Renaming columns in pandas dataframe using python

renaming columns in a pandas dataframe is a common operation when working with data analysis or data processing tasks. you can easily rename columns using the `rename()` method in pandas. this method allows you to provide a dictionary where the keys are the current column names and the values are the new column names.

here is a step-by-step tutorial on how to rename columns in a pandas dataframe:

1. import the pandas library:

2. create a sample dataframe:

3. rename columns using the `rename()` method:

4. display the updated dataframe:

this will output the following dataframe with the columns renamed:

in the `rename()` method, you can also use a function to change the column names. for example, you can convert all column names to uppercase using a lambda function:

you can also directly assign new column names to the `columns` attribute of the dataframe:

these are some of the ways you can rename columns in a pandas dataframe using python.

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#python columns rename
#python columns type
#python columns
#python columns names
#python columns have mixed types

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python columns type
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python columns names
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python columns to list
python columns to rows
python columns contains string
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python columnspan
python dataframe filter
python dataframe to list
python dataframe groupby
python dataframe to csv
python dataframe append
python dataframe
python dataframe rename column
python dataframe merge