[Statistics question]: Selecting columns

[haesleinhuepf]

Question:

Assume I have a dataframe with many many columns and I would like to derive a new dataframe with only a selection of columns. The selection should be specified with a starting and an ending column. E.g. in dataframe with columns A,B,C, ....X, Y, Z I would like to get a new dataframe with columns from C to G.

Python Tools

• List of Python libraries we should use for answering this:
  • pandas

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To select a range of columns from a pandas DataFrame using a starting and ending column name, you can use the .loc accessor. Here is a code snippet demonstrating how to achieve this:

import pandas as pd

# Example DataFrame
data = {
    'A': [1, 2, 3],
    'B': [4, 5, 6],
    'C': [7, 8, 9],
    'D': [10, 11, 12],
    'E': [13, 14, 15],
    'F': [16, 17, 18],
    'G': [19, 20, 21],
    'H': [22, 23, 24],
    'I': [25, 26, 27],
    'J': [28, 29, 30]
}

df = pd.DataFrame(data)

# Selecting columns from 'C' to 'G'
selected_columns_df = df.loc[:, 'C':'G']

print(selected_columns_df)

This will create a new DataFrame containing only the columns from 'C' to 'G'. Make sure your DataFrame column names are unique and ordered as desired.