Pandas DataFrame is a two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Arithmetic operations align on both row and column labels. It can be thought of as a dict-like container for Series objects. This is the primary data structure of the Pandas.
Pandas
DataFrame.axes attribute access a group of rows and columns by label(s) or a boolean array in the given DataFrame.
Syntax: DataFrame.axes
Parameter : None
Returns : list
Example #1: Use
DataFrame.axes attribute to return a list containing the axes labels of the dataframe.
Output :
👁 Image
Now we will use
DataFrame.axes attribute to return the axes labels of the dataframe.
Output :
👁 Image
As we can see in the output, the
DataFrame.axes attribute has successfully returned a list containing the axes labels of the dataframe.
Example #2: Use
DataFrame.axes attribute to return a list containing the axes labels of the dataframe.
Output :
👁 Image
Now we will use
DataFrame.axes attribute to return the axes labels of the dataframe.
Output :
👁 Image
As we can see in the output, the
DataFrame.axes attribute has successfully returned a list containing the axes labels of the dataframe.
