Answers for "replace a minimum and maximum value in a df column in python"

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))