# -*- coding: utf-8 -*-
"""Plot to demonstrate the qualitative2 colormap.
"""
import numpy as np
import matplotlib.pyplot as plt
from typhon.cm import mpl_colors
from typhon.plots import figsize
fig, ax = plt.subplots(figsize=figsize(10))
ax.set_prop_cycle(color=mpl_colors('qualitative2', 7))
for c in np.arange(7):
X = np.random.randn(100)/2
Y = np.random.randn(100)/2
ax.plot(X+c, Y+c, linestyle='none', marker='.', markersize=20)
fig.tight_layout()
plt.show()
# -*- coding: utf-8 -*-
"""Plot to demonstrate the phase colormap
"""
import numpy as np
import matplotlib.pyplot as plt
from typhon.cm import mpl_colors
from typhon.plots import figsize
x = np.linspace(0, 4 * np.pi, 200)
phase_shifts = np.linspace(0, 2 * np.pi, 10)
fig, ax = plt.subplots(figsize=figsize(10))
ax.set_prop_cycle(color=mpl_colors('phase', len(phase_shifts)))
for p in phase_shifts:
ax.plot(x, np.sin(x + p), lw=2)
ax.set_xlim(x.min(), x.max())
ax.set_ylim(-1.2, 1.2)
fig.tight_layout()
plt.show()
# -*- coding: utf-8 -*-
"""Plot to demonstrate the qualitative1 colormap.
"""
import numpy as np
import matplotlib.pyplot as plt
from typhon.cm import mpl_colors
from typhon.plots import figsize
x = np.linspace(0, 10, 100)
fig, ax = plt.subplots(figsize=figsize(10))
ax.set_prop_cycle(color=mpl_colors('qualitative1', 20))
for c in np.arange(20):
ax.plot(x, (15 + x) * c, linewidth=3)
fig.tight_layout()
plt.show()
