如何在Python Plotly中创建具有共享x轴和范围滑块的子图

时间:2017-01-20 12:04:34

标签: python plotly

我正在尝试用Python和Plotly创建一个特定的情节。我想知道是否可以创建一个带有3个垂直排列的子图(https://plot.ly/python/subplots/)的图,它们有一个共享的x轴,还有一个控制x轴的范围滑块(https://plot.ly/python/range-slider/)? / p>

2 个答案:

答案 0 :(得分:0)

截至2017年1月,您无法执行此操作,请参阅此处:https://github.com/plotly/plotly.js/issues/1250

答案 1 :(得分:0)

今天,2017年1月24日,我设法创建了共享一个x轴的堆积图,并结合了一个范围滑块。但是,问题是y轴的范围是自动设定的。我无法控制它。这对我来说是个问题。我的代码是:

trace_1 = go.Scatter(
    x=time_station1,
    y=turb_station1,
    mode = 'lines+markers',
    name = 'Turbidity',
    connectgaps = False,
    marker = dict(
        size = 5,
        color = 'rgb(64, 97, 139)',
        line = dict(
            width = 1,
            color = 'rgb(64, 97, 139)' 
        )
    )
)
trace_2 = go.Scatter(
    x=time_station1,
    y=battery_station1,
    yaxis='y2',
    mode = 'lines+markers',
    name = 'Battery',
    connectgaps = False,
    marker = dict(
        size = 5,
        color = 'rgb(117, 15, 7)',
        line = dict(
            width = 1,
            color = 'rgb(117, 15, 7)'
        )
    )
)
trace_3 = go.Scatter(
    x=time_station1,
    y=cond_station1,
    yaxis='y3',
    mode = 'lines+markers',
    name = 'Conductivity',
    connectgaps = False,
    marker = dict(
        size = 5,
        color = 'rgb(130, 0, 132)',
        line = dict(
            width = 1,
            color = 'rgb(130, 0, 132)'
        )
    )
)
trace_4 = go.Scatter(
    x=time_station1,
    y=depth_station1,
    yaxis='y4',
    mode = 'lines+markers',
    name = 'Depth',
    connectgaps = False,
    marker = dict(
        size = 5,
        color = 'rgb(204, 100, 0)',
        line = dict(
            width = 1,
            color = 'rgb(204, 100, 0)'
        )
    )
)
trace_5 = go.Scatter(
    x=time_station1,
    y=temp_station1,
    yaxis='y5',
    mode = 'lines+markers',
    name = 'Temperature',
    connectgaps = False,
    marker = dict(
        size = 5,
        color = 'rgb(255, 255, 0)',
        line = dict(
            width = 1,
            color = 'rgb(255, 255, 0)'
        )
    )
)

layout = go.Layout(
    title='Station ABC',
    xaxis = dict(
        rangeselector=dict(
            buttons = list([
                dict(count=1,
                     label='1min',
                     step='minute',
                     stepmode='backward'),
                dict(count=24,
                     label='24h',
                     step='hour',
                     stepmode='backward'),    
            ])
        ),
        rangeslider=dict(),
        type='date',
        title='Date and Time'
    ),
    yaxis=dict(
        domain=[0,0.15]),
    yaxis2=dict(
        domain=[0.2,0.35]),
    yaxis3=dict(
        domain=[0.4,0.55]),
    yaxis4=dict(
        domain=[0.4,0.75]),
    yaxis5=dict(
        domain=[0.8,1]),
        )

data = [trace_1, trace_2, trace_3, trace_4, trace_5]

plot_url = py.plot(fig, filename='offline plot.html')