def test_horizontal_box():
fig = plt.figure()
ax = fig.add_subplot(111)
np.random.seed(0)
x = np.random.normal(size=(1000, 8))
mpt.boxplot(
ax, x, vert=False, ticks=['Set {index}'.format(index=i + 1) for i in range(8)])
def content(fig):
ax = fig.add_subplot(321)
np.random.seed(0)
for i in range(8):
y = np.random.normal(size=1000).cumsum()
x = np.arange(1000)
mpt.plot(ax, x, y, label='Data {index}'.format(index=str(i + 1)))
mpt.legend(ax, ncol=2, loc='lower left')
ax = fig.add_subplot(322)
np.random.seed(0)
x = np.arange(6)
y1 = np.random.uniform(size=6) * 100
y2 = np.random.uniform(size=6) * 100
mpt.bar(ax, x, y1, width=0.4, label='Data 1',
annotations=[str(int(d)) for d in y1])
mpt.bar(ax, x + 0.4, y2, width=0.4, label='Data 2',
annotations=[str(int(d)) for d in y2])
ax.set_xticks(np.arange(6) + 0.4)
ax.set_xticklabels(
['Set {index}'.format(index=str(i)) for i in np.arange(6) + 1])
mpt.legend(ax)
ax = fig.add_subplot(323)
np.random.seed(1)
for i in range(8):
x = np.random.normal(size=1000) + i
mpt.hist(ax, x, label='Data {index}'.format(index=str(i + 1)),
orientation='horizontal', alpha=0.6)
ax = fig.add_subplot(324)
np.random.seed(0)
x = np.random.normal(size=(1000, 8))
mpt.boxplot(
ax, x, ticks=['Set {index}'.format(index=i + 1) for i in range(8)])
ax = fig.add_subplot(325)
np.random.seed(0)
for i in range(8):
x = np.random.normal(size=1000) + i
y = np.random.normal(size=1000) + i
mpt.scatter(ax, x, y, label='Data {index}'.format(index=str(i + 1)))
mpt.legend(ax, title='Legend', scatterpoints=3)
ax = fig.add_subplot(326)
np.random.seed(0)
mpt.pcolormesh(ax, np.random.rand(20, 20), xticks=[str(i) for i in range(20)],
yticks=[str(i + 20) for i in range(20)])