The method for altering a pandas dataframe one slice at a time is to use the loc method. The loc method allows you to access a subset of the dataframe by specifying the row and column labels. You can then modify the values in the subset using standard assignment statements.
For example, let's say you have a dataframe called df and you want to change the value of a specific cell in the dataframe. You can do it as follows:
# create a dummy dataframe import pandas as pd df = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]}) # change the value at position (1, 'b') to 10 df.loc[1, 'b'] = 10
This will change the value at position (1, 'b') in the dataframe to 10. You can use similar syntax to modify a range of rows or columns. For example:
# change the values in column 'c' for rows 0 and 1 df.loc[0:1, 'c'] = [10, 20]
This will change the values in column 'c' for rows 0 and 1 to 10 and 20, respectively.
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Asked: 2022-05-26 11:00:00 +0000
Seen: 1 times
Last updated: Feb 08
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