means unlimited.

   In case python/IPython is running in a terminal and `large_repr`
   equals 'truncate' this can be set to 0 and pandas will auto-detect
   the height of the terminal and print a truncated object which fits
   the screen height. The IPython notebook, IPython qtconsole, or
   IDLE do not run in a terminal and hence it is not possible to do
   correct auto-detection.
   [default: 60] [currently: 60]

Temporary Option Setting

The option_context() function allows you to set an option temporarily within a with statement. Once the context is exited, the option is automatically reverted to its previous value.

Example: Temporarily Changing Maximum Rows Displayed

This example uses the option_context() function to set the temporarily value for the maximum rows to displayed.

import pandas as pd
with pd.option_context("display.max_rows",10):
   print(pd.get_option("display.max_rows"))
print(pd.get_option("display.max_rows"))

Its output is as follows −

10
60

See, the difference between the first and the second print statements. The first statement prints the value set by option_context() which is temporary within the with context itself. After the with context, the second print statement prints the configured value.