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Python Pandas - Return the Number of dimensions of the underlying data
To return the Number of dimensions of the underlying data, use the index.ndim property.
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 dimensions of the data −
print("\nReturn the dimensions...\n",index.ndim)
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 an array representing the data in the Index
print("\nArray...\n",index.values)
# 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)Output
This will produce the following code −
Pandas Index... Int64Index([15, 25, 35, 45, 55], dtype='int64') Array... [15 25 35 45 55] A tuple of the shape of underlying data... (5,) Return the bytes... 40 Return the dimensions... 1
Updated on: 13-Oct-2021
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