rename multiple value in column in pandas

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df['column name'] = df['column name'].replace(['1st old value','2nd old value',...],'new value')

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Source: datatofish.com

Tags: multiple-value pandas python rename

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Contributed on Jul 01 2022

Rahul Shah

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pandas rename multiple columns

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import pandas as pd

# Create a DataFrame
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]})

# Rename multiple columns
df.rename(columns={'A': 'NewNameA', 'B': 'NewNameB'}, inplace=True)

# Print the DataFrame with renamed columns
print(df)

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Source: Grepper

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Contributed on Sep 12 2023

YOU.com

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renaming multiple columns in pandas

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[df.rename(columns={df.columns[j]: COLUMNS[j]}, inplace=True) for j in range(df.shape[1])]

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Source: Grepper

Tags: multiple-columns mult

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Contributed on Jun 07 2022

AMi

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pandas rename multiple columns

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# df is a pandas DataFrame

for col_name in df.columns:
  # you can specify conditions if you need 
  # to change the name of some column only
  df = df.rename(columns = {col_name:new_col_name}

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Source: Grepper

Tags: multiple-columns mult

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Contributed on May 31 2021

wolf-like_hunter

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rename columns multiple dataframes

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for df in dfs:
    df.columns = ['column1','column2']

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Source: stackoverflow.com

Tags: python rename

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Contributed on Dec 15 2022

Naughty Nightingale

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rename multiple value in column in pandas

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