def some_plot(self, cmap):
plt, fig, ax = plot.basic()
N = 1000
array_dg = np.random.uniform(0, 10, size=(N, 2))
colors = np.random.uniform(-2, 2, size=(N, ))
plt.scatter(array_dg[:, 0], array_dg[:, 1], c=colors, cmap=cmap)
plt.colorbar()
plt.show()
def test_visually(self):
plt, fig, ax = plot.basic()
plt.plot([1, 2, 4], label="test")
plt.plot([2, 2, 3], label="test2")
plot.h_line(1, color="red")
plot.legend(loc="lower right", alpha=1.)
plt.xlabel("x-axis")
plt.ylabel("y-axis")
self.show()
def test_subplots_visually(self):
plt, fig, ax = plot.basic(2, 1)
ax[0].plot([1, 2, 4], label="test")
ax[0].set_xlabel("x_label")
ax[0].set_ylabel("y_label")
ax[0].set_title("ax0 title")
ax[1].plot([1, 2, 4], label="test 2")
ax[1].set_title("ax1 title")
ax[1].set_xlabel("x_label")
plt.show()
def test_bar_visually(self):
plt, fig, ax = plot.basic()
b1 = [
0.0022312583236333053, 2.30072232554551e-05,
2.0288252517587813e-05, 1.0155657023897475e-05,
1.3928905164667381e-05, 5.789764361632152e-06,
1.2345582129869121e-05, 1.125099009374256e-05,
8.375211416428887e-06, 8.835039982342082e-06
]
b2 = [
0.042499270794620105, 5.264903451938897e-05, 0.0019489462821535033,
4.024229907858245e-05, 3.077925332007259e-05,
3.093287138100361e-05, 0.00014016427496842322,
1.853694957102855e-05, 2.3703962751812195e-05,
5.536745197248537e-06
]
b3 = [
0.023030640797494107, 1.5970049271846566e-05, 0.000811411992130343,
1.2886894992963836e-05, 1.0031007849522452e-05,
8.636313098929208e-06, 5.124210336705097e-05,
7.615945200570969e-06, 1.2259974414554043e-05,
5.353390492722848e-06
]
b4 = [
0.0020611468530092264, 5.413584591167569e-06,
1.5629098646494706e-05, 5.0767580016579335e-06,
6.593670459802336e-06, 3.9572836668542565e-06,
7.1269968357244615e-06, 6.5854090982057785e-06,
9.375832865607904e-06, 3.4312823489133688e-06
]
plot.bar_plot((b1, {
"label": "bar 1"
}), (b2, {
"label": "bar 2"
}), (b3, {
"label": "bar 3"
}), (b4, {
"label": "bar 4"
}),
x_labels=["1st", "2nd", "3rd"] +
["{}th".format(i + 1) for i in range(3, len(b1))])
self.show()
from bunchofutils import colormap, plot
import numpy as np
cmap = colormap.colormap_from_png("matlab.png")
plt, fig, ax = plot.basic()
N = 1000
array_dg = np.random.uniform(0, 10, size=(N, 2))
colors = np.random.uniform(-2, 2, size=(N, ))
plt.scatter(array_dg[:, 0], array_dg[:, 1], c=colors, cmap=cmap)
plt.colorbar()
plt.show()