在Python中使用 Plotly 绘制箭袋图

Plotly 是一个Python库，用于设计图形，尤其是交互式图形。它可以绘制各种图形和图表，如直方图、条形图、箱线图、散布图等等。它主要用于数据分析和财务分析。 plotly 是一个交互式可视化库。

箭袋图

颤动图将速度矢量显示为箭头，在点 (x, y) 处具有分量 (u, v)。 quiver(x, y, u, v) 在 x 和 y 中的每对对应元素中指定的坐标处将向量绘制为箭头。使用箭袋图的主要优点是它可以表示更大范围的量级，而不会使箭头缩小为点或彼此重叠。

Syntax: create_quiver(x, y, u, v, scale=0.1, arrow_scale=0.3, angle=0.3490658503988659, scaleratio=None)

Parameters:

x: x coordinates of the arrow locations

y: y coordinates of the arrow locations

u: x components of the arrow vectors

v: y components of the arrow vectors

arrow_scale: value multiplied to length of barb to get length of arrowhead. Default = .3

angle: angle of arrowhead. Default = pi/9

编程需要懂一点英语

例子：

Python3

import plotly.figure_factory as ff
import numpy as np
  
x = np.linspace(-2, 2, 60)
y = np.linspace(-1, 1, 60)
Y, X = np.meshgrid(x, y)
u = 1 - X**2 + Y
v = -1 + X - Y**2
  
# Create quiver plot
fig = ff.create_quiver(x, y, u, v, arrow_scale=.1)
  
fig.show()

Python3

import plotly.figure_factory as ff
import plotly.graph_objects as go
import numpy as np
  
x = np.linspace(-2, 2, 60)
y = np.linspace(-1, 1, 60)
Y, X = np.meshgrid(x, y)
u = np.cos(X)*Y
v = np.sin(X)*Y
  
# Create quiver plot
fig = ff.create_quiver(x, y, u, v, arrow_scale=.1)
  
# Adding scatter as the origin
fig.add_trace(go.Scatter(x = [0], y = [0],
                        mode = 'markers',
                         marker_size = 15
                        ))
  
fig.show()

输出：

用 Quiver Plot 绘制点

在 graph_objects 类的add_trace()方法的帮助下，可以用点显示一个颤动图。散点图的添加方式显示了箭袋的原点。

例子：

Python3

import plotly.figure_factory as ff
import plotly.graph_objects as go
import numpy as np
  
x = np.linspace(-2, 2, 60)
y = np.linspace(-1, 1, 60)
Y, X = np.meshgrid(x, y)
u = np.cos(X)*Y
v = np.sin(X)*Y
  
# Create quiver plot
fig = ff.create_quiver(x, y, u, v, arrow_scale=.1)
  
# Adding scatter as the origin
fig.add_trace(go.Scatter(x = [0], y = [0],
                        mode = 'markers',
                         marker_size = 15
                        ))
  
fig.show()

输出：