Python | Pandas Index.all ()

NumPy | Python Methods and Functions

Index.all() Pandas Index.all() checks if all items are in index true or not. Returns a single boolean value if no axis is specified. It returns true if every single value in the index is true. It returns false if any of the values in the index are invalid.

Note: it treats 0 as false.

Syntax: Index.all (* args, ** kwargs)

Parameters:
* args: These parameters will be passed to numpy.all
** kwargs: These parameters will be passed to numpy.all

Returns: all: bool or array_like (if axis is specified)
A single element array_like may be converted to bool.

Example # 1: Use Index.all () to check if all values in the index are true.

# import pandas as pd

import pandas as pd

# Create index

df = pd.Index ([ 10 , 44 , 5 , 25 , 74 ])

   
  # Print index  
  df

Output:

Let`s check if all the values in the index are correct or not.

# check if index values are true or not

df. all ()

Output:

As we can see in the output, the function returned true, indicating that all values in the index are correct.

Example # 2: Use Index.all () to check if all values in the index are true. We have about 0 values in the index.

# import pandas as pd

import pandas as pd

# Create index

df = pd.Index ([ 17 , 69 , 33 , 5 , 0 , 74 , 0 ])

   
  # Print the data frame  
  df

Output:

Let`s check if all the values in the index are true or whether they also have false values.

# check if there is a lie
# the value present in the index

df. all ()

Exit:

Python | Pandas Index.all ()

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