To check if the Pandas Index holds categorical data, use the index.is_categorical() method in Pandas. At first, import the required libraries -
import pandas as pd
Creating Pandas index with type set as category using the astype() method −
index = pd.Index(["Electronics","Accessories","Furniture"]).astype("category")
Display the Pandas index −
print("Pandas Index...\n",index)Check whether index holds categorical data −
print("\nDoes Index holds categorical data?\n",index.is_categorical())Example
Following is the code −
import pandas as pd
# Creating Pandas index
index = pd.Index(["Electronics","Accessories","Furniture"]).astype("category")
# Display the Pandas index
print("Pandas Index...\n",index)
# Return the number of elements in the Index
print("\nNumber of elements in the index...\n",index.size)
# Return the dtype of the data
print("\nThe dtype...\n",index.dtype)
# check whether index holds categorical data
print("\nDoes Index holds categorical data?\n",index.is_categorical())Output
This will produce the following output −
Pandas Index... CategoricalIndex(['Electronics', 'Accessories', 'Furniture'], categories=['Accessories', 'Electronics', 'Furniture'], ordered=False, dtype='category') Number of elements in the index... 3 The dtype... category Does Index holds categorical data? True