# visual_plotly

**Repository Path**: NFUNM018/visual_plotly

## Basic Information

- **Project Name**: visual_plotly
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-11-09
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

import plotly as py
import plotly.graph_objs as go

美国 = go.Scatter(
    x=[pd.to_datetime('01/01/{y}'.format(y=x), format="%m/%d/%Y") for x in dfe.columns.values],
    y=dfe.loc["美国",:].values,
    name = "美国"
)

欧盟28国 = go.Scatter(
    x=[pd.to_datetime('01/01/{y}'.format(y=x), format="%m/%d/%Y") for x in dfe.columns.values],
    y=dfe.loc["欧盟28国",:].values,
    name = "欧盟28国"
)

layout = dict(xaxis=dict(rangeselector=dict( buttons=list([
                                                dict(count=3,
                                                     label="3年",
                                                     step="year",
                                                     stepmode="backward"),
                                                dict(count=5,
                                                     label="5年",
                                                     step="year",
                                                     stepmode="backward"),
                                                dict(count=10,
                                                     label="10年",
                                                     step="year",
                                                     stepmode="backward"),
                                                dict(count=20,
                                                     label="20年",
                                                     step="year",
                                                     stepmode="backward"),
                                                dict(step="all")
                                            ])),
                         rangeslider=dict(bgcolor="#70EC57"),
                         title='年份'
                        ),
              yaxis=dict(title='碳排放量'),
              title="碳排放量对比"               
             )

fig = dict(data=[美国,欧盟28国], layout=layout) 

py.offline.plot(fig, filename = "输出中文_含时间序列的滑块选择器.html")