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: JSON, cleaning data, dates and times, missing values, and plotting
Get better at: JSON, cleaning data, dates and times, missing values, and plotting
Get better at: Web scraping, regular expressions, joins, CSV, plotting, and pivot tables
Get better at: Web scraping, regular expressions, joins, CSV, plotting, and pivot tables
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
