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')

AmitDiwan

Updated on 13-Oct-2021 09:41:27

• Related Questions & Answers
• Python Pandas - Return Index with duplicate values removed
• Python Pandas - Create an Index based on an underlying Categorical
• Python Pandas - Indicate duplicate index values
• Python Pandas - Return Index with duplicate values completely removed
• Python Pandas - Fill NaN values with the specified value in an Index object
• Python Pandas - Return Index without NaN values
• How to create an index with MongoDB?
• Python Pandas - Return unique values in the index
• Python Pandas - Create an IntervalIndex
• Python Pandas - Repeat elements of an Index
• Python Pandas - Convert a MultiIndex to an Index of Tuples containing the level values
• Python Pandas - Return Index with duplicate values removed except the first occurrence
• Python Pandas - Return Index with duplicate values removed keeping the last occurrence
• Python Pandas - Create a Series with both the original index and name
• Python Pandas - Create a DataFrame with both the original index and name