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"""
===============
Matplotlib logo
===============
This example generates the current matplotlib logo.
"""
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.cm as cm
import matplotlib.font_manager
from matplotlib.patches import PathPatch, Rectangle
from matplotlib.text import TextPath
import matplotlib.transforms as mtrans
MPL_BLUE = '#11557c'
def get_font_properties():
# The original font is Calibri, if that is not installed, we fall back
# to Carlito, which is metrically equivalent.
if 'Calibri' in matplotlib.font_manager.findfont('Calibri:bold'):
return matplotlib.font_manager.FontProperties(family='Calibri',
weight='bold')
if 'Carlito' in matplotlib.font_manager.findfont('Carlito:bold'):
print('Original font not found. Falling back to Carlito. '
'The logo text will not be in the correct font.')
return matplotlib.font_manager.FontProperties(family='Carlito',
weight='bold')
print('Original font not found. '
'The logo text will not be in the correct font.')
return None
def create_icon_axes(fig, ax_position, lw_bars, lw_grid, lw_border, rgrid):
"""
Create a polar Axes containing the matplotlib radar plot.
Parameters
----------
fig : matplotlib.figure.Figure
The figure to draw into.
ax_position : (float, float, float, float)
The position of the created Axes in figure coordinates as
(x, y, width, height).
lw_bars : float
The linewidth of the bars.
lw_grid : float
The linewidth of the grid.
lw_border : float
The linewidth of the Axes border.
rgrid : array-like
Positions of the radial grid.
Returns
-------
ax : matplotlib.axes.Axes
The created Axes.
"""
with plt.rc_context({'axes.edgecolor': MPL_BLUE,
'axes.linewidth': lw_border}):
ax = fig.add_axes(ax_position, projection='polar')
ax.set_axisbelow(True)
N = 7
arc = 2. * np.pi
theta = np.arange(0.0, arc, arc / N)
radii = np.array([2, 6, 8, 7, 4, 5, 8])
width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])
bars = ax.bar(theta, radii, width=width, bottom=0.0, align='edge',
edgecolor='0.3', lw=lw_bars)
for r, bar in zip(radii, bars):
color = *cm.jet(r / 10.)[:3], 0.6 # color from jet with alpha=0.6
bar.set_facecolor(color)
ax.tick_params(labelbottom=False, labeltop=False,
labelleft=False, labelright=False)
ax.grid(lw=lw_grid, color='0.9')
ax.set_rmax(9)
ax.set_yticks(rgrid)
# the actual visible background - extends a bit beyond the axis
ax.add_patch(Rectangle((0, 0), arc, 9.58,
facecolor='white', zorder=0,
clip_on=False, in_layout=False))
return ax
def create_text_axes(fig, height_px):
"""Create an Axes in *fig* that contains 'matplotlib' as Text."""
ax = fig.add_axes((0, 0, 1, 1))
ax.set_aspect("equal")
ax.set_axis_off()
path = TextPath((0, 0), "matplotlib", size=height_px * 0.8,
prop=get_font_properties())
angle = 4.25 # degrees
trans = mtrans.Affine2D().skew_deg(angle, 0)
patch = PathPatch(path, transform=trans + ax.transData, color=MPL_BLUE,
lw=0)
ax.add_patch(patch)
ax.autoscale()
def make_logo(height_px, lw_bars, lw_grid, lw_border, rgrid, with_text=False):
"""
Create a full figure with the Matplotlib logo.
Parameters
----------
height_px : int
Height of the figure in pixel.
lw_bars : float
The linewidth of the bar border.
lw_grid : float
The linewidth of the grid.
lw_border : float
The linewidth of icon border.
rgrid : sequence of float
The radial grid positions.
with_text : bool
Whether to draw only the icon or to include 'matplotlib' as text.
"""
dpi = 100
height = height_px / dpi
figsize = (5 * height, height) if with_text else (height, height)
fig = plt.figure(figsize=figsize, dpi=dpi)
fig.patch.set_alpha(0)
if with_text:
create_text_axes(fig, height_px)
ax_pos = (0.535, 0.12, .17, 0.75) if with_text else (0.03, 0.03, .94, .94)
ax = create_icon_axes(fig, ax_pos, lw_bars, lw_grid, lw_border, rgrid)
return fig, ax
# %%
# A large logo:
make_logo(height_px=110, lw_bars=0.7, lw_grid=0.5, lw_border=1,
rgrid=[1, 3, 5, 7])
# %%
# A small 32px logo:
make_logo(height_px=32, lw_bars=0.3, lw_grid=0.3, lw_border=0.3, rgrid=[5])
# %%
# A large logo including text, as used on the matplotlib website.
make_logo(height_px=110, lw_bars=0.7, lw_grid=0.5, lw_border=1,
rgrid=[1, 3, 5, 7], with_text=True)
plt.show()
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