Load & Import First Column from CSV File as pandas DataFrame in Python (Example Code)

In this Python tutorial you’ll learn how to read only the first column of a CSV file as a new pandas DataFrame.

Setting up the Example

import pandas as pd                                     # Import pandas library
my_df = pd.DataFrame({'A':range(100, 105),              # Construct new pandas DataFrame
                      'B':[9, 3, 7, 1, 2],
                      'C':['a', 'f', 'c', 'f', 'f'],
                      'D':range(35, 30, - 1)})
print(my_df)
#      A  B  C   D
# 0  100  9  a  35
# 1  101  3  f  34
# 2  102  7  c  33
# 3  103  1  f  32
# 4  104  2  f  31
my_df.to_csv('my_df.csv')                               # Write exemplifying DataFrame to folder

Example: Read First pandas DataFrame from CSV File

my_df_load = pd.read_csv('my_df.csv', usecols = ['A'])  # Import CSV & print output
print(my_df_load)
#      A
# 0  100
# 1  101
# 2  102
# 3  103
# 4  104

Further Resources & Related Articles

Below, you may find some further resources on topics such as data conversion, extracting data, and lists.

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