绘图-使用共享的滑块变量进行多条迹线 [英] plotly - multiple traces using a shared slider variable

问题描述

正如标题所示，我正在努力创建一个绘图图表，其中包含多条线，这些线是同一滑块变量的函数.

As the title hints, I'm struggling to create a plotly chart that has multiple lines that are functions of the same slider variable.

我使用文档中的零碎内容一起破解了一些东西: https://pastebin.com/eBixANqA .这适用于一行.

I hacked something together using bits and pieces from the documentation: https://pastebin.com/eBixANqA. This works for one line.

现在，我想在同一张图表中添加更多折线，但这就是我正在努力的地方. https://pastebin.com/qZCMGeAa . 我得到一个PlotlyListEntryError: Invalid entry found in 'data' at index, '0' Path To Error: ['data'][0]

Now I want to add more lines to the same chart, but this is where I'm struggling. https://pastebin.com/qZCMGeAa. I'm getting a PlotlyListEntryError: Invalid entry found in 'data' at index, '0' Path To Error: ['data'][0]

有人可以帮忙吗?

推荐答案

您似乎正在使用 https: //plot.ly/python/sliders/作为参考，很遗憾，我没有时间测试您的代码，但这应该很容易适应.如果创建每条迹线，都希望以与以前相同的方式进行绘制:

It looks like you were using https://plot.ly/python/sliders/ as a reference, unfortunately I don't have time to test with your code, but this should be easily adaptable. If you create each trace you want to plot in the same way that you have been:

trace1 = [dict(
            type='scatter',
            visible = False,
            name = "trace title",
            mode = 'markers+lines',
            x = x[0:step],
            y = y[0:step]) for step in range(len(x))]

在示例中我注意到，我的数据来自预定义列表，您正在使用函数，这可能是您真正需要做的唯一更改，除了您自己的步长等.

where I note in my example my data is coming from pre-defined lists, where you are using a function, that's probably the only change you'll really need to make besides your own step size etc.

如果您以相同的方式创建第二条跟踪，例如

If you create a second trace in the same way, for example

trace2 = [dict(
            type='scatter',
            visible = False,
            name = "trace title",
            mode = 'markers+lines',
            x = x2[0:step],
            y = y2[0:step]) for step in range(len(x2))]`

然后，您可以将所有数据与以下内容放在一起

Then you can put all your data together with the following

all_traces = trace1 + trace2

然后您可以继续进行绘制，前提是您已正确设置了布局(在单个跟踪示例中应保持不变):

then you can just go ahead and plot it provided you have your layout set up correctly (it should remain unchanged from your single trace example):

fig = py.graph_objs.Figure(data=all_traces, layout=layout)
py.offline.iplot(fig)

如果您遵循 https://plot.ly/python/sliders/，则您的滑块应控制两条轨迹使滑块正常工作.您可以通过这种方式组合多个数据字典，以使多个图由同一滑块控制.

Your slider should control both traces provided you were following https://plot.ly/python/sliders/ to get the slider working. You can combine multiple data dictionaries this way in order to have multiple plots controlled by the same slider.

我确实注意到，如果您的包含数据的字典列表的长度不同，那么这将使您感到混乱.

I do note that if your lists of dictionaries containing data are of different length, that this gets topsy-turvy.

这篇关于绘图-使用共享的滑块变量进行多条迹线的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！