Question

if you only wanted to examine the numeric data attributes for the gears, ignoring any columns containing non-numeric or id values, how would you reduce the columns in your data frame?

Answer 1

To examine only numeric data attributes for the gears and ignore non-numeric or id values, you can use the pandas function select_dtypes. This function allows you to select columns in a DataFrame based on their dtype, and by specifying the dtypes as 'int64' and 'float64', you can create a new DataFrame containing only the numeric data.

Step-by-step explanation:

To examine only the numeric data attributes for the gears and reduce the columns in your data frame, you can use the select_dtypes function from pandas, a popular data manipulation library in python. This function allows you to include or ignore columns in your DataFrame based on their dtype. Here is an example of how to use it:

import pandas as pd
df = pd.DataFrame(data)
numeric_df = df.select_dtypes(include=['int64', 'float64'])

In this code, df is your original data frame, and numeric_df is the new data frame that includes only the numeric columns from df. The parameters passed to include=['int64', 'float64'] specify the data types that you want to include in the new data frame, which in this case are integers and floats representing numeric data.

Learn more about select_dtypes