Return Memory Usage of Index Values in Python Pandas

To return the memory usage of the Index values, use the index.memory_usage() method in Pandas.

At first, import the required libraries −

import pandas as pd

Creating the index −

index = pd.Index([15, 25, 35, 45, 55])

Display the index −

print("Pandas Index...\n",index)

Get the memory usage of the values −

print("\nThe memory usage...\n",index.memory_usage())

Example

Following is the code −

import pandas as pd

# Creating the index
index = pd.Index([15, 25, 35, 45, 55])

# Display the 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 a tuple of the shape of the underlying data
print("\nA tuple of the shape of underlying data...\n",index.shape)

# get the bytes in the data
print("\nReturn the bytes...\n",index.nbytes)

# get the dimensions of the data
print("\nReturn the dimensions...\n",index.ndim)

# get the memory usage of the values
print("\nThe memory usage...\n",index.memory_usage())

Output

This will produce the following code −

Pandas Index...
Int64Index([15, 25, 35, 45, 55], dtype='int64')

Number of elements in the index...
5

A tuple of the shape of underlying data...
(5,)

Return the bytes...
40

Return the dimensions...
1

The memory usage...
40