ax.add_patch(Rectangle((0, 0), arc, 10.5,
facecolor='white', zorder=0,
clip_on=False, in_layout=False))
return ax
def make_logo(height_px):
"""
Create a figure with the prettypyplot logo.
Parameters
----------
height_px : int
Height of the figure in pixel.
"""
dpi = plt.rcParams['figure.dpi']
height = height_px / dpi
figsize = (height, height)
fig = plt.figure(figsize=figsize)
ax = create_icon_axes(fig)
return fig, ax
if __name__ == '__main__':
pplt.use_style()
fig, ax = make_logo(height_px=120)
pplt.savefig('gallery/logo.png')
"""Create Matplotlib inspired logo.
This script is taken from
https://matplotlib.org/gallery/misc/logos2.html#sphx-glr-gallery-misc-logos2-py
an heavily simplified to fit the spirit of prettypyplot.
"""
import prettypyplot as pplt
import logo
pplt.use_style(latex=False)
fig, ax = logo.make_logo(height_px=120)
pplt.figtext(
1.4,
1.15,
'prettypyplot',
va='top',
ha='left',
fontsize=8,
weight='bold',
fontname='Roboto',
)
_, clight, _, _ = pplt.categorical_color(4, 'pplt:gray')
pplt.figtext(
1.4,
0.6,
'Publication ready\nmatplotlib figures\nmade simple',
import numpy as np
import prettypyplot as pplt
# ~~~ DEFINE DATA ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
np.random.seed(1337)
N = 500
T = np.linspace(0, 3 * np.pi, N)
X1, X2, X3 = [
np.sin(T + np.pi * np.random.rand()) + 0.1 * np.random.rand(N)
for _ in range(3)
]
for style in ['default', 'minimal']:
for mode in ['default', 'print', 'beamer']:
pplt.use_style(style=style, mode=mode, figsize=2)
fig, axs = plt.subplots(
3,
1,
gridspec_kw={'hspace': 0.4},
)
# legend
for i, outside in enumerate(['top', 'right', False]):
ax = axs.flatten()[i]
pplt.plot(T, X1, ax=ax, label='$x_1$')
pplt.plot(T, X2, ax=ax, label='$x_2$')
pplt.plot(T, X3, ax=ax, label='$x_3$')
pplt.legend(title='function:', ax=ax, outside=outside)
import prettypyplot as pplt
# ~~~ DEFINE DATA ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
np.random.seed(1337)
n = 1000000
x = np.random.standard_normal(n)
y = x + .5 * np.random.standard_normal(n)
hist, xedges, yedges = np.histogram2d(x, y, bins=100, density=True)
hist[hist == 0] = None
t = np.linspace(0, 3 * np.pi, 1000)
for style in ['default', 'minimal']:
pplt.use_style(style=style)
# ~~~ PLOT LINEAR ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fig, ax = plt.subplots()
pplt.plot(t, np.sin(t), t, np.cos(t), t, 2 * np.cos(t))
pplt.savefig(f'gallery/{style}_plot.png')
plt.close()
# legend
fig, ax = plt.subplots()
pplt.plot(t, np.sin(t), label='sin')
pplt.plot(t, np.cos(t), label='cos')
pplt.plot(t, 2 * np.cos(t), label='2cos')
pplt.legend(title='function:')
pplt.savefig(f'gallery/{style}_plot_legend.png')
plt.close()
Copyright (c) 2020-2021, Daniel Nagel
All rights reserved.
"""
# ~~~ IMPORT ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
import matplotlib.pyplot as plt
import numpy as np
import prettypyplot as pplt
# ~~~ DEFINE DATA ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
np.random.seed(1337)
N = 500
T = np.linspace(0, 3 * np.pi, N)
pplt.use_style(figsize=.8)
for nfigs in (8, 9):
xs = [
np.sin(T + np.pi * np.random.rand()) + 0.1 * np.random.rand(N)
for _ in range(nfigs)
]
fig, axs = plt.subplots(
3,
3,
sharex=True,
sharey=True,
gridspec_kw={'hspace': 0, 'wspace': 0},
)