Plotly：如何在子图中添加箭袋？

Question

我想在plotly 子图中添加箭袋。但我找不到任何方法来做到这一点。

她是我想做的：

fig = plotly.subplots.make_subplots(rows=1, cols=2)
    
    
x,y = np.meshgrid(np.arange(0, 2, .2), np.arange(0, 2, .2))
u = np.cos(x)*y
v = np.sin(x)*y
    
quivers = ff.create_quiver(x, y, u, v)
    
fig.add_trace(data=quivers.data,col=1,row=1)

问题是add_trace 不接受 data 参数，add_traces 不接受 col 和 row 参数。

启动这段代码时，我收到以下错误：

TypeError: add_trace() got an unexpected keyword argument 'data'

谢谢！

Answer 1

使用make_subplots() 似乎无法使用完整的图形对象设置子图。正如您向自己展示的那样，fig.add_trace() 不能直接与来自ff.create_quiver() 图的数据一起使用。 将起作用的是，为fig1.data中的每个x和y元素包含一个唯一的go.Scatter：

'x': [0.0, 0.0, None, ..., 1.7591036229552444, 1.7526465527333175, None],
'y': [0.0, 0.0, None, ..., 1.9752925735580753, 1.9216800167812427, None]

这听起来可能有点复杂，但实际上一点也不复杂。只需制作两个 ff.create_quiver() figures 并将其用于每个人：

# add all fig1.data as individual traces in fig at row=1, col=1
for d in fig1.data:
    subplots.add_trace(go.Scatter(x=d['x'], y=d['y']),
                  row=1, col=1)

使用下面的 sn-p 将生成以下具有 1 行和 2 列的子图设置。甚至包括所有线条的箭头形状。

情节

完整代码

import numpy as np
from plotly.subplots import make_subplots
import plotly.graph_objects as go
import plotly.figure_factory as ff

# data
x,y = np.meshgrid(np.arange(0, 2, .2), np.arange(0, 2, .2))
u = np.cos(x)*y
v = np.sin(x)*y

# quiver plots
fig1 = ff.create_quiver(x, y, u, v)
fig2 = ff.create_quiver(x, y, u*0.9, v*1.1)
    
# subplot setup
subplots = make_subplots(rows=1, cols=2)

# add all fig1.data as individual traces in fig at row=1, col=1
for d in fig1.data:
    subplots.add_trace(go.Scatter(x=d['x'], y=d['y']),
                  row=1, col=1)

# add all fig2.data as individual traces in fig at row=1, col=2
for d in fig1.data:
    subplots.add_trace(go.Scatter(x=d['x'], y=d['y']),
                  row=1, col=2)
subplots.show()

Answer 2

我通过手动调整轴而不是使用make_subplots 找到了solution in the plotly webpage。

import numpy as np
import plotly.figure_factory as ff
import plotly.graph_objects as go

x,y = np.meshgrid(np.arange(0, 2, .2), np.arange(0, 2, .2))
u = np.cos(x)*y
v = np.sin(x)*y

fig1 = ff.create_quiver(x, y, u, v, name='trace1')
fig2 = ff.create_quiver(x, y, u*0.9, v*2, name='trace2')


for i in range(len(fig1.data)):
    fig1.data[i].xaxis = 'x1'
    fig1.data[i].yaxis = 'y1'

for i in range(len(fig2.data)):
    fig2.data[i].xaxis = 'x2'
    fig2.data[i].yaxis = 'y2'

fig1.layout.xaxis1.update({'anchor': 'y1', 'domain': [0.55, 1]})
# apparently [0.55, 1] is relative to the full chart's dimensions
fig1.layout.yaxis1.update({'anchor': 'x1'})

fig2['layout']['xaxis2'] = {'anchor': 'y2', 'domain': [0, 0.45]}
fig2['layout']['yaxis2'] = {'anchor': 'x2'}

fig = go.Figure()
fig.add_traces([fig1.data[0], fig2.data[0]])
fig.layout.update(fig1.layout)
fig.layout.update(fig2.layout)