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Python Pandas - Return the memory usage of the Index values
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
Updated on: 13-Oct-2021
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