A collection of 43 Python visual notes

Introduction to each article

Python visualization 43|「plotnine≈Python edition ggplot2」

• plotnine Is the layer graph syntax （The Grammar of Graphics） stay python In the implementation of , yes ggplot2 Of python edition , Usage and ggplot2 Almost the same as .

• ggplot2 The power of ：R Complete collection of basic and visualization tutorials

Python visualization |Matplotlib40-「LaTeX」 in Matplotlib and python

• There are many ways to add latex character 、 Mathematical formulas, etc .

Python visualization |Matplotlib39-Matplotlib 1.4W+ Word tutorial （ Collector's Edition ）

Python visualization |Matplotlib38-Matplotlib official Cheat sheet（ Part 1 ）

• Quickly master common drawing , There is nothing to say about the essence of the essence .

Python visualization |pygal37-pygal Usage and examples

• python Another visualization library for pygal, Focus on SVG chart , Good at interaction .

Python visualization 35|matplotlib&seaborn- Some useful diagrams

• common 50 Graphics are based on Matplotlib and Seaborn Realization 【 With code 】, Classified as 7 Categories: .

Python visualization 34|matplotlib- Multiple subgraphs ( Do whatever you want )

• A freewheeling jigsaw puzzle

Python visualization 33|matplotlib-rcParams And drawing style (style) Setup details

• Flexible use 「 Drawing style (style)「 And 」rcParams」 Set up

Python visualization 32|matplotlib- Fracture axis (broken_axis)| legend (legend) Detailed explanation

• Draw the fracture diagram of coordinate axis

Python visualization 31|matplotlib- Figure add text (text) And notes (annotate)

• Free to add... To a graph 「 Note text 、 Guide arrow .」

Python visualization 30|matplotlib- guide (axhline|vlines|axvspa|axhspan)

• Add guides to the drawing .

Python visualization 29|matplotlib- The pie chart （pie）

Python visualization 28|matplotlib Draw a Wayne diagram （2-6 Group data ）

Python visualization 27|seaborn Draw linear regression curve

Python visualization 26|seaborn Draw a facet （seaborn.FacetGrid）

Python visualization 25|seaborn Draw a matrix

Python visualization 24|seaborn Draw multivariable distribution diagram （jointplot|JointGrid）

Python visualization 23|seaborn.distplot Univariate distribution diagram ( Histogram | Nuclear density map )

Python visualization 22|Seaborn.catplot( Next )-boxenplot|barplot|countplot chart

Python visualization 21|Seaborn.catplot( On )- Violin diagram, etc

Python visualization 20|Seaborn Scatter plot && Broken line diagram

Python visualization 19|seborn Drawing appearance settings

• seaborn「 Graphic appearance 、 Graphics zoom 」 Set up .

Python visualization 18|seborn-seaborn Palette （ 6、 ... and ）

• System introduction seaborn Palette

Eating color is also - Color sketch free big play （ Two ）
Eating color is also ！ Color sketch free big play （ One ） Python|R visualization |09- Extract picture color drawing （ 5、 ... and - Color usage conclusion ）

Python visualization |08-Palettable Color bar in Library Colormap（ Four ）

• major python Color library .

Python visualization |matplotlib07- Own color bar Colormap（ 3、 ... and ）

Python visualization |matplotlib06- Exterior single color （ Two ）

Python visualization |matplotlib05- Built in single color （ One ）

Python visualization 17seborn- Box diagram boxplot

Python visualization matplotlib&seborn15- Clustering heat maps clustermap

Python visualization matplotlib&seborn16- The correlation heatmap

Python visualization matplotlib&seborn14- Thermogram heatmap

Python visualization |matplotlib13- Histogram （histogram） Detailed explanation

Python visualization |matplotlib12- vertical | level | Detailed explanation of stacked bar chart

Python visualization |matplotlib11- Draw line chart matplotlib.pyplot.plot

Python visualization |matplotlib10- Draw a scatter plot scatter

Python visualization |matplotlib04- Drawing style （plt.style） Complete works of

Python visualization |matplotlib03- One article mastery marker and linestyle Use

python visualization |matplotlib02-matplotlib.pyplot Axis | Scale value | scale | Title Setting

* Detailed introduction matplotlib.pyplot Coordinate axis in drawing mode （axis）, Scale value （trick label）, scale （tricks）, Subgraph title （title）, Icon title （suptitle）, Axis title （xlabel,ylabel）, Gridlines （grid） And other parameters .
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python visualization |matplotlib01- Drawing style | Graphic structure

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