Pandas have an options system that lets you customize some aspects of its behavior, display-related options being those the user is most likely to adjust. Let us see how to set the value of a specified option.
set_option()
Syntax : pandas.set_option(pat, value)
Parameters :
- pat : Regexp which should match a single option.
- value : New value of option.
Returns : None
Raises : OptionError if no such option exists
Example 1 : Changing the number of rows to be displayed using display.max_rows.
# importing the moduleimport pandas as pd # creating the DataFramedata = {"Number" : [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], "Alphabet" : ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J']}df = pd.DataFrame(data) print("Initial max_rows value : " + str(pd.options.display.max_rows)) # displaying the DataFramedisplay(df) # changing the max_rows valuepd.set_option("display.max_rows", 5) print("max_rows value after the change : " + str(pd.options.display.max_rows)) # displaying the DataFramedisplay(df) |
Output :
Example 2 : Changing the number of columns to be displayed using display.max_columns.
# importing the moduleimport pandas as pd # creating the DataFramedata = {"Number" : 1, "Name" : ["ABC"], "Subject" : ["Computer"], "Field" : ["BDA"], "Marks" : 70}df = pd.DataFrame(data) print("Initial max_columns value : " + str(pd.options.display.max_columns)) # displaying the DataFramedisplay(df) # changing the max_columns valuepd.set_option("display.max_columns", 3) print("max_columns value after the change : " + str(pd.options.display.max_columns)) # displaying the DataFramedisplay(df) |
Output :
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