To return a string of the type inferred from the values, use the index.inferred_type property in Pandas.
At first, import the required libraries −
import pandas as pd import numpy as np
Creating the index. For NaN, we have used numpy library −
index = pd.Index(['Car','Bike', np.nan,'Car',np.nan, 'Ship', None, None])
Display the index −
print("Pandas Index...\n",index)
Return a string of the type inferred from the values −
print("\nThe inferred type...\n",index.inferred_type)
Example
Following is the code −
import pandas as pd import numpy as np # Creating the index # For NaN, we have used numpy library index = pd.Index(['Car','Bike', np.nan,'Car',np.nan, 'Ship', None, None]) # Display the index print("Pandas Index...\n",index) # Return an array representing the data in the Index print("\nArray...\n",index.values) # Check if the index is having NaNs print("\nIs the Pandas index having NaNs?\n",index.hasnans) # Return the dtype of the data print("\nThe dtype object...\n",index.dtype) # Return a string of the type inferred from the values print("\nThe inferred type...\n",index.inferred_type)
Output
This will produce the following code −
Pandas Index... Index(['Car', 'Bike', nan, 'Car', nan, 'Ship', None, None], dtype='object') Array... ['Car' 'Bike' nan 'Car' nan 'Ship' None None] Is the Pandas index having NaNs? True The dtype object... object The inferred type... Mixed