本文介绍了如何使用 plotly python 中的按钮更改数据和图形?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
基于此代码直接来自 plotly 的 tut 页面:
Based on this code directly from plotly's tut page:
https://plot.ly/python/dropdowns/
现在,如果我不仅要更改图表类型,还要更改数据源及其图表类型,该怎么办?是否可以?
Now, what if I want to change not just the chart type but rather the data source and its chart type?Is it possible?
我玩过这个设置:
data1 = go.Surface(z=df.values.tolist(), colorscale='Viridis')
data2 = go.Heatmap(z=df.values.tolist())
buttons=list([
dict(
args=[data1],
label='3D Surface',
method='restyle'
),
dict(
args=[data2],
label='Heatmap',
method='restyle'
)
])
但是,图表显示了,但被覆盖了.当我点击下拉菜单中的任何项目时,图表完全消失了.
However, the graphs are shown, but overlayed. And when I click any item in the dropdown menu, the graph is completely gone.
推荐答案
我自己找到了一个解决方案,其实就是基于tut:
I've found a solution myself, that is actually based on the tut:
import plotly
import plotly.graph_objs as go
from datetime import datetime
import pandas_datareader as web
df = web.DataReader("aapl", 'google',
datetime(2015, 1, 1),
datetime(2016, 7, 1))
trace_high = go.Bar( x=df.index,
y=df.High,
name='High')
trace_low = go.Scatter(x=df.index,
y=df.Low,
name='Low',
line=dict(color='#F06A6A'))
data = [trace_high, trace_low]
updatemenus = list([
dict(active=-1,
buttons=list([
dict(label = 'High',
method = 'update',
args = [{'visible': [True, False]},
{'title': 'Yahoo High'}]),
dict(label = 'Low',
method = 'update',
args = [{'visible': [False, True]},
{'title': 'Yahoo Low'}])
]),
)
])
layout = dict(title='Yahoo', showlegend=False,
updatemenus=updatemenus)
fig = dict(data=data, layout=layout)
plotly.offline.plot(fig, auto_open=False, show_link=False)
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