Python | Pandas Index.flags

Pandas Index is an immutable ndarray implementing an ordered, sliceable set. It is the basic object which stores the axis labels for all pandas objects. Pandas Index.flags attribute return the status of all the flags for the given Index object.

Syntax: Index.flags Parameter : None Returns : status of flags

Example #1:

Use Index.flags attribute to find the status of all the flags for the given Index object.

# importing pandas as pd
import pandas as pd

# Creating the index
idx = pd.Index(['Jan', 'Feb', 'Mar', 'Apr', 'May'])

# Print the index
print(idx)

Output :

Index(['Jan', 'Feb', 'Mar', 'Apr', 'May'], dtype='object')

Now we will use Index.flags attribute to find the status of all the flags for the given Index object.

# return the status of the flags
result = idx.flags

# Print the result
print(result)

Output :

{'writeable': False, 'fnc': None, 'mapped': False, 'user': None}

As we can see in the output, the Index.flags attribute has returned the status of all the flags for the given Index object.

Example #2 :

Use Index.flags attribute to find the status of all the flags for the given Index object.

# importing pandas as pd
import pandas as pd

# Creating the index
idx = pd.Index([100, 200, 142, 88, 124])

# Print the index
print(idx)

Output :

Int64Index([100, 200, 142, 88, 124], dtype='int64')

Now we will use Index.flags attribute to find the status of all the flags for the given Index object.

# return the status of the flags
result = idx.flags

# Print the result
print(result)

Output :

Flags(contiguous=False, unique=True, ... )

As we can see in the output, the Index.flags attribute has returned the status of all the flags for the given Index object.