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 files, dates and times, correlations, plotting, and pivot tables
Get better at: CSV files, dates and times, correlations, plotting, and pivot tables
Get better at: CSV files, dates and times, filtering, regular expressions, correlations, and plotting
Get better at: CSV files, dates and times, filtering, regular expressions, correlations, and plotting
Get better at: String manipulation, working with dates, plotting, grouping, and pivot tables
Get better at: String manipulation, working with dates, plotting, grouping, and pivot tables
Get better at: String manipulation, working with multiple files, joins, grouping, and plotting
Get better at: String manipulation, working with multiple files, joins, grouping, and plotting
Get better at: Dates and times, memory optimization, plotting, and string manipulation
Get better at: Dates and times, memory optimization, plotting, and string optimization
Get better at: Multi-indexes, working with dates and times, pivot tables, plotting, and window functions
Get better at: Multi-indexes, working with dates and times, pivot tables, plotting, and window functions
