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Python Pandas - Create an Index with values cast to dtypes
To create an Index with values cast to dtypes, use the index.astype() method in Pandas. At first, import the required libraries −
import pandas as pd
Creating Pandas index −
index = pd.Index([50.4, 10.2, 70.5, 110.5, 90.8, 50.6])
Display the Pandas index −
print("Pandas Index...\n",index)Convert datatype to int64 −
index.astype('int64')
Example
Following is the code −
import pandas as pd
# Creating Pandas index
index = pd.Index([50.4, 10.2, 70.5, 110.5, 90.8, 50.6])
# 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 object...\n",index.dtype)
# convert datatype to int64
print("\nIndex object after converting type...\n",index.astype('int64'))Output
This will produce the following output −
Pandas Index... Float64Index([50.4, 10.2, 70.5, 110.5, 90.8, 50.6], dtype='float64') Number of elements in the index... 6 The dtype object... float64 Index object after converting type... Int64Index([50, 10, 70, 110, 90, 50], dtype='int64')
Updated on: 13-Oct-2021
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