def test_default(self):
create_cmap_overview()
def test_custom_cmaps_list_no_types(self):
create_cmap_overview([cmrcm.rainforest], use_types=0)
create_cmap_overview(['cmr.rainforest'], use_types=0)
bbox_inches='tight',
pad_inches=0)
plt.close(fig)
# Create txt-file with colormap data
np.savetxt("cm_{0}.txt".format(name), rgb, fmt='%.8e')
# Create txt-file with 8-bit colormap data
rgb_8bit = np.rint(rgb * 255)
np.savetxt("{0}/{0}_8bit.txt".format(name), rgb_8bit, fmt='%i')
# Load in all colormaps currently defined
import_cmaps('.')
# Make new colormap overview
create_cmap_overview(savefig='cmap_overview.png', sort='lightness')
create_cmap_overview(savefig=path.join(docs_dir, 'images',
'cmap_overview.png'),
sort='lightness')
create_cmap_overview(cmap_d.keys(),
plot_profile=True,
sort='lightness',
savefig=path.join(docs_dir, 'images',
'mpl_cmaps.png'))
# Make string with the docs entry
docs_entry = dedent("""
.. _{0}:
{0}
{1}
dpi=200,
bbox_inches='tight',
pad_inches=0)
plt.close(fig)
# Create txt-file with colormap data
np.savetxt("cm_{0}.txt".format(name), cmap_mod.cm_data)
# Delete the created __pycache__ in the loaded cmap module
shutil.rmtree("{0}/__pycache__".format(name), ignore_errors=True)
# Load in all colormaps currently defined
import_cmaps('.')
# Make new colormap overview
create_cmap_overview(savefig='cmap_overview.png')
# Make string with the docs entry and print it
docs_entry = dedent("""
{0}
{2}
.. figure:: ../../../cmasher/colormaps/{1}/{1}.png
:alt: Visual representation of the *{1}* colormap.
:width: 100%
:align: center
:name: {1}_cmap
.. figure:: ../../../cmasher/colormaps/{1}/{1}_viscm.png
:alt: Statistics of the *{1}* colormap.
:width: 100%
:align: center
def test_mpl_cmaps_names(self):
create_cmap_overview(mplcm.cmap_d.keys(), sort='lightness')
def test_mpl_cmaps_names(self):
create_cmap_overview(mpl_cmaps, sort='lightness')
def test_no_grayscale(self):
create_cmap_overview([cmrcm.rainforest], show_grayscale=False)
def test_custom_cmaps_dict(self):
create_cmap_overview({
'test1': [cmrcm.rainforest],
'test2': ['cmr.rainforest']
})
def test_lightness_profiles(self):
create_cmap_overview(mpl_cmaps, plot_profile=True)
def test_dark_mode(self):
create_cmap_overview([cmrcm.rainforest], dark_mode=True)
# Create txt-file with colormap data
np.savetxt("cm_{0}.txt".format(name), rgb, fmt='%.8f')
# Create txt-file with normalized colormap data
np.savetxt("{0}/{0}_norm.txt".format(name), rgb, fmt='%.8f')
# Create txt-file with 8-bit colormap data
rgb_8bit = np.rint(rgb * 255)
np.savetxt("{0}/{0}_8bit.txt".format(name), rgb_8bit, fmt='%i')
# Create txt-file with HEX colormap data
rgb_hex = np.apply_along_axis((lambda x: to_hex(x).upper()), 1, rgb)
np.savetxt("{0}/{0}_hex.txt".format(name), rgb_hex, fmt="%s")
# Make new colormap overview
create_cmap_overview(savefig='cmap_overview.png', sort='lightness')
create_cmap_overview(savefig=path.join(docs_dir, 'images',
'cmap_overview.png'),
sort='lightness')
create_cmap_overview(plt.colormaps(),
plot_profile=True,
sort='lightness',
savefig=path.join(docs_dir, 'images',
'mpl_cmaps.png'))
create_cmap_app_overview()
# Make string with the docs entry
docs_entry = dedent("""
.. _{0}:
{0}
import matplotlib.cm as cm
import cmasher as cmr
from cmasher.utils import create_cmap_overview
import colorcet as cc
from bipolar import bipolar, hotcold
# Full range of bipolar plots
cmaps = []
for n in (0.0, 0.2, 0.4, 0.6, 0.8, 1.0):
cmap = bipolar(neutral=n)
cmap.name = f'bipolar {n}'
cmaps.append(cmap)
create_cmap_overview(cmaps, use_types=False, savefig='bipolar range.png',
plot_profile=True, sort=None, title="bipolar() range")
# Full range of hotcold plots
cmaps = []
for n in (0.0, 0.2, 0.4, 0.6, 0.8, 1.0):
cmap = hotcold(neutral=n)
cmap.name = f'hotcold {n}'
cmaps.append(cmap)
create_cmap_overview(cmaps, use_types=False, savefig='hotcold range.png',
plot_profile=True, sort=None, title="hotcold() range")
# Bipolar vs other dark-centered hot-cold maps
cmaps = [('bipolar 0.0', bipolar(neutral=0)),
('hotcold 0.0', hotcold(neutral=0)),
('cmr.iceburn', cmr.iceburn),
('cmr.redshift', cmr.redshift),
def test_lightness_profiles(self):
create_cmap_overview(mplcm.cmap_d.keys(), plot_profile=True)
def test_custom_cmaps_list_cat(self):
create_cmap_overview(['cmr.rainforest'])
def test_list_no_types(self):
create_cmap_overview([cmrcm.rainforest], use_types=0, sort='lightness')
create_cmap_overview(['cmr.rainforest', 'cmr.rainforest_r'],
use_types=0, title=0)
def test_custom_cmaps_mpl(self):
create_cmap_overview(mplcm.cmap_d.values())
def test_mpl_cmaps_objs(self):
cmaps = map(mplcm.get_cmap, mpl_cmaps)
create_cmap_overview(cmaps, sort='alphabetical')
def test_savefig(self):
create_cmap_overview(savefig="test.png")
assert path.exists("./test.png")
def test_mpl_cmaps_objs(self):
create_cmap_overview(mplcm.cmap_d.values(), sort='alphabetical')
