In [1]:

    

import numpy
import toyplot


    

In [2]:

    

numpy.random.seed(1234)
data = numpy.random.random(10)
x = numpy.linspace(0, 2, len(data))
x2 = numpy.linspace(0, 1, len(data)) ** 1.5
x3 = numpy.cumsum(numpy.random.random(len(data) + 1))
x4 = x3[:-1]
x5 = x3[1:]

toyplot.bars(data, width=300, height=300);
toyplot.bars(x, data, width=300, height=300);
toyplot.bars(x2, data, width=300, height=300);
toyplot.bars(x4, x5, data, width=300, height=300);


    

    





Save as .csv






    





Save as .csv






    





Save as .csv






    





Save as .csv

In [3]:

    

observations = numpy.random.normal(size=(10000))
toyplot.bars(numpy.histogram(observations, 10), width=300, height=300);


    

    





Save as .csv

In [4]:

    

data = numpy.column_stack((numpy.random.random(10), numpy.random.random(10)))

toyplot.bars(data, width=300, height=300);
toyplot.bars(x, data, width=300, height=300);
toyplot.bars(x2, data, width=300, height=300);
toyplot.bars(x4, x5, data, width=300, height=300);


    

    





Save as .csv






    





Save as .csv






    





Save as .csv






    





Save as .csv

In [5]:

    

toyplot.bars(data, width=300, height=300, baseline=None);
toyplot.bars(x, data, width=300, height=300, baseline=None);
toyplot.bars(x2, data, width=300, height=300, baseline=None);
toyplot.bars(x4, x5, data, width=300, height=300, baseline=None);


    

    





Save as .csv






    





Save as .csv






    





Save as .csv






    





Save as .csv

In [5]: