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: Excel files, multiple files, pivot tables, grouping, dates and times, and plotting
Get better at: Excel files, multiple files, pivot tables, grouping, dates and times, and plotting
Get better at: Excel files, regular expressions, optimizing speed, PyArrow, grouping, joining, and plotting.
Get better at: Excel files, regular expressions, optimizing speed, PyArrow, grouping, joining, and plotting.
Get better at: Excel files, cleaning data, regular expressions, multi-indexes, and plotting
Get better at: Excel files, cleaning data, regular expressions, multi-indexes, and plotting
Get better at: Excel files, dates and times, plotting, and creating pivot tables
Get better at: Excel files, dates and times, plotting, and creating pivot tables
Get better at: Excel files, dates and times, correlations, plotting with Seaborn, and window functions
Get better at: Excel files, dates and times, correlations, plotting with Seaborn, and window functions
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
