Range all columns of df such that the minimum value in each column is 0 and max is 1. in pandas
import pandas as pd
df = pd.DataFrame(np.random.randint(1,100, 80).reshape(8, -1))
out = df.apply(lambda x:((x.max()-x)/(x.max()-x.min())).round(2))Range all columns of df such that the minimum value in each column is 0 and max is 1. in pandas
import pandas as pd
df = pd.DataFrame(np.random.randint(1,100, 80).reshape(8, -1))
out = df.apply(lambda x:((x.max()-x)/(x.max()-x.min())).round(2))Range all columns of df such that the minimum value in each column is 0 and max is 1. in pandas
import pandas as pd
df = pd.DataFrame(np.random.randint(1,100, 80).reshape(8, -1))
out = df.apply(lambda x:((x.max()-x)/(x.max()-x.min())).round(2))Copyright © 2021 Codeinu
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