如何在X轴上添加水平滚动条?

时间:2019-05-13 09:03:58

标签: python plotly

我想在X轴上添加一个(水平)滚动条,因为点数很大。我该怎么办?

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1 个答案:

答案 0 :(得分:1)

您可以使用fig['layout']['xaxis']['rangeslider']来添加图集滑块,其功能超出了滚动条:

情节:

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代码:

这是一个在离线Jupyter Notebook中使用一些随机数据的示例。

# imports
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
from IPython.core.display import display, HTML
import plotly.figure_factory as ff
import plotly.graph_objs as go
import pandas as pd
import numpy as np

# setup
display(HTML("<style>.container { width:35% !important; } .widget-select > select {background-color: gainsboro;}</style>"))
init_notebook_mode(connected=True)
np.random.seed(1)

# random time series sample
df = pd.Series(np.random.randn(1000),index=pd.date_range('1/1/2000', periods=1000)).cumsum().to_frame()+100
df.columns = ['Series1']

# trace / line
trace1 = go.Scatter(
    x=df.index,
    y=df['Series1'],
    name = "AAPL High",
    line = dict(color = 'blue'),
    opacity = 0.4)

# plot layout
layout = dict(
    title='Slider / Scrollbar',
    xaxis=dict(
        rangeselector=dict(
            buttons=list([
                dict(count=1,
                     label='1m',
                     step='month',
                     stepmode='backward'),
                dict(count=6,
                     label='6m',
                     step='month',
                     stepmode='backward'),
                dict(step='all')
            ])
        ),
        rangeslider=dict(
            visible = True
        ),
        type='date'
    )
)

# plot figure
data = [trace1]
fig = dict(data=data, layout=layout)
iplot(fig)

有关更多详细信息,请查看here