Course Description
-
Installing the Anaconda Navigator
00:07:00 -
Installing Matplotlib, seaborn & cufflinks
00:03:00 -
Reading data from a csv file with pandas
00:03:00 -
Explaining Matplotlib libraries apart
00:07:00
-
Changing the axis scales
00:06:00 -
Label Styling
00:04:00 -
Adding a legend
00:04:00 -
Changing colors, linestyles, linewidth and markers
00:09:00 -
Adding a grid to the chart
00:04:00 -
Filling only a specific area
00:07:00 -
Filling area on line plots and filling only specific area
00:04:00 -
Changing fill color of different areas (negative vs positive for example)
00:03:00
-
Changing edge color and adding shadow on the edge
00:04:00 -
Adding legends, titles, location and rotating pie chart
00:06:00 -
Histograms vs Bar charts (Part 1)
00:03:00 -
Histograms vs Bar charts (Part 2)
00:02:00 -
Changing edge colour of the histogram
00:03:00 -
Changing the axis scale to log scale
00:07:00 -
Adding median to histogram
00:04:00 -
Advanced Histograms and Patches (Part 1)
00:04:00 -
Advanced Histograms and Patches (Part 2)
00:05:00 -
Overlaying bar plots on top of each other (Part 1)
00:04:00 -
Overlaying bar plots on top of each other (Part 2)
00:01:00 -
Creating Box and Whisker Plots
00:11:00
-
Plotting a basic stack plot
00:13:00 -
Plotting a stem plot
00:05:00 -
Psychological Disorders
01:00:00
-
Plotting a basic scatter plot
00:06:00 -
Changing the size of the dots
00:06:00 -
Changing colors of markers
00:05:00 -
Adding edges to dots
00:04:00
-
Using the Python datetime module
00:03:00 -
Connecting data points by line
00:04:00 -
Converting string dates using the .to_datetime() pandas method
00:05:00 -
Plotting live data using FuncAnimation in matplotlib
00:04:00
-
Setting up the number of rows and columns
00:04:00 -
Plotting multiple plots in one figure
00:02:00 -
Getting separate figures
00:03:00 -
Saving figures to your computer
00:03:00
-
Introduction to seaborn
00:02:00 -
Working on hue, style and size in seaborn
00:05:00 -
Subplots using seaborn
00:05:00 -
Line plots
00:02:00 -
Cat plots
00:03:00 -
Jointplot, pair plot and regression plot
00:02:00 -
Controlling Plotted Figure Aesthetics
00:03:00
-
Installation and Setup
00:02:00 -
Line, Scatter, Bar, box and area plot
00:07:00 -
3D plots, spread plot and hist plot, bubble plot, and heatmap
00:07:00
Course Reviews
No Reviews found for this course.
Comming Soon!