def test_two_bar_with_legend():
fig = plt.figure()
ax = fig.add_subplot(111)
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)
def test_stack_bar_with_legend():
fig = plt.figure()
ax = fig.add_subplot(111)
np.random.seed(0)
x = np.arange(6)
y1 = -np.random.uniform(size=6) * 50
y2 = np.random.uniform(size=6) * 50
y3 = np.random.uniform(size=6) * 50
mpt.bar(
ax,
x,
y1,
label="Data 1",
annotations=[str(int(d)) for d in y1],
annotations_loc="center",
orientation="horizontal",
grid="True",
ticks=["Set {index}".format(index=str(i)) for i in np.arange(6) + 1],
)
mpt.bar(
ax, x, y2, label="Data 2", annotations=[str(int(d)) for d in y2], annotations_loc="in", orientation="horizontal"
)
mpt.bar(
ax,
x,
y3,
offset=y2,
label="Data 3",
annotations=[str(int(d)) for d in y2 + y3],
annotations_loc="out",
orientation="horizontal",
)
mpt.legend(ax, loc="center right")
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)])
import numpy as np
import matplotlib.pylab as plt
import matplottheme as mpt
np.random.seed(0)
x = np.random.rand(5) * 100
fig, ax = plt.subplots()
mpt.bar(ax, np.arange(5), x)
plt.savefig('bar.png', transparent=True)