import matplotlib.pyplot as plt
import numpy as np
import plotly.plotly as py
from plotly.graph_objs import *
py.sign_in('uname', 'pass')
trace1 = Scatter(
x=[1,2,3,4,5,6,7,8],
y=[24,25,30,21,33,31,30,29],
mode='lines',
xaxis='x1',
)
layout = Layout(
title="My first plot",
yaxis=YAxis(
title = "y1"
),
xaxis=XAxis(
title= 'x1',
anchor = 'x2'
),
xaxis2=XAxis(
title= 'x2',
side = 'top',
overlaying = 'y'
),
)
data = [trace1]
fig = Figure(data=data, layout=layout)
plot_url = py.plot(fig)
我正在尝试在图的顶部创建第二个X轴(我们称之为x2)。我希望它通过公式x2 = x1 * 0.3链接到x1值。在matplotlib中,我只需要定义另一个轴并重新定义它的范围,就算我放大/缩小也可以保持该比率:
ax2 = ax1.twiny()
start, end = ax1.get_xlim()
ax2.set_xlim(start*0.3, end*0.3)
因此效果应如下所示:
我如何在情节上达到相同的效果?
最佳答案
八九不离十!这是Plotly中多个x轴的简单示例,改编自this example of multiple y-axes in Plotly with Python
import plotly.plotly as py
from plotly.graph_objs import *
trace1 = Scatter(
x=[1,2,3],
y=[24,30,25],
mode='lines',
xaxis='x1',
)
trace2 = Scatter(
x=[10,20,30],
y=[24,25,30],
mode='lines',
xaxis='x2',
)
layout = Layout(
title="Multiple X-Axes",
yaxis=YAxis(
title = "y1"
),
xaxis=XAxis(
title= 'x-axis 1'
),
xaxis2=XAxis(
title= 'x-axis 2',
side = 'top',
overlaying='x1'
)
)
data = [trace1, trace2]
fig = Figure(data=data, layout=layout)
py.plot(fig, filename='multiple x axes')
会创建此图:(交互式版本:https://plot.ly/~chris/3285)
请注意,您可以在各个轴上缩放和平移:
您可以使用
Range
parameter手动指定这些轴的范围,当您通过滚动放大和缩小时,该比例将保持比率。这是一个简单的示例:import plotly.plotly as py
from plotly.graph_objs import *
trace1 = Scatter(
x=[1,2,3],
y=[24,30,25],
mode='lines',
xaxis='x1',
)
trace2 = Scatter(
x=[10,20,30],
y=[24,25,30],
mode='lines',
xaxis='x2',
)
layout = Layout(
title="Multiple X-Axes",
yaxis=YAxis(
title = "y1"
),
xaxis=XAxis(
title= 'x-axis 1',
range=[1, 3]
),
xaxis2=XAxis(
title= 'x-axis 2',
side = 'top',
overlaying='x1',
range=[10, 30]
)
)
data = [trace1, trace2]
fig = Figure(data=data, layout=layout)
py.plot(fig, filename='multiple x axes with custom range')
And here is the graph
关于python - 在绘图中,如何创建链接的X轴?,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/27334585/