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pandas.DataFrame.squeeze. #. DataFrame.squeeze(axis=None) [source] #. Squeeze 1 dimensional axis objects into scalars. Series or DataFrames with a single element are squeezed to a scalar. DataFrames with a single column or a single row are squeezed to a Series.
Squeeze the DataFrame into a Series: import pandas as pd. data = {. "age": [50, 40, 30, 40, 20, 10, 30] } df = pd.DataFrame (data) s = df.squeeze () Try it Yourself ».
20 lut 2024 · Among its versatile set of features, the squeeze() method is notably efficient for reducing the dimensionality of DataFrame objects in certain conditions. This tutorial delves into the nuances of the squeeze() method with five illustrative examples, ranging from basic to advanced applications.
Series.squeeze(axis=None) [source] #. Squeeze 1 dimensional axis objects into scalars. Series or DataFrames with a single element are squeezed to a scalar. DataFrames with a single column or a single row are squeezed to a Series. Otherwise the object is unchanged.
DataFrame.squeeze(axis=None) [source] ¶. Squeeze 1 dimensional axis objects into scalars. Series or DataFrames with a single element are squeezed to a scalar. DataFrames with a single column or a single row are squeezed to a Series. Otherwise the object is unchanged.
29 wrz 2024 · This example demonstrates how to create a DataFrame with a single column and use the squeeze method to convert it into a Series. # Creating a DataFrame with a single column df_single_col = pd.DataFrame({'D': [4], 'E': [5], 'F': [6]}) # Squeezing the DataFrame squeezed_series_col = df_single_col.squeeze() print(squeezed_series_col)
19 lip 2022 · Among the first things he does is read_csv on the file path and then use squeeze=True to read it as a Series. Unfortunately (and as you probably know), squeeze has been depricated from read_csv. I've been reading documentation to figure out how to read a csv as a series, and everything I try fails.
