Toyplot：一个简洁、可爱的Python的交互式数据可视化绘图库

1 说明：

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1.1 Toyplot是一个Python的交互式绘图库，可用于数据可视化、绘图、文字，用各种形式展示。

1.2 为科学家和工程师们提供简洁的界面。

1.3 可开发美丽的交互式动画，以满足电子出版和支持repoducibility的独特功能。

1.4 创建最佳的数据图形"out-of-the-box"。

2 准备：

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2.1 官网：

<code>https://github.com/sandialabs/toyplot https://toyplot.readthedocs.io/en/stable//<code>

2.2 安装：

<code>pip install toyplot #本机安装 sudo pip3.8 install toyplot #推荐国内源安装 sudo pip3.8 install -i https://mirrors.aliyun.com/pypi/simple toyplot/<code>

2.3 环境：

华为笔记本电脑、深度deepin-linux操作系统、谷歌浏览器、python3.8和微软vscode编辑器。

3 折线图：

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3.1 本代码：为注释版

<code>#line==折线图 import toyplot as tp x=['1','2','3','4','5','6'] #y=[31,22,55,41,66,17] #1组数据 y=[[31,22],[22,17],[55,34],[41,28],[66,43],[17,36]] #2组数据 canvas = tp.Canvas(width=300, height=300,) #方法一，画布大小设置 #方法二：style=类似与css设置 #canvas = tp.Canvas("6in", "6in", style={"background-color":"pink"}) #坐标轴axes的标签名 axes = canvas.cartesian(xlabel='序号',ylabel='data') #线条颜色color设置 #mark = axes.plot(x, y,color='red') #1组颜色设置 mark = axes.plot(x, y,color=['red','green']) #1组颜色设置 #水平图例==horizontal-legends markers = [mark + tp.marker.create(shape="o") for mark in mark.markers] axes.label.text = markers[0] + " dog " + markers[1] + " pig" #浏览器自动打开,推荐这种 import toyplot.browser tp.browser.show(canvas) #生成pdf #import toyplot.pdf #tp.pdf.render(canvas, "/home/xgj/Desktop/toyplot/1-line.pdf") #生成png图片 #import toyplot.png #tp.png.render(canvas, "/home/xgj/Desktop/toyplot/1-line.png") #生成html #import toyplot.html #tp.html.render(canvas, "/home/xgj/Desktop/toyplot/1-line.html") ''' #生成svg图片 import toyplot.svg svg = tp.svg.render(canvas) svg.attrib["class"] = "MyCustomClass" import xml.etree.ElementTree as xml with open("/home/xgj/Desktop/toyplot/1-line.svg", "wb") as file: file.write(xml.tostring(svg)) '''/<code>

3.2 上述代码简洁版：

<code>#line==折线图 import toyplot as tp x=['1','2','3','4','5','6'] y=[[31,22],[22,17],[55,34],[41,28],[66,43],[17,36]] #2组数据 canvas = tp.Canvas(width=300, height=300,) #画布大小设置 #坐标轴axes的标签名 axes = canvas.cartesian(xlabel='序号',ylabel='data') #线条颜色color设置 mark = axes.plot(x, y,color=['red','green']) #水平图例==horizontal-legends markers = [mark + tp.marker.create(shape="o") for mark in mark.markers] axes.label.text = markers[0] + " dog " + markers[1] + " pig" #浏览器自动打开,推荐这种 import toyplot.browser tp.browser.show(canvas)/<code>

3.3 操作和效果图：

4 散点图：

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4.1 代码：

<code>import toyplot canvas = toyplot.Canvas(width=500, height=500) axes = canvas.cartesian() m0 = axes.scatterplot([0, 1, 2], [0, 1, 2], size=25) m1 = axes.text([0, 1, 2], [0, 1, 2], ["0", "55", "100"], color="red") marks = [] for label in ["0", "55", "100"]: marks.append(toyplot.marker.create( shape="o", label=label, size=25, )) m2 = axes.scatterplot([0, 1, 2], [1, 2, 3], marker=marks) #浏览器自动打开,推荐这种 import toyplot.browser toyplot.browser.show(canvas)/<code>

4.2 图：

5 垂直堆砌柱状图：

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5.1 代码：

<code>#bars==垂直堆砌柱状图=vsbar import toyplot as tp x=['1','2','3','4','5','6'] #y=[31,22,55,41,66,17] #1组数据 y=[[31,22],[22,17],[55,34],[41,28],[66,43],[17,36]] #2组数据 canvas = tp.Canvas(width=300, height=300,) #方法一，画布大小设置 #方法二：style=类似与css设置 #canvas = tp.Canvas("6in", "6in", style={"background-color":"pink"}) #坐标轴axes的标签名 axes = canvas.cartesian(xlabel='序号',ylabel='data') #线条颜色color设置,2组颜色设置 mark = axes.bars(x, y,color=['red','green']) #水平图例==horizontal-legends markers = [mark + tp.marker.create(shape="o") for mark in mark.markers] axes.label.text = markers[0] + " dog " + markers[1] + " pig" #浏览器自动打开,推荐这种 import toyplot.browser tp.browser.show(canvas)/<code>

5.2 图：

6 颜色条：

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6.1 代码：

<code>#Color Scale import numpy import toyplot colormap = toyplot.color.LinearMap(toyplot.color.Palette(), domain_min=0, domain_max=8) canvas = toyplot.Canvas(width=400, height=100) axis = canvas.color_scale(colormap, label="Color Scale", scale="linear") axis.axis.ticks.locator = toyplot.locator.Extended(format="{:.1f}") #浏览器自动打开,推荐这种 import toyplot.browser toyplot.browser.show(canvas)/<code>

6.2 图:

7 table-heperlinks:

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7.1 表格块状图及链接和图示文字。

7.2 代码:

<code>#table-heperlinks import numpy import toyplot canvas, table = toyplot.table(rows=4, columns=4) table.cells.grid.hlines[...] = "single" table.cells.grid.vlines[...] = "single" #填充颜色 table.cells.cell[1,1].style = {"fill":"crimson"} #可以指定链接地址 table.cells.cell[1,1].hyperlink = "http://toyplot.readthedocs.io" table.cells.cell[2,2].style = {"fill":"seagreen"} #可以指定链接地址 table.cells.cell[2,2].hyperlink = "http://www.sandia.gov" table.cells.cell[3,3].style = {"fill":"royalblue"} table.cells.cell[3,3].title = "This is a cell!" #浏览器自动打开,推荐这种 import toyplot.browser toyplot.browser.show(canvas)/<code>

7.3 图：

8 高级作图之动态散点图：

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8.1 代码：

<code>#散点动画图 import numpy x = numpy.random.normal(size=100) y = numpy.random.normal(size=len(x)) import toyplot canvas = toyplot.Canvas(300, 300) axes = canvas.cartesian() mark = axes.scatterplot(x, y, size=10) for frame in canvas.frames(len(x) + 1): if frame.number == 0: for i in range(len(x)): frame.set_datum_style(mark, 0, i, style={"opacity":0.1}) else: frame.set_datum_style(mark, 0, frame.number - 1, style={"opacity":1.0}) #保存为mp4 #toyplot.mp4.render(canvas, "/home/xgj/Desktop/toyplot/test.mp4", progress=progress) #浏览器自动打开,推荐这种 import toyplot.browser toyplot.browser.show(canvas) /<code>

8.2 效果图：

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