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Graphing in Python

Programming

2022-03-28

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Lessons List

Matplotlib Tutorial 1 Introduction and Line

Matplotlib Tutorial 2 Legends titles and labels

Matplotlib Tutorial 3 bar charts and histograms

Matplotlib Tutorial 4 Scatter Plots

Matplotlib Tutorial 5 stack plots

Matplotlib Tutorial 6 Pie Charts

Matplotlib Tutorial 7 loading data from files

Matplotlib Tutorial 8 getting data from the internet

Matplotlib Tutorial 9 converting data from the internet

Matplotlib Tutorial 10 basic customizations rotating labels

Matplotlib Tutorial 11 handling unix time

Matplotlib Tutorial 12 more customization of colors and fills

Matplotlib Tutorial 13 spines and horizontal lines

Matplotlib Tutorial 14 candlestick OHLC graphs

Matplotlib Tutorial 15 styles

Matplotlib Tutorial 16 Live graphs

Matplotlib Tutorial 17 annotations and placing text

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

Matplotlib Tutorial 19 subplots

Matplotlib Tutorial 20 implementing subplots to our stock chart

Matplotlib Tutorial 21 adding more indicator data to our charts

Matplotlib Tutorial 22 cleaning chart custom fills pruning

Matplotlib Tutorial 23 sharex axis

Matplotlib Tutorial 24 multi y axis plotting volume on stock chart

Matplotlib Tutorial 25 customizing Matplotlib Legends

Matplotlib Tutorial 26 Basemap intro

Matplotlib Tutorial 27 Basemap customization options

Matplotlib Tutorial 28 plotting coordinates on a map with Basemap

Matplotlib Tutorial 29 matplotlib 3d intro

Matplotlib Tutorial 30 3d scatter plot

Matplotlib Tutorial 31 3d bar charts

Matplotlib Tutorial 32 conclusion

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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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