Better colorscheme
Use Cubehelix perceptual rainbow colorscheme, which degrades nicely when desaturated, with the correct number of elements. See http://www.ifweassume.com/2013/05/cubehelix-or-how-i-learned-to-love.html. Closes https://github.com/Phyks/replot/issues/8.
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Examples.ipynb
7289
Examples.ipynb
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@ -105,3 +105,6 @@ reuse. For more details, see `LICENSE.txt` file.
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the original idea.
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* [This code](http://central.scipy.org/item/53/1/adaptive-sampling-of-1d-functions)
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from scipy central for a base code for adaptive sampling.
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* [Palettable](https://jiffyclub.github.io/palettable/) for palettes.
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* [Cubehelix](http://www.ifweassume.com/2013/05/cubehelix-or-how-i-learned-to-love.html)
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colorscheme for nice black and white printing and desaturation compatibility.
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@ -16,6 +16,7 @@ except KeyError:
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mpl.use("agg")
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import matplotlib.pyplot as plt
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import numpy as np
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import palettable
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from replot import adaptive_sampling
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from replot import exceptions as exc
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@ -29,18 +30,20 @@ __VERSION__ = "0.0.1"
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# CONSTANTS #
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#############
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_DEFAULT_GROUP = "_"
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# Default palette is husl palette with length 10 color cycle
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_DEFAULT_PALETTE = [
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(0.9677975592919913, 0.44127456009157356, 0.5358103155058701),
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(0.8616090647292522, 0.536495730113334, 0.19548899031476086),
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(0.6804189127793346, 0.6151497514677574, 0.19405452111445337),
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(0.46810256823426105, 0.6699492535792404, 0.1928958739904499),
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(0.20125317221201128, 0.6907920815379025, 0.47966761189275336),
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(0.21044753832183283, 0.6773105080456748, 0.6433941168468681),
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(0.2197995660828324, 0.6625157876850336, 0.7732093159317209),
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(0.433280341176423, 0.6065273407962815, 0.9585467098271748),
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(0.8004936186423958, 0.47703363533737203, 0.9579547196007522),
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(0.962272393509669, 0.3976451968965351, 0.8008274363432775)]
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def _default_palette(n):
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"""
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Default palette is a CubeHelix perceptual rainbow palette with length the
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number of plots.
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:param n: The number of colors in the palette.
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:returns: The palette as a list of colors (as RGB tuples).
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"""
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return palettable.cubehelix.Cubehelix.make(
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start_hue=240., end_hue=-300., min_sat=1., max_sat=2.5,
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min_light=0.3, max_light=0.8, gamma=.9, n=n).mpl_colors
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class Figure():
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@ -51,7 +54,7 @@ class Figure():
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def __init__(self,
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xlabel="", ylabel="", title="",
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xrange=None, yrange=None,
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palette=_DEFAULT_PALETTE,
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palette=_default_palette,
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legend=None, savepath=None, grid=None,
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custom_mpl_rc=None):
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"""
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@ -67,8 +70,10 @@ class Figure():
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:param palette: Color palette to use (optional). Defaults to a safe \
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palette with compatibility with colorblindness and black and \
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white printing.
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:type palette: Either a list of colors (as RGB tuples) or a \
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:mod:`seaborn` ``color_palette`` object.
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:type palette: Either a list of colors (as RGB tuples) or a function \
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to call with number of plots as parameter and which returns a \
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list of colors (as RGB tuples). You can also pass a Seaborn \
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palette directly, or use a Palettable Palette.mpl_colors.
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:param legend: Whether to use a legend or not (optional). Defaults to \
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no legend, except if labels are found on provided plots. \
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``False`` to disable completely. ``None`` for default \
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@ -410,6 +415,10 @@ class Figure():
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# If grid is disabled, we plot every group in the same sublot.
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axes = {}
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figure, axis = plt.subplots()
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# Set the palette for the subplot
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axis.set_prop_cycle(
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self._build_cycler_palette(sum([len(i) for i in self.plots])))
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# Set the axis for every subplot
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for subplot in self.plots:
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axes[subplot] = axis
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return figure, axes
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@ -428,6 +437,9 @@ class Figure():
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position,
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colspan=colspan,
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rowspan=rowspan)
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# Set the palette for the subplot
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axes[symbol].set_prop_cycle(
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self._build_cycler_palette(len(self.plots[symbol])))
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if _DEFAULT_GROUP not in axes:
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# Set the default group axis to None if it is not in the grid
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axes[_DEFAULT_GROUP] = None
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@ -494,11 +506,17 @@ class Figure():
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if self.yrange is not None:
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axis.set_ylim(*self.yrange)
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def _build_cycler_palette(self):
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def _build_cycler_palette(self, n):
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"""
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TODO
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Build a cycler palette for the selected subplot.
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:param n: number of colors in the palette.
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:returns: a cycler object for the palette.
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"""
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return cycler.cycler("color", self.palette)
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if hasattr(self.palette, "__call__"):
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return cycler.cycler("color", self.palette(n))
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else:
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return cycler.cycler("color", self.palette)
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def _render(self):
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"""
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@ -508,9 +526,7 @@ class Figure():
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"""
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figure = None
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# Use custom matplotlib context
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palette = self._build_cycler_palette()
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with mpl_custom_rc_context(palette=palette,
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rc=self.custom_mpl_rc):
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with mpl_custom_rc_context(rc=self.custom_mpl_rc):
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# Create figure
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figure, axes = self._grid()
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# Add plots
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@ -655,35 +671,18 @@ def _mpl_custom_rc_axes_style():
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"axes.edgecolor": "white",
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# Grid
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"grid.linestyle": "-",
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"grid.color": "white"
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"grid.color": "white",
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# Image
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"image.cmap": "Greys"
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}
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return rc_params
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def _mpl_custom_rc_palette(palette):
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"""
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Set the palette used on the plots.
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Settings borrowed from
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[Seaborn](https://github.com/mwaskom/seaborn/blob/master/seaborn/rcmod.py#L344).
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:param palette: The palette to use, as a :mod:`cycler` ``cycler`` object.
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:returns: a :mod:`matplotlib` ``rcParams``-like dict.
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"""
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rc_params = {
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"image.cmap": "Greys",
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"axes.prop_cycle": palette,
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"patch.facecolor": [v["color"] for v in palette][0]
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}
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return rc_params
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def mpl_custom_rc_context(palette, rc=None):
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def mpl_custom_rc_context(rc=None):
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"""
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Overload ``matplotlib.rcParams`` to enable advanced features if \
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available. In particular, use LaTeX if available.
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:param palette: The palette to use, as a :mod:`cycler` ``cycler`` object.
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:param rc: An optional dict to overload some :mod:`matplotlib` rc params.
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:returns: A ``matplotlib.rc_context`` object to use in a ``with`` \
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statement.
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@ -704,8 +703,6 @@ def mpl_custom_rc_context(palette, rc=None):
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custom_rc.update(_mpl_custom_rc_scaling())
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# Set axes style
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custom_rc.update(_mpl_custom_rc_axes_style())
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# Set palette
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custom_rc.update(_mpl_custom_rc_palette(palette))
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# Overload if necessary
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if rc is not None:
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custom_rc.update(rc)
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@ -1,3 +1,4 @@
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matplotlib>=1.5.1
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numpy>=1.10.4
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cycler>=0.9.0
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palettable>=2.1.1
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