Loop & Iterate Through pandas DataFrame Columns in Python (Example Code)

import pandas as pd                        # Import pandas

import pandas as pd # Import pandas

my_df = pd.DataFrame({'A':range(8, 14),    # Construct pandas DataFrame
                      'B':['x', 'y', 'y', 'y', 'x', 'x'],
                      'C':range(15, 9, - 1)})
print(my_df)
#     A  B   C
# 0   8  x  15
# 1   9  y  14
# 2  10  y  13
# 3  11  y  12
# 4  12  x  11
# 5  13  x  10

my_df = pd.DataFrame({'A':range(8, 14), # Construct pandas DataFrame 'B':['x', 'y', 'y', 'y', 'x', 'x'], 'C':range(15, 9, - 1)}) print(my_df) # A B C # 0 8 x 15 # 1 9 y 14 # 2 10 y 13 # 3 11 y 12 # 4 12 x 11 # 5 13 x 10

for column in my_df:                       # Run for loop over columns
    print(my_df[column])
# 0     8
# 1     9
# 2    10
# 3    11
# 4    12
# 5    13
# Name: A, dtype: int64
# 0    x
# 1    y
# 2    y
# 3    y
# 4    x
# 5    x
# Name: B, dtype: object
# 0    15
# 1    14
# 2    13
# 3    12
# 4    11
# 5    10
# Name: C, dtype: int64

for column in my_df: # Run for loop over columns print(my_df[column]) # 0 8 # 1 9 # 2 10 # 3 11 # 4 12 # 5 13 # Name: A, dtype: int64 # 0 x # 1 y # 2 y # 3 y # 4 x # 5 x # Name: B, dtype: object # 0 15 # 1 14 # 2 13 # 3 12 # 4 11 # 5 10 # Name: C, dtype: int64