Python Matplotlib 自定义标记/符号
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Matplotlib custom marker/symbol
提问by Norfeldt
So there is this guide:
http://matplotlib.org/examples/pylab_examples/scatter_symbol.html
所以有这个指南：http:
//matplotlib.org/examples/pylab_examples/scatter_symbol.html
# http://matplotlib.org/examples/pylab_examples/scatter_symbol.html
from matplotlib import pyplot as plt
import numpy as np
import matplotlib
x = np.arange(0.0, 50.0, 2.0)
y = x ** 1.3 + np.random.rand(*x.shape) * 30.0
s = np.random.rand(*x.shape) * 800 + 500
plt.scatter(x, y, s, c="g", alpha=0.5, marker=r'$\clubsuit$',
label="Luck")
plt.xlabel("Leprechauns")
plt.ylabel("Gold")
plt.legend(loc=2)
plt.show()
But what if you are like me and don't want to use a clubsuit marker...
但是，如果您像我一样不想使用俱乐部套装标记怎么办...
How do you make your own marker _________?
你如何制作自己的标记_____？
UPDATE
更新
What I like about this special marker type is that it's easy to adjust with simple matplotlib syntax:
我喜欢这种特殊标记类型的地方在于，它很容易使用简单的 matplotlib 语法进行调整：
from matplotlib import pyplot as plt
import numpy as np
import matplotlib
x = np.arange(0.0, 50.0, 2.0)
y = x ** 1.3 + np.random.rand(*x.shape) * 30.0
s = np.random.rand(*x.shape) * 800 + 500
plt.plot(x, y, "ro", alpha=0.5, marker=r'$\clubsuit$', markersize=22)
plt.xlabel("Leprechauns")
plt.ylabel("Gold")
plt.show()
采纳答案by Vikas
The most flexible option for matplotlibis marker paths.
最灵活的选项matplotlib是标记路径。
I used Inkscape to convert Smiley face svginto a single SVG path. Inkscape also has options to trace path in raster images.
The I used svg path to convert it to matplotlib.path.Pathusing svgpath2mpl.
我使用 Inkscape 将Smiley face svg转换为单个 SVG 路径。Inkscape 还具有在光栅图像中跟踪路径的选项。我使用 svg 路径将其转换为matplotlib.path.Path使用svgpath2mpl。
!pip install svgpath2mpl matplotlib
from svgpath2mpl import parse_path
import matplotlib.pyplot as plt
import numpy as np
# Use Inkscape to edit SVG,
# Path -> Combine to convert multiple paths into a single path
# Use Path -> Object to path to convert objects to SVG path
smiley = parse_path("""m 739.01202,391.98936 c 13,26 13,57 9,85 -6,27 -18,52 -35,68 -21,20 -50,23 -77,18 -15,-4 -28,-12 -39,-23 -18,-17 -30,-40 -36,-67 -4,-20 -4,-41 0,-60 l 6,-21 z m -302,-1 c 2,3 6,20 7,29 5,28 1,57 -11,83 -15,30 -41,52 -72,60 -29,7 -57,0 -82,-15 -26,-17 -45,-49 -50,-82 -2,-12 -2,-33 0,-45 1,-10 5,-26 8,-30 z M 487.15488,66.132209 c 121,21 194,115.000001 212,233.000001 l 0,8 25,1 1,18 -481,0 c -6,-13 -10,-27 -13,-41 -13,-94 38,-146 114,-193.000001 45,-23 93,-29 142,-26 z m -47,18 c -52,6 -98,28.000001 -138,62.000001 -28,25 -46,56 -51,87 -4,20 -1,57 5,70 l 423,1 c 2,-56 -39,-118 -74,-157 -31,-34 -72,-54.000001 -116,-63.000001 -11,-2 -38,-2 -49,0 z m 138,324.000001 c -5,6 -6,40 -2,58 3,16 4,16 10,10 14,-14 38,-14 52,0 15,18 12,41 -6,55 -3,3 -5,5 -5,6 1,4 22,8 34,7 42,-4 57.6,-40 66.2,-77 3,-17 1,-53 -4,-59 l -145.2,0 z m -331,-1 c -4,5 -5,34 -4,50 2,14 6,24 8,24 1,0 3,-2 6,-5 17,-17 47,-13 58,9 7,16 4,31 -8,43 -4,4 -7,8 -7,9 0,0 4,2 8,3 51,17 105,-20 115,-80 3,-15 0,-43 -3,-53 z m 61,-266 c 0,0 46,-40 105,-53.000001 66,-15 114,7 114,7 0,0 -14,76.000001 -93,95.000001 -76,18 -126,-49 -126,-49 z""")
smiley.vertices -= smiley.vertices.mean(axis=0)
x = np.linspace(-3, 3, 20)
plt.plot(x, np.sin(x), marker=smiley, markersize=20, color='c')
plt.show()
回答by Norfeldt
So found out that it was just using mathtext symbols and not referring to any special vector based marker stored in the matplotlib module...
所以发现它只是使用 mathtext 符号，而不是指存储在 matplotlib 模块中的任何基于特殊向量的标记......
from matplotlib import pyplot as plt
import numpy as np
from numpy.random import randint
import matplotlib
x = np.arange(0.0, 100.0, 2.0)
y = x ** 1.3 + np.random.rand(*x.shape) * 30.0
s = np.random.rand(*x.shape) * 800 + 500
markers = ['\alpha', '\beta', '\gamma', '\sigma','\infty', \
'\spadesuit', '\heartsuit', '\diamondsuit', '\clubsuit', \
'\bigodot', '\bigotimes', '\bigoplus', '\imath', '\bowtie', \
'\bigtriangleup', '\bigtriangledown', '\oslash' \
'\ast', '\times', '\circ', '\bullet', '\star', '+', \
'\Theta', '\Xi', '\Phi', \
'$', '\#', '\%', '\S']
def getRandomMarker():
return "$"+markers[randint(0,len(markers),1)]+"$"
def getMarker(i):
# Use modulus in order not to have the index exceeding the lenght of the list (markers)
return "$"+markers[i % len(markers)]+"$"
for i, mi in enumerate(markers):
plt.plot(x[i], y[i], "b", alpha=0.5, marker=getRandomMarker(), markersize=randint(16,26,1))
plt.plot(x[i], y[i]+50, "m", alpha=0.5, marker=getMarker(i), markersize=randint(16,26,1))
# Let's see if their "center" is located where we expect them to be...
plt.plot(x[i], y[i]+100, "y", alpha=0.5, marker=getMarker(i), markersize=24)
plt.plot(x[i], y[i]+100, "k+", markersize=12, markeredgewidth=2)
plt.xlabel("x-axis")
plt.ylabel("y-axis")
plt.xlim( -5, plt.xlim()[1]+5 )
plt.ylim( 0, plt.ylim()[1]*1.1 )
plt.gcf().set_size_inches(12,6)
plt.show()
