How to use the map function in pandas dataframe
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the `map` function in pandas is used to transform values in a dataframe column based on a mapping dictionary or a function. it is a convenient way to apply a transformation to each element in a column.
here is a step-by-step tutorial on how to use the `map` function in pandas dataframe:
1. import the necessary libraries:
2. create a sample dataframe:
3. define a mapping dictionary or a function that you want to apply to the dataframe column:
4. use the `map` function to apply the mapping dictionary or function to a specific column in the dataframe:
5. print the updated dataframe to see the transformation:
here is the complete code example with the output:
output:
in this example, we used the `map` function to apply a mapping dictionary and a mapping function to the 'b' column in the dataframe. the transformed values were stored in new columns 'c' and 'd'.
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