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Replacing Characters | Preprocessing Data: Part I
Analyzing and Visualizing Real-World Data

Replacing CharactersReplacing Characters

Just as we removed characters, there are also two ways to perform replacements: either by using the .str accessor or by using a lambda function. Since we are only performing the replacement for one column, let's use the first approach.

Task

  1. Replace the commas with dots in the 'CPI' column. Follow these steps:
    • Select the 'CPI' column;
    • Use the .str accessor;
    • Replace the ',' symbols with '.' using the .replace() method;
    • Convert the values to float type;
    • Assign the obtained result to the 'CPI' column.
  2. Display the first row of the df dataframe and data types of the df dataframe.

Everything was clear?

Section 1. Chapter 7
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course content

Course Content

Analyzing and Visualizing Real-World Data

Replacing CharactersReplacing Characters

Just as we removed characters, there are also two ways to perform replacements: either by using the .str accessor or by using a lambda function. Since we are only performing the replacement for one column, let's use the first approach.

Task

  1. Replace the commas with dots in the 'CPI' column. Follow these steps:
    • Select the 'CPI' column;
    • Use the .str accessor;
    • Replace the ',' symbols with '.' using the .replace() method;
    • Convert the values to float type;
    • Assign the obtained result to the 'CPI' column.
  2. Display the first row of the df dataframe and data types of the df dataframe.

Everything was clear?

Section 1. Chapter 7
toggle bottom row
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