Course curriculum

    1. Course Introduction

    2. Hello World in Matplotlib

    3. Matplotlib Philosophy

    4. Numpy

    5. Lab: First Plot

    1. Multiple Curves

    2. Plotting from a File

    3. Scatter Plots

    4. Lab: Scatterplot from Pandas Dataframe

    5. The Bar Chart

    6. Plotting Multiple Bars

    7. Stacked Bars

    8. The Pie Chart

    9. Histograms

    10. BoxPlots

    11. Lab: Plotting Multiple Box Plots

    1. Color Basics

    2. Download Irix.txt

    3. Scatter Plot Color Parameter

    4. Lab: Scatter Plot Grey Scale From a File

    5. EdgeColor Parameter

    6. Adding Color to Bar Charts

    7. Lab: Bar Chart on Dependent Values

    8. Adding Color to a Pie Chart

    9. Boxplots and Color

    10. The Linestyle Parameter

    11. Lab: Controlling Pattern and Fill

    12. Markers

    13. Custom Markers

    14. Lab: Controlling Marker Frequency

    15. Color Customizations

    16. Saving a Graph to Disk

    1. Annotating Graphs

    2. Annotating an Axes

    3. Lab: Adding Text Anywhere

    4. Bounded Boxes

    5. Adding Arrows to a Chart

    6. Lab: Adding a Grid to a Chart

    7. Adding Ticks to a Chart

    8. Adding Ticks (The Easy Way)

    9. Lab: Labeling our Ticks

    1. Seaborn Introduction

    2. Lab: Exploring Color Themes

    3. Seaborn Factorplot

    4. Creating a Simple Colormap

    5. Plots for Different Contexts

    6. Lab: Controlling Font Size

    7. Core Seaborn Functions

    8. Set the Axes on a Boxplot

About this course

  • Free
  • 49 lessons
  • 0.5 hours of video content