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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：
https://github.com/sandialabs/toyplothttps://toyplot.readthedocs.io/en/stable/
2.2 安装：
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
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
#line==折线图import toyplot as tpx=['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-legendsmarkers = [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.browsertp.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.svgsvg = tp.svg.render(canvas)svg.attrib["class"] = "MyCustomClass"import xml.etree.ElementTree as xmlwith open("/home/xgj/Desktop/toyplot/1-line.svg", "wb") as file: file.write(xml.tostring(svg))'''
3.2 上述代码简洁版：
#line==折线图import toyplot as tpx=['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-legendsmarkers = [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.browsertp.browser.show(canvas)
3.3 操作和效果图：
4 散点图：
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4.1 代码：
import toyplotcanvas = 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.browsertoyplot.browser.show(canvas)
4.2 图：
5 垂直堆砌柱状图：
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5.1 代码：
#bars==垂直堆砌柱状图=vsbarimport toyplot as tpx=['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-legendsmarkers = [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.browsertp.browser.show(canvas)
5.2 图：
6 颜色条：
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6.1 代码：
#Color Scaleimport numpyimport toyplotcolormap = 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.browsertoyplot.browser.show(canvas)
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:
#table-heperlinksimport numpyimport toyplotcanvas, 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.browsertoyplot.browser.show(canvas)
7.3 图：
8 高级作图之动态散点图：
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8.1 代码：
#散点动画图import numpyx = numpy.random.normal(size=100)y = numpy.random.normal(size=len(x))import toyplotcanvas = 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.browsertoyplot.browser.show(canvas)
8.2 效果图：
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