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Python Pandas - Return a string of the type inferred from the values
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
Updated on: 13-Oct-2021
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