You can use the following methods to print one column of a pandas DataFrame:

Method 1: Print Column Without Header

print(df['my_column'].to_string(index=False))

Method 2: Print Column With Header

print(df[['my_column']].to_string(index=False)) 

The following examples show how to use each method in practice with the following pandas DataFrame:

import pandas as pd

#create DataFrame
df = pd.DataFrame({'points': [25, 12, 15, 14, 19, 23, 25, 29, 32],
                   'assists': [5, 7, 7, 9, 12, 9, 9, 4, 5],
                   'rebounds': [11, 8, 10, 6, 6, 5, 9, 12, 8]})

#view DataFrame
print(df)

   points  assists  rebounds
0      25        5        11
1      12        7         8
2      15        7        10
3      14        9         6
4      19       12         6
5      23        9         5
6      25        9         9
7      29        4        12
8      32        5         8

Example 1: Print Column Without Header

The following code shows how to print the values in the points column without the column header:

#print the values in the points column without header
print(df['points'].to_string(index=False))

25
12
15
14
19
23
25
29

By using the to_string() function, we are able to print only the values in the points column without the column header or the row index values.

Example 2: Print Column With Header

The following code shows how to print the values in the points column with the column header:

#print the values in the points column with column header
print(df[['points']].to_string(index=False))

 points
     25
     12
     15
     14
     19
     23
     25
     29
     32

Notice that the values in the points column along with the column header are printed.

Note: The only difference between this example and the previous one is that we used double brackets around the column name, which allowed us to print the column header along with the values.