使用 plotly,您可以使用fig['layout']['xaxis']['rangeslider']
超过滚动条的功能添加范围滑块:
阴谋:
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,请查看此处。