Graphing in Python Course

32 Lessons
8 Students
Certificate of completion

Track:

Programming

Graphs in Python can be plotted by using the Matplotlib library. Matplotlib library is mainly used for graph plotting. You need to install matplotlib before using it to plot graphs. Matplotlib is used to draw a simple line, bargraphs, histograms and piecharts .

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What You'll Learn

Create various types of graphs in Python using Matplotlib, including line plots, bar graphs, histograms, and pie charts
Apply Matplotlib functions to customize graph appearance, labels, titles, and legends for clear data visualization
Implement data plotting techniques to visualize trends, distributions, and proportions effectively in Python
Utilize Python code to generate accurate and visually appealing graphs for data analysis and presentation
Troubleshoot common errors in Matplotlib graph plotting to ensure smooth data visualization workflows
Integrate Matplotlib with other Python libraries like NumPy and Pandas for advanced data visualization tasks
Optimize graph readability and aesthetics to communicate insights clearly in Python data visualizations
Develop scripts to automate the creation of multiple graphs for large datasets in Python
Interpret graphical data representations to support decision-making and data-driven insights
Enhance Python programming skills by mastering graph plotting techniques with Matplotlib

Course Content

32 Lessons • 4 h 41 m total

Matplotlib Tutorial 1 Introduction and Line

9:27

Matplotlib Tutorial 2 Legends titles and labels

5:43

Matplotlib Tutorial 3 bar charts and histograms

11:20

Matplotlib Tutorial 4 Scatter Plots

5:55

Matplotlib Tutorial 5 stack plots

7:07

Matplotlib Tutorial 6 Pie Charts

6:04

Matplotlib Tutorial 7 loading data from files

8:59

Matplotlib Tutorial 8 getting data from the internet

12:08

Matplotlib Tutorial 9 converting data from the internet

8:02

Matplotlib Tutorial 10 basic customizations rotating labels

9:29

Matplotlib Tutorial 11 handling unix time

7:23

Matplotlib Tutorial 12 more customization of colors and fills

10:02

Matplotlib Tutorial 13 spines and horizontal lines

7:10

Matplotlib Tutorial 14 candlestick OHLC graphs

10:09

Matplotlib Tutorial 15 styles

7:48

Matplotlib Tutorial 16 Live graphs

8:40

Matplotlib Tutorial 17 annotations and placing text

11:09

Matplotlib Tutorial 18 annotating last price to edge of matplotlib graph example

9:20

Matplotlib Tutorial 19 subplots

12:38

Matplotlib Tutorial 20 implementing subplots to our stock chart

5:35

Matplotlib Tutorial 21 adding more indicator data to our charts

13:14

Matplotlib Tutorial 22 cleaning chart custom fills pruning

9:57

Matplotlib Tutorial 23 sharex axis

6:15

Matplotlib Tutorial 24 multi y axis plotting volume on stock chart

11:15

Matplotlib Tutorial 25 customizing Matplotlib Legends

11:31

Matplotlib Tutorial 26 Basemap intro

9:46

Matplotlib Tutorial 27 Basemap customization options

13:02

Matplotlib Tutorial 28 plotting coordinates on a map with Basemap

8:29

Matplotlib Tutorial 29 matplotlib 3d intro

4:14

Matplotlib Tutorial 30 3d scatter plot

3:54

Matplotlib Tutorial 31 3d bar charts

8:50

Matplotlib Tutorial 32 conclusion

6:36

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Graphing in Python Course Description

Graphs in Python can be plotted by using the Matplotlib library. Matplotlib library is mainly used for graph plotting. You need to install matplotlib before using it to plot graphs. Matplotlib is used to draw a simple line, bargraphs, histograms and piecharts .

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