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, dates and times, multi-indexes, plotting, filtering, and grouping
Get better at: CSV, dates and times, multi-indexes, plotting, filtering, and grouping
Get better at: CSV, filtering, window functions, plotting, web scraping, regular expressions, index operations, correlations, joins
Get better at: CSV, filtering, window functions, plotting, web scraping, regular expressions, index operations, correlations, joins
Get better at: CSV files, grouping, stack and unstack, window functions, and plotting
Get better at: CSV files, grouping, stack and unstack, window functions, and plotting
Get better at: CSV, PyArrow, regular expressions, filtering, plotting, window functions, cutting, and pivot tables
Get better at: CSV, PyArrow, regular expressions, filtering, plotting, window functions, cutting, and pivot tables
Get better at: Excel, formatting, plotting, window-functions, using "apply", string functionality, grouping, and interpolation
Get better at: Excel, formatting, plotting, window-functions, using "apply", string functionality, grouping, and interpolation
Get better at: CSV, dates and times, plotting, grouping, multi-indexes, and stack-unstack.
Get better at: CSV, dates and times, plotting, grouping, multi-indexes, and stack-unstack.
