2. Loading and Processing Data

Activity 2.01: Loading Tabular Data and Rescaling Numerical Fields with a MinMax Scaler

Solution:

1. Open a new Jupyter notebook to implement this activity. Save the file as Activity2-01.ipnyb.
2. In a new Jupyter Notebook cell, import the pandas library, as follows:

   import pandas as pd

3. Create a new pandas DataFrame named df and read the Bias_correction_ucl.csv file into it. Examine whether your data is properly loaded by printing the resultant DataFrame:

   df = pd.read_csv('Bias_correction_ucl.csv')

   Note

   Make sure you change the path (highlighted) to the CSV file based on its location on your system. If you're running the Jupyter notebook from the same directory where the CSV file is stored, you can run the preceding code without any modification.

4. Drop the date column using the drop method. Since you're dropping the columns, pass 1 to the axis argument and True to the inplace argument:

   df.drop(&apos...