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Pandas DataFrame | shape property

schedule Aug 12, 2023
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Pandas DataFrame.shape property returns the number of rows and columns in the DataFrame as a tuple.

Examples

Consider the following DataFrame:

df = pd.DataFrame({"A":[4,5],"B":[6,7],"C":[8,9]})
df
   A  B  C
0  4  6  8
1  5  7  9

Here's its shape property:

df.shape
(2, 3)

This means that our DataFrame has 2 rows and 3 columns.

To access the individual values, simply use [~] as you would for any tuple:

print("Rows:", df.shape[0])
print("Columns:", df.shape[1])
Rows: 2
Columns: 3
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Published by Isshin Inada
Edited by 0 others
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Official Pandas Documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.shape.html
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