Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Python for Data Visualization: The Complete Masterclass
Setup & Installation
01. Installing Anaconda Navigator (6:35)
02. Installing Matplotlib, seaborn and cufflinks.tscproj (3:02)
03. Reading data from a csv file with pandas (2:40)
04. Explaining Matplotlib libraries apart (6:43)
Plotting Line Plots with matplotlib
05. Changing the axis scales (5:49)
06. Label Styling (4:08)
07. Adding a Legend (4:13)
09. Adding a grid to the chart (3:54)
8.1 Changing colors, linestyles, linewidth and markers gd (9:18)
9.1 Filling only a specific area (6:37)
9.2 Filling area on line plots and filling only specific area (3:53)
9.3 Changing fill color of different areas (negative vs positive for example (2:53)
Plotting Histograms & Bar Charts with matplotlib
12. Adding legends, titles, location and rotating pie chart (5:46)
11. changing edge color and adding shadow on the edge (3:45)
13. Histograms vs Bar charts (Part 1) (3:02)
14. Histograms vs Bar charts (Part 2) (1:38)
15. Changing edge color of the histogram (2:48)
16. Changing the axis scale to log scale (6:33)
17. Adding median to histogram (3:46)
17.R1. Adding median to histogram (3:46)
18. Advanced Histograms and Patches (-Part 1) (3:38)
19. Advanced Histograms and Patches (Part 2) (4:39)
20. Overlaying bar plots on top of each other (Part 1) (4:10)
21. Overlaying bar plots on top of each other (Part 2) (1:22)
22. Creating Box and Whisker Plots (11:18)
Plotting Stack Plots & Stem Plots
23. Plotting a basic stack plot (Part 1) (12:54)
24. Plotting a stem plot (4:43)
25. Plotting a stack plot od data with constant total (4:24)
Plotting Scatter Plots with matplotlib
27. Changing the size of the dots (6:26)
26. Plotting a basic scatter plot (5:49)
28. Changing colors of markers (5:16)
29. Adding edges to dots (3:37)
Time Series Data Visualization with matplotlib
31. Connecting data points by line (4:05)
30. Using the Python datetime module (3:10)
32. Converting string dates using the .to_datetime() pandas method (4:31)
33. Plotting live data using FuncAnimation in matplotlib (3:47)
Creating multiple subplots
34. Setting up the number of rows and columns (3:44)
35. Plotting multiple plots in one figure (2:27)
36. Getting separate figures (3:02)
37. Saving figures to your computer (2:51)
Plotting charts using seaborn
38. Introduction to seaborn (1:32)
39. Working on hue, style and size in seaborn (5:11)
40. Subplots using seaborn (4:54)
41. Line plots (1:47)
42. Cat plots (2:58)
43. Jointplot, pair plot and régression plot (2:20)
44. Controlling plotted figures aesthetics (3:14)
Plotly and Cufflinks
45. Installation and setup of plot ly (1:45)
46. Line, Scatter, Bar, box and area plot (6:39)
47. 3D plots, spread plot and hist plot, bubble plot, and heatmap (6:59)
39. Working on hue, style and size in seaborn
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock