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TypeError: unhashable type: 'Series'

YOU.com answered on September 12, 2023 Popularity 8/10 Helpfulness 3/10

answer TypeError: unhashable type: 'Series'

TypeError: unhashable type: 'Series'

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import pandas as pd

# Assuming you have a DataFrame with a column named 'series_col' containing Series objects
df = pd.DataFrame({'series_col': [pd.Series([1, 2, 3]), pd.Series([4, 5, 6])]})

# Convert Series objects to tuples using apply and lambda function
df['series_col'] = df['series_col'].apply(lambda x: tuple(x))

# Now you can perform operations that require hashable types on the 'series_col'
# For example, sorting the dataframe based on the 'series_col' column
df = df.sort_values('series_col')

# Alternatively, if you don't need to keep the original 'series_col' column as Series objects,
# you can convert them to lists using apply and lambda function
df['series_col'] = df['series_col'].apply(lambda x: list(x))

# Now you can perform operations that require hashable types on the 'series_col'
# For example, sorting the dataframe based on the 'series_col' column
df = df.sort_values('series_col')

Popularity 8/10 Helpfulness 3/10 Language python

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Contributed on Sep 12 2023

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TypeError: unhashable type: 'Series'

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