Minimum & Maximum in Python – Get Min & Max in List & DataFrame (4 Examples)

my_lt = [10, 6, 2, 2, 15, 20, 3, 7, 4]      # Constructing a list in Python
print(my_lt)
# [10, 6, 2, 2, 15, 20, 3, 7, 4]

my_lt = [10, 6, 2, 2, 15, 20, 3, 7, 4] # Constructing a list in Python print(my_lt) # [10, 6, 2, 2, 15, 20, 3, 7, 4]

print(min(my_lt))                           # Computing the min of a list
# 2

print(min(my_lt)) # Computing the min of a list # 2

print(max(my_lt))                           # Computing the max of a list
# 20

print(max(my_lt)) # Computing the max of a list # 20

import pandas as pd                         # Import pandas

import pandas as pd # Import pandas

my_df = pd.DataFrame({'A':range(10, 17),    # Constructing a pandas DataFrame
                      'B':[6, 1, 8, 5, 3, 8, 9],
                      'C':range(2, 9),
                      'GRP':['gr1', 'gr2', 'gr1', 'gr3', 'gr1', 'gr2', 'gr3']})
print(my_df)
#     A  B  C  GRP
# 0  10  6  2  gr1
# 1  11  1  3  gr2
# 2  12  8  4  gr1
# 3  13  5  5  gr3
# 4  14  3  6  gr1
# 5  15  8  7  gr2
# 6  16  9  8  gr3

my_df = pd.DataFrame({'A':range(10, 17), # Constructing a pandas DataFrame 'B':[6, 1, 8, 5, 3, 8, 9], 'C':range(2, 9), 'GRP':['gr1', 'gr2', 'gr1', 'gr3', 'gr1', 'gr2', 'gr3']}) print(my_df) # A B C GRP # 0 10 6 2 gr1 # 1 11 1 3 gr2 # 2 12 8 4 gr1 # 3 13 5 5 gr3 # 4 14 3 6 gr1 # 5 15 8 7 gr2 # 6 16 9 8 gr3

print(my_df.min())                          # Computing the min of all columns
# A       10
# B        1
# C        2
# GRP    gr1
# dtype: object

print(my_df.min()) # Computing the min of all columns # A 10 # B 1 # C 2 # GRP gr1 # dtype: object

print(my_df.max())                          # Computing the max of all columns
# A       16
# B        9
# C        8
# GRP    gr3
# dtype: object

print(my_df.max()) # Computing the max of all columns # A 16 # B 9 # C 8 # GRP gr3 # dtype: object

print(my_df.groupby('GRP').min())           # Computing the column minima by group
#       A  B  C
# GRP          
# gr1  10  3  2
# gr2  11  1  3
# gr3  13  5  5

print(my_df.groupby('GRP').min()) # Computing the column minima by group # A B C # GRP # gr1 10 3 2 # gr2 11 1 3 # gr3 13 5 5

print(my_df.groupby('GRP').max())           # Computing the column maxima by group
#       A  B  C
# GRP          
# gr1  14  8  6
# gr2  15  8  7
# gr3  16  9  8

print(my_df.groupby('GRP').max()) # Computing the column maxima by group # A B C # GRP # gr1 14 8 6 # gr2 15 8 7 # gr3 16 9 8

print(my_df.min(axis = 1))                  # Computing the min of all rows
# 0    2
# 1    1
# 2    4
# 3    5
# 4    3
# 5    7
# 6    8
# dtype: int64

print(my_df.min(axis = 1)) # Computing the min of all rows # 0 2 # 1 1 # 2 4 # 3 5 # 4 3 # 5 7 # 6 8 # dtype: int64

print(my_df.max(axis = 1))                  # Computing the max of all rows
# 0    10
# 1    11
# 2    12
# 3    13
# 4    14
# 5    15
# 6    16
# dtype: int64

print(my_df.max(axis = 1)) # Computing the max of all rows # 0 10 # 1 11 # 2 12 # 3 13 # 4 14 # 5 15 # 6 16 # dtype: int64