Pandas allows us to create a number of different plot types, using an API that wraps around Matplotlib. We can create line, bar, pie, scatter, and box plots, among others.
Get better at: CSV, filtering, regular expressions, multiple files, index operations, window functions, stack and unstack, multi-indexes, and plotting
Get better at: Excel files, multiple files, pivot tables, plotting, and missing data.
Get better at: Excel files, multiple files, pivot tables, plotting, and missing data.
Get better at: APIs, comprehensions, plotting, strings, dates and times, and joins
Get better at: APIs, comprehensions, plotting, strings, dates and times, and joins
Get better at: CSV files, PyArrow, multi-indexes, index operations, plotting, grouping, sorting, correlations, and joins.
Get better at: CSV files, PyArrow, multi-indexes, index operations, plotting, grouping, sorting, correlations, and joins.
Get better at: Web scraping, string operations, dates and times, regular expressions, filtering, grouping, and plotting.
Get better at: Web scraping, string operations, dates and times, regular expressions, filtering, grouping, and plotting.
Get better with: Extracting from PDF files, multi-indexes, comprehensions, cleaning data, regular expressions, using "apply", plotting, and finding correlations.
Get better with: Extracting from PDF files, multi-indexes, comprehensions, cleaning data, regular expressions, using "apply", plotting, and finding correlations.
Get better with: CSV files, dates and times, plotting, pivot tables, and the "where" method
