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  3. Streamlined Data Ingestion with pandas

Exercise

Load a portion of a spreadsheet

Spreadsheets meant to be read by people often have multiple tables, e.g., a small business might keep an inventory workbook with tables for different product types on a single sheet. Even tabular data may have header rows of metadata, like the New Developer Survey data here. While the metadata is useful, we don't want it in a dataframe. You'll use read_excel()'s skiprows keyword to get just the data. You'll also create a string to pass to usecols to get only columns AD and AW through BA, about future job goals.

pandas has been imported as pd.

Instructions

100 XP
  • Create a single string, col_string, specifying that pandas should load column AD and the range AW through BA.
  • Load fcc_survey_headers.xlsx', setting skiprows and usecols to skip the first two rows of metadata and get only the columns in col_string.
  • View the selected column names in the resulting dataframe.