Normalize data in pandas dataframe

Question

I would like to normalise this value in the range of 0 to 100. I have these values in a pandas dataframe.

    Latitude    Longitude
    25.436596   -100.887300
    25.436596   -100.887700
    25.436493   -100.887421
    25.436570   -100.887344
    25.436596   -100.887321

I am able to normalize the data between -1 to 1 using

    df_norm1 = (df - df.mean()) / (df.max() - df.min())

Can I normalise the same data in the range of 0 to 100. Any help would be greatly appreciated.

When `df.max()` is equal to `df.min()`, such normalization failed. — Douglas Huang, Apr 26 '17 at 12:29
Does this answer your question? [Normalize data in pandas](https://stackoverflow.com/questions/12525722/normalize-data-in-pandas) — sophros, Feb 05 '20 at 15:23

score 4 · Accepted Answer · answered Dec 19 '16 at 16:19

4

Change it to:

100 * (df - df.min()) / (df.max() - df.min())

The (df - df.min()) / (df.max() - df.min()) part is min-max normalization where the new scale is [0, 1]. If you multiply that with 100, you get your desired range.

answered Dec 19 '16 at 16:19

ayhan

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Normalize data in pandas dataframe

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