If the value is a number between x and y, change it to z (pd df)

Question

Consider:

data.loc[data.cig_years (10 < a < 20), 'cig_years'] = 1

This is the code I have tried, but it’s not working. In pseudocode I want:

In the df 'data'
    In the column 'cig_years'
        If the value is a number between 10 and 20, change it to 1

Is there a Pythonic way of doing this? Preferably without for loops.

Asked By: user19634316

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Source

Answer 1

I got you. You can filter pandas dataframes with square brackets []:

data['cig_years'] [ (data['cig_years']>10) | (data['cig_years']<20) ] = 1

This basically says:

The columns ‘cig_years’ in data, where the columns ‘cig_years’ is more than 10, or less than, is set equal to 1

This is super useful in pandas dataframes because you can filter for specific columns, or filter by conditions on other columns, and then set those filtered values.

Answered By: Christian Trujillo

Answer 2

You need to use your dataframe name "data" and change it using .loc like below:

data.loc[10 < data['cig_years'] < 20, 'cig_years'] = 1

Answered By: hofe

Answer 3

You could also use an np.where statement
This statement assumes you are going to leave the cig years alone if it is not between 10 and 20

np.where(10 < data['cig_years'] < 20, 1, data['cig_years'])

Answered By: Caden

If the value is a number between x and y, change it to z (pd df)

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