.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/color/named_colors.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. meta:: :keywords: codex .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_color_named_colors.py: ==================== List of named colors ==================== This plots a list of the named colors supported by Matplotlib. For more information on colors in matplotlib see * the :ref:`colors_def` tutorial; * the `matplotlib.colors` API; * the :doc:`/gallery/color/color_demo`. ---------------------------- Helper Function for Plotting ---------------------------- First we define a helper function for making a table of colors, then we use it on some common color categories. .. GENERATED FROM PYTHON SOURCE LINES 19-77 .. code-block:: Python import math import matplotlib.pyplot as plt import matplotlib.colors as mcolors from matplotlib.patches import Rectangle def plot_colortable(colors, *, ncols=4, sort_colors=True): cell_width = 212 cell_height = 22 swatch_width = 48 margin = 12 # Sort colors by hue, saturation, value and name. if sort_colors is True: names = sorted( colors, key=lambda c: tuple(mcolors.rgb_to_hsv(mcolors.to_rgb(c)))) else: names = list(colors) n = len(names) nrows = math.ceil(n / ncols) width = cell_width * ncols + 2 * margin height = cell_height * nrows + 2 * margin dpi = 72 fig, ax = plt.subplots(figsize=(width / dpi, height / dpi), dpi=dpi) fig.subplots_adjust(margin/width, margin/height, (width-margin)/width, (height-margin)/height) ax.set_xlim(0, cell_width * ncols) ax.set_ylim(cell_height * (nrows-0.5), -cell_height/2.) ax.yaxis.set_visible(False) ax.xaxis.set_visible(False) ax.set_axis_off() for i, name in enumerate(names): row = i % nrows col = i // nrows y = row * cell_height swatch_start_x = cell_width * col text_pos_x = cell_width * col + swatch_width + 7 ax.text(text_pos_x, y, name, fontsize=14, horizontalalignment='left', verticalalignment='center') ax.add_patch( Rectangle(xy=(swatch_start_x, y-9), width=swatch_width, height=18, facecolor=colors[name], edgecolor='0.7') ) return fig .. GENERATED FROM PYTHON SOURCE LINES 78-81 ----------- Base colors ----------- .. GENERATED FROM PYTHON SOURCE LINES 81-84 .. code-block:: Python plot_colortable(mcolors.BASE_COLORS, ncols=3, sort_colors=False) .. image-sg:: /gallery/color/images/sphx_glr_named_colors_001.png :alt: named colors :srcset: /gallery/color/images/sphx_glr_named_colors_001.png, /gallery/color/images/sphx_glr_named_colors_001_2_00x.png 2.00x :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 85-88 --------------- Tableau Palette --------------- .. GENERATED FROM PYTHON SOURCE LINES 88-91 .. code-block:: Python plot_colortable(mcolors.TABLEAU_COLORS, ncols=2, sort_colors=False) .. image-sg:: /gallery/color/images/sphx_glr_named_colors_002.png :alt: named colors :srcset: /gallery/color/images/sphx_glr_named_colors_002.png, /gallery/color/images/sphx_glr_named_colors_002_2_00x.png 2.00x :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 92-95 ---------- CSS Colors ---------- .. GENERATED FROM PYTHON SOURCE LINES 95-99 .. code-block:: Python plot_colortable(mcolors.CSS4_COLORS) plt.show() .. image-sg:: /gallery/color/images/sphx_glr_named_colors_003.png :alt: named colors :srcset: /gallery/color/images/sphx_glr_named_colors_003.png, /gallery/color/images/sphx_glr_named_colors_003_2_00x.png 2.00x :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 101-124 ----------- XKCD Colors ----------- Matplotlib supports colors from the `xkcd color survey `_, e.g. ``"xkcd:sky blue"``. Since this contains almost 1000 colors, a figure of this would be very large and is thus omitted here. You can use the following code to generate the overview yourself :: xkcd_fig = plot_colortable(mcolors.XKCD_COLORS) xkcd_fig.savefig("XKCD_Colors.png") .. admonition:: References The use of the following functions, methods, classes and modules is shown in this example: - `matplotlib.colors` - `matplotlib.colors.rgb_to_hsv` - `matplotlib.colors.to_rgba` - `matplotlib.figure.Figure.get_size_inches` - `matplotlib.figure.Figure.subplots_adjust` - `matplotlib.axes.Axes.text` - `matplotlib.patches.Rectangle` .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 1.437 seconds) .. _sphx_glr_download_gallery_color_named_colors.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: named_colors.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: named_colors.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_