lines_bars_and_markers example code: marker_reference.py

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"""
Reference for filled- and unfilled-marker types included with Matplotlib.
"""
from six import iteritems
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D


points = np.ones(3)  # Draw 3 points for each line
text_style = dict(horizontalalignment='right', verticalalignment='center',
                  fontsize=12, fontdict={'family': 'monospace'})
marker_style = dict(linestyle=':', color='cornflowerblue', markersize=10)


def format_axes(ax):
    ax.margins(0.2)
    ax.set_axis_off()


def nice_repr(text):
    return repr(text).lstrip('u')


def split_list(a_list):
    i_half = len(a_list) // 2
    return (a_list[:i_half], a_list[i_half:])


# Plot all un-filled markers
# --------------------------

fig, axes = plt.subplots(ncols=2)

# Filter out filled markers and marker settings that do nothing.
# We use iteritems from six to make sure that we get an iterator
# in both python 2 and 3
unfilled_markers = [m for m, func in iteritems(Line2D.markers)
                    if func != 'nothing' and m not in Line2D.filled_markers]
# Reverse-sort for pretty. We use our own sort key which is essentially
# a python3 compatible reimplementation of python2 sort.
unfilled_markers = sorted(unfilled_markers,
                          key=lambda x: (str(type(x)), str(x)))[::-1]
for ax, markers in zip(axes, split_list(unfilled_markers)):
    for y, marker in enumerate(markers):
        ax.text(-0.5, y, nice_repr(marker), **text_style)
        ax.plot(y * points, marker=marker, **marker_style)
        format_axes(ax)
fig.suptitle('un-filled markers', fontsize=14)


# Plot all filled markers.
# ------------------------

fig, axes = plt.subplots(ncols=2)
for ax, markers in zip(axes, split_list(Line2D.filled_markers)):
    for y, marker in enumerate(markers):
        ax.text(-0.5, y, nice_repr(marker), **text_style)
        ax.plot(y * points, marker=marker, **marker_style)
        format_axes(ax)
fig.suptitle('filled markers', fontsize=14)

plt.show()

Keywords: python, matplotlib, pylab, example, codex (see Search examples)