Python | Pandas Index.any()
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 Index.any() function checks if any of the elements in the index are true or not. It returns one single boolean value if axis is not specified. It returns true if any one value in the index is true. It returns false if none of the values in the index is true.
Note : It treats 0 as false value.
Syntax: Index.any(*args, **kwargs)
Parameters :
*args : These parameters will be passed tonumpy.any
**kwargs : These parameters will be passed tonumpy.anyReturns : any : bool or array_like (if axis is specified)
A single element array_like may be converted to bool.
Example #1: Use Index.any() function to check if all values are true in the index.
# importing pandas as pd import pandas as pd # Creating the Index df = pd.Index([17, 69, 33, 5, 0, 74, 0]) # Print the dataframe df |
Output :
Let’s check if any of the values in the index is true or it is having all the false value.
# to check if there is any false # value present in the index df.any() |
Output :
As we can see in the output, the function has returned true indicating that there is at least one true value present in the Index.
Example #2: Use Index.any() function to check if any value in the index is true or not.
# importing pandas as pd import pandas as pd # Creating the Index df = pd.Index([0, 0, 0, 0, 0]) # Print the dataframe df |
Output :
Let’s check if any of the values in the index is true or it is having all the false value.
# to check if there is any false # value present in the index df.any() |
Output :
