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Removing and Replacing | Preprocessing Data: Part II
Analyzing and Visualizing Real-World Data
course content

Зміст курсу

Analyzing and Visualizing Real-World Data

Removing and Replacing

As mentioned previously, there are two ways to perform removing or replacing operations. Since we used the .str accessor two chapters ago, let's use a lambda function this time.

Завдання

  1. Define a lambda function with a single argument x that will:
    • Remove the '$' characters starting from the left (using the .lstrip() method);
    • Replace all blank spaces (' ') with empty strings ('') (using the .replace() method);
    • Assign the function to the rmv_rpl variable.
  2. Apply the rmv_rpl function to the 'Weekly_Sales' column using the .apply() method and convert it to the float data type.

Завдання

  1. Define a lambda function with a single argument x that will:
    • Remove the '$' characters starting from the left (using the .lstrip() method);
    • Replace all blank spaces (' ') with empty strings ('') (using the .replace() method);
    • Assign the function to the rmv_rpl variable.
  2. Apply the rmv_rpl function to the 'Weekly_Sales' column using the .apply() method and convert it to the float data type.

Все було зрозуміло?

Секція 2. Розділ 2
toggle bottom row

Removing and Replacing

As mentioned previously, there are two ways to perform removing or replacing operations. Since we used the .str accessor two chapters ago, let's use a lambda function this time.

Завдання

  1. Define a lambda function with a single argument x that will:
    • Remove the '$' characters starting from the left (using the .lstrip() method);
    • Replace all blank spaces (' ') with empty strings ('') (using the .replace() method);
    • Assign the function to the rmv_rpl variable.
  2. Apply the rmv_rpl function to the 'Weekly_Sales' column using the .apply() method and convert it to the float data type.

Завдання

  1. Define a lambda function with a single argument x that will:
    • Remove the '$' characters starting from the left (using the .lstrip() method);
    • Replace all blank spaces (' ') with empty strings ('') (using the .replace() method);
    • Assign the function to the rmv_rpl variable.
  2. Apply the rmv_rpl function to the 'Weekly_Sales' column using the .apply() method and convert it to the float data type.

Все було зрозуміло?

Секція 2. Розділ 2
toggle bottom row

Removing and Replacing

As mentioned previously, there are two ways to perform removing or replacing operations. Since we used the .str accessor two chapters ago, let's use a lambda function this time.

Завдання

  1. Define a lambda function with a single argument x that will:
    • Remove the '$' characters starting from the left (using the .lstrip() method);
    • Replace all blank spaces (' ') with empty strings ('') (using the .replace() method);
    • Assign the function to the rmv_rpl variable.
  2. Apply the rmv_rpl function to the 'Weekly_Sales' column using the .apply() method and convert it to the float data type.

Завдання

  1. Define a lambda function with a single argument x that will:
    • Remove the '$' characters starting from the left (using the .lstrip() method);
    • Replace all blank spaces (' ') with empty strings ('') (using the .replace() method);
    • Assign the function to the rmv_rpl variable.
  2. Apply the rmv_rpl function to the 'Weekly_Sales' column using the .apply() method and convert it to the float data type.

Все було зрозуміло?

As mentioned previously, there are two ways to perform removing or replacing operations. Since we used the .str accessor two chapters ago, let's use a lambda function this time.

Завдання

  1. Define a lambda function with a single argument x that will:
    • Remove the '$' characters starting from the left (using the .lstrip() method);
    • Replace all blank spaces (' ') with empty strings ('') (using the .replace() method);
    • Assign the function to the rmv_rpl variable.
  2. Apply the rmv_rpl function to the 'Weekly_Sales' column using the .apply() method and convert it to the float data type.

Секція 2. Розділ 2
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