minimum and max value in all columns pandas
#for multiple columns
min_vals = df[["A","B","C"]].min() #can add how much ever columns
max_vals = df[["D","E","F"]].max() #can add how much ever columns
#for single column
min_val = df["Column"].min()
max_val = df["Column"].max()
#to refer to all columns
min_val = df[:].min()
max_val = df[:].max()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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