Python中的 Matplotlib.patches.ArrowStyle 类
Matplotlib是Python中用于数组二维图的惊人可视化库。 Matplotlib 是一个基于 NumPy 数组构建的多平台数据可视化库,旨在与更广泛的 SciPy 堆栈配合使用。
matplotlib.patches.ArrowStyle
matplotlib.patches.ArrowStyle
类是一个容器类,它定义了许多箭头样式类,用于沿着提供的路径创建箭头路径。这些主要与 FancyArrowpatch 一起使用。
Syntax: class matplotlib.patches.ArrowStyle
以下子类是为各种箭头样式定义的;
Class | Name | Attributes |
---|---|---|
Curve | – | None |
CurveB | -> | head_length=0.4, head_width=0.2 |
BracketB | -[ | widthB=1.0, lengthB=0.2, angleB=None |
CurveFilledB | -|> | head_length=0.4, head_width=0.2 |
CurveA | <- | head_length=0.4, head_width=0.2 |
CurveAB | <-|> | head_length=0.4, head_width=0.2 |
CurveFilledA | <|- | head_length=0.4, head_width=0.2 |
CurveFilledAB | <|-|> | head_length=0.4, head_width=0.2 |
BracketA | ]- | widthA=1.0, lengthA=0.2, angleA=None |
BracketAB | ]-[ | widthA=1.0, lengthA=0.2, angleA=None, widthB=1.0, lengthB=0.2, angleB=None |
Fancy | fancy | head_length=0.4, head_width=0.4, tail_width=0.4 |
Simple | simple | head_length=0.5, head_width=0.5, tail_width=0.2 |
Wedge | wedge | tail_width=0.3, shrink_factor=0.5 |
BarAB | |-| | widthA=1.0, angleA=None, widthB=1.0, angleB=None |
示例 1:
import matplotlib.pyplot as plt
from matplotlib.patches import ArrowStyle
plt.figure(1, figsize =(9, 9))
ArrowStyle("Wedge")
ax = plt.subplot(111)
ax.annotate("",
xy =(0.2, 0.2), xycoords ='data',
xytext =(0.8, 0.8), textcoords ='data',
arrowprops = dict(arrowstyle ="Wedge",
connectionstyle ="arc3"),
)
plt.show()
输出:
示例 2:
import matplotlib.patches as mpatch
import matplotlib.pyplot as plt
figheight = 8
fig = plt.figure(figsize =(9, figheight), dpi = 80)
fontsize = 0.4 * fig.dpi
def make_boxstyles(ax):
styles = mpatch.BoxStyle.get_styles()
for i, (stylename, styleclass) in enumerate(sorted(styles.items())):
ax.text(0.5,
(float(len(styles)) - 0.5 - i)/len(styles),
stylename,
ha ="center",
size = fontsize,
transform = ax.transAxes,
bbox = dict(boxstyle = stylename,
fc ="g", ec ="r"))
def make_arrowstyles(ax):
styles = mpatch.ArrowStyle.get_styles()
ax.set_xlim(0, 4)
ax.set_ylim(0, figheight)
for i, (stylename, styleclass) in enumerate(sorted(styles.items())):
# /figheight
y = (float(len(styles)) - 0.25 - i
p = mpatch.Circle((3.2, y), 0.2, fc ="r")
ax.add_patch(p)
ax.annotate(stylename, (3.2, y),
(2., y),
# xycoords ="figure fraction",
# textcoords ="figure fraction",
ha ="right", va ="center",
size = fontsize,
arrowprops = dict(arrowstyle = stylename,
patchB = p,
shrinkA = 5,
shrinkB = 5,
fc ="w", ec ="r",
connectionstyle ="arc3, rad =-0.05",
),
bbox = dict(boxstyle ="square", fc ="g"))
ax.xaxis.set_visible(False)
ax.yaxis.set_visible(False)
ax1 = fig.add_subplot(121, frameon = False, xticks =[], yticks =[])
make_boxstyles(ax1)
ax2 = fig.add_subplot(122, frameon = False, xticks =[], yticks =[])
make_arrowstyles(ax2)
plt.show()
输出:
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