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With this DataFrame, how can I conditionally set rating to 0 when line_race is equal to zero?
line_track line_race rating foreign 25 MTH 10 84 False 26 MTH 6 88 False 27 TAM 5 87 False 28 GP 2 86 False 29 GP 7 59 False 30 LCH 0 103 True 31 LEO 0 125 True 32 YOR 0 126 True 33 ASC 0 124 True In other words, what is the proper way on a DataFrame to say if ColumnA = x then ColumnB = y else ColumnB = ColumnB
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To update a dataframe value from another dataframe, create a separate DataFrame for a similar row and then we will rest the index of the first DataFrame with the column of the second DataFrame.
Suppose that you want to replace multiple values with multiple new values for an individual DataFrame column. In that case, you may use this template: df['column name'] = df['column name']. replace(['1st old value', '2nd old value', ...], ['1st new value', '2nd new value', ...])
With the Python iloc() method, it is possible to change or update the value of a row/column by providing the index values of the same. In this example, we have updated the value of the rows 0, 1, 3 and 6 with respect to the first column i.e. 'Num' to 100.
df.loc[df['line_race'] == 0, 'rating'] = 0 If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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