In [1]:

    

import numpy
import toyplot.data

data = toyplot.data.Table()
data["a"] = numpy.array(["Foo-BAZ-46", "Bar-BAZ-46", "Foo-BAZ-23", "Bar-BAZ-23", "Foo-BLAH", "Bar-BLAH"])
data["b"] = numpy.array([0.381, 0.142, 0.473, 0.234, 0.165, 0.186])
data


    

    
Out[1]:




a
b
Foo-BAZ-46
0.381
Bar-BAZ-46
0.142
Foo-BAZ-23
0.473
Bar-BAZ-23
0.234
Foo-BLAH
0.165
Bar-BLAH
0.186

In [2]:

    

colormap = toyplot.color.CategoricalMap()

canvas = toyplot.Canvas(width=600, height=250)
table = canvas.table(rows=6, columns=4, title="Quarterly Report")
table.column(0).width = 50
table.column(1).data = data["a"]
table.column(1).width = 90
table.column(3).data = data["b"]
table.column(3).width = 55
table.column(3).format = toyplot.format.FloatFormatter(format="{:.2f}s")
table.cell(0,0,rowspan=2).merge().data = "Red"
table.cell(2,0,rowspan=2).merge().data = "Green"
table.cell(4,0,rowspan=2).merge().data = "Blue"
axes = table.cell(0, 2, rowspan=6).axes(show=True, yshow=False, padding=0, xlabel="Seconds")
axes.x.spine.show = False
axes.bars(data["b"][::-1], along="y", style={"stroke-width":8}, fill=numpy.array([0,1,0,1,0,1])[::-1], colormap=colormap);


    

    





Save as .csv

In [3]:

    

canvas = toyplot.Canvas(width=600, height=250)
table = canvas.table(rows=6, columns=4, title="Quarterly Report")
table.column(0).width = 50
table.column(1).data = data["a"]
table.column(1).width = 90
table.column(3).width = 55
table.column(3).format = toyplot.format.FloatFormatter(format="{:.2f}s")
table.cell(0,0,rowspan=2).merge().data = "Red"
table.cell(2,0,rowspan=2).merge().data = "Green"
table.cell(4,0,rowspan=2).merge().data = "Blue"
for index, value in enumerate(data["b"]):
    axes = table.cell(index, 2).axes(padding=5, xmin=0, xmax=data["b"].max(), xlabel="Seconds", yshow=False)
    axes.bars([value], along="y", fill=colormap.color(index % 2))
    axes.show = index == 5
    axes.x.spine.show = False


    

    





Save as .csv

In [ ]: