Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas dataframe.swapaxes() function interchange axes and swap values axes appropriately. The function takes the name of the axes to be interchanged with as parameter. Based on the axes, it accordingly changes the data as well.
Syntax: DataFrame.swapaxes(axis1, axis2, copy=True)
Parameters :
axis1 : name of the first axes { string}
axis2 : name of the second axes { string}Returns : y : same as input
Example #1: Use swapaxes() function to swap the axes of the dataframe.
# importing pandas as pd import pandas as pd # Creating the dataframe df = pd.DataFrame({"A":[10, 11, 7, 8, 5], "B":[21, 5, 32, 4, 6], "C":[11, 21, 23, 7, 9], "D":[1, 5, 3, 8, 6]}, index =["A1", "A2", "A3", "A4", "A5"]) # Print the dataframe df |
# interchange the index and columns axis df.swapaxes("index", "columns") |
Output :
Example #2: Use swapaxes() function to swap the index and column axes with each other. The dataframe has some missing values.
# importing pandas as pd import pandas as pd # Creating the dataframe df = pd.DataFrame({"A":[1, 5 + 1j, 3+.2j, 4 + 1j, None], "B":[3, 2, 4, 3, 4], "C":["brook", "daniela", "samantha", "hayden", "nathan"], "D":[None, 3, 6, None, 7]}, index =["A1", "A2", "A3", "A4", "A5"]) # Print the dataframe df |
# interchange the columns and index axis df.swapaxes("index", "columns") |
Output :
