def test_scaled_figure_size2():
apply_style()
fig = create_figure(width='2x', height='0.25x')
assert fig.get_figwidth() == approx(2 * _default_width, 0.01)
assert fig.get_figheight() == approx(0.25 * _default_height, 0.01)
def test_default_figure_size():
apply_style()
fig = create_figure()
assert fig.get_figwidth() == _default_width
assert fig.get_figheight() == _default_height
def test_absolute_figure_size():
apply_style()
fig = create_figure(width=11, height=7)
assert fig.get_figwidth() == approx(11, 0.01)
assert fig.get_figheight() == approx(7, 0.01)
#%%
import numpy as np
import matplotlib.pyplot as plt
from figure_tools import apply_style, create_figure, save_figure, print_image_metadata
# %%
apply_style()
# %%
fig = create_figure(width='1x')
# ... put your own plotting logic here
# ...
# ...
x = np.linspace(0, 10, 100)
plt.plot(x, np.sin(x), '-')
plt.plot(x, np.sin(2.3 * x), '-')
plt.xlabel('$t$ / s')
plt.ylabel('amplitude')
plt.title('awesome figure title')
# ...
# ...
# ...
plt.tight_layout()
# Save the current figure in "png" format. The image will have the same
# name as the python script, except for another suffix.
save_figure(__file__)
# %%