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Fixing the Columns

Explore techniques to fix and standardize DataFrame column names using Python pandas. Learn to remove spaces, convert to lowercase, and replace characters in column names to make your dataset easier to reference and analyze effectively.

Understanding the dataset's columns

As a first step when cleaning data, we retrieve the columns and apply standard data wrangling techniques. The goal is to ensure column names are easy to read and reference later during analysis.

Python 3.8

Let’s review the code line by line:

  • Line 1: We import the pandas library.

  • Line 2: We load the employees.csv dataset.

  • Line 3: We retrieve column names from a DataFrame using the columns property and print them using the print() function.

As we can see, the output comprises a list of the DataFrame column names. We can also see that the columns HEIGHT, WEIGHT, and ACCOUNT A have spaces as part of the column names. We'll remove these spaces in the next section.

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