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()find max in a dataframe
max_value = df.to_numpy().max()pandas find column with max value for each row
# credit to Stack Overflow in the source link
df.head()
Communications and Search Business General Lifestyle
0 0.745763 0.050847 0.118644 0.084746
0 0.333333 0.000000 0.583333 0.083333
0 0.617021 0.042553 0.297872 0.042553
0 0.435897 0.000000 0.410256 0.153846
0 0.358974 0.076923 0.410256 0.153846
df.idxmax(axis=1)
0 Communications
1 Business
2 Communications
3 Communications
4 Business
dtype: objectCopyright © 2021 Codeinu
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