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 min and max from dataframe column
max_value = column.max()python - extract min and max values per each column name
# show me the column names --> predictors
cols = [x for in df.columns if not in ('resp_var', 'name')]; cols
# extract the min and max values per each predictors
print("{")
for i, name in enumerate(cols):
print(f'"{name}":{{"min":{df[name].min()}, "max":{df[name].max()}}} {"," if i>(len(col)-1) else ""}')
print("}")Copyright © 2021 Codeinu
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