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"""
.. redirect-from:: /tutorials/intermediate/color_cycle
.. _color_cycle:
===================
Styling with cycler
===================
Demo of custom property-cycle settings to control colors and other style
properties for multi-line plots.
.. note::
More complete documentation of the ``cycler`` API can be found
`here <https://matplotlib.org/cycler/>`_.
This example demonstrates two different APIs:
1. Setting the rc parameter specifying the default property cycle.
This affects all subsequent Axes (but not Axes already created).
2. Setting the property cycle for a single pair of Axes.
"""
from cycler import cycler
import matplotlib.pyplot as plt
import numpy as np
# %%
# First we'll generate some sample data, in this case, four offset sine
# curves.
x = np.linspace(0, 2 * np.pi, 50)
offsets = np.linspace(0, 2 * np.pi, 4, endpoint=False)
yy = np.transpose([np.sin(x + phi) for phi in offsets])
# %%
# Now ``yy`` has shape
print(yy.shape)
# %%
# So ``yy[:, i]`` will give you the ``i``-th offset sine curve. Let's set the
# default ``prop_cycle`` using :func:`matplotlib.pyplot.rc`. We'll combine a
# color cycler and a linestyle cycler by adding (``+``) two ``cycler``'s
# together. See the bottom of this tutorial for more information about
# combining different cyclers.
default_cycler = (cycler(color=['r', 'g', 'b', 'y']) +
cycler(linestyle=['-', '--', ':', '-.']))
plt.rc('lines', linewidth=4)
plt.rc('axes', prop_cycle=default_cycler)
# %%
# Now we'll generate a figure with two Axes, one on top of the other. On the
# first axis, we'll plot with the default cycler. On the second axis, we'll
# set the ``prop_cycle`` using :func:`matplotlib.axes.Axes.set_prop_cycle`,
# which will only set the ``prop_cycle`` for this :mod:`matplotlib.axes.Axes`
# instance. We'll use a second ``cycler`` that combines a color cycler and a
# linewidth cycler.
custom_cycler = (cycler(color=['c', 'm', 'y', 'k']) +
cycler(lw=[1, 2, 3, 4]))
fig, (ax0, ax1) = plt.subplots(nrows=2)
ax0.plot(yy)
ax0.set_title('Set default color cycle to rgby')
ax1.set_prop_cycle(custom_cycler)
ax1.plot(yy)
ax1.set_title('Set axes color cycle to cmyk')
# Add a bit more space between the two plots.
fig.subplots_adjust(hspace=0.3)
plt.show()
# %%
# Setting ``prop_cycle`` in the :file:`matplotlibrc` file or style files
# ----------------------------------------------------------------------
#
# Remember, a custom cycler can be set in your :file:`matplotlibrc`
# file or a style file (:file:`style.mplstyle`) under ``axes.prop_cycle``:
#
# .. code-block:: python
#
# axes.prop_cycle : cycler(color='bgrcmyk')
#
# Cycling through multiple properties
# -----------------------------------
#
# You can add cyclers:
#
# .. code-block:: python
#
# from cycler import cycler
# cc = (cycler(color=list('rgb')) +
# cycler(linestyle=['-', '--', '-.']))
# for d in cc:
# print(d)
#
# Results in:
#
# .. code-block:: python
#
# {'color': 'r', 'linestyle': '-'}
# {'color': 'g', 'linestyle': '--'}
# {'color': 'b', 'linestyle': '-.'}
#
#
# You can multiply cyclers:
#
# .. code-block:: python
#
# from cycler import cycler
# cc = (cycler(color=list('rgb')) *
# cycler(linestyle=['-', '--', '-.']))
# for d in cc:
# print(d)
#
# Results in:
#
# .. code-block:: python
#
# {'color': 'r', 'linestyle': '-'}
# {'color': 'r', 'linestyle': '--'}
# {'color': 'r', 'linestyle': '-.'}
# {'color': 'g', 'linestyle': '-'}
# {'color': 'g', 'linestyle': '--'}
# {'color': 'g', 'linestyle': '-.'}
# {'color': 'b', 'linestyle': '-'}
# {'color': 'b', 'linestyle': '--'}
# {'color': 'b', 'linestyle': '-.'}
|
