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Returning the number of array dimension of a DataFrame in Pandas
Onyejiaku Theophilus ChidaluOverview
The DataFrame.ndim attribute in Pandas library returns the number (an int) representing the number of array dimensions of a given series or DataFrame.
Syntax
The DataFrame.ndim attribute takes the following syntax:
DataFrame.ndim
Syntax for the DataFrame.ndim attribute in Pandas
Parameter value
The DataFrame.ndim being an attribute takes no parameter value.
Return value
The DataFrame.ndim attribute returns an int value 1 if the input data is series and a value of 2 if otherwise.
Example
import pandas as pd
# creating a dataframe
a = pd.DataFrame({'AGE': [ 20, 29],
'HEIGHT': [94, 170],
'WEIGHT': [80, 115]})
# creating a series
b = pd.Series({'a': 1, 'b': 2, 'c': 3})
# implemnting the DataFrame.ndim attribute
print(a.ndim)
print(b.ndim)Implementing the DataFrame.ndim attribute
Explanation
- Line 1: We import the
pandasmodule. - Line 4–6: We create a data frame,
a. - Line 9: We create a series,
b. - Line 12: We obtain the number of array dimension of
aand print the result to the console. - Line 13: We obtain the number of array dimension of
band print the result to the console.
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