tds=df[df['publication']=='Towards Data Science'].\set_index('published_date')# Plot read timeasa time series tds[['claps','fans','title']].iplot(y='claps',mode='lines+markers',secondary_y='fans',secondary_y_ti
(在未单独指定颜色之前,这些元素均采用此处color指定的颜色) title:str型,设置横坐标轴上的标题 titlefont...:字典型,同之前所有同名参数 type:str型,用于控制横坐标轴类型,'-'表示根据输入数据自适应调整,'linear'表示线性坐标轴,'log'表示对数坐标轴,'date'表示日期型坐标轴,...,用于控制用图例相关的...
getData(name) try: DatePlot.MakePlotTwo(fission.x, name, high=fission.y, low=fission.z, diff=fission.d) except BaseException: print 2 shutil.copyfile(name + ".html", "/Users/Vicky/Desktop/w/" + name + ".html") os.remove(name + ".html") time.sleep(5) 下面是北京市的效果图:...
a = fission.getDataMarkLine("apitime") DatePlot.MakePlot(a[0], a[1], "time") 下面是生成时间序列表的封装类(我保留了多条折现的方法以及注释了显示规定日期间隔数据的方法): #!/usr/bin/python # coding=utf-8 import plotly.graph_objs as drive import plotly.plotly class DatePlot: def __ini...
#Line Plot #Mean house values by bedrooms and year trace1=go.Scatter(x=df_groupby_datebr.index.values,y=df_groupby_datebr.ZHVI_1bedroom,mode="lines+markers",name="ZHVI_1bedroom",marker=dict(color='rgb(102,255,255)'),text=df_groupby_datebr['ZHVI_1bedroom'])trace2=go.Scatter(x=...
(width=4, dash='dash'))) transparent = 'rgba(0,0,0,0)' fig.update_layout( hovermode='x', showlegend=True # , title_text=str('Court Data for ' + str(year)) , paper_bgcolor=transparent , plot_bgcolor=transparent , title='Monthly Time Series of A and B with Regression' ) fig....
name)try:DatePlot.MakePlotTwo(fission.x, name, high=fission.y, low=fission.z, diff=fission.d)except BaseException:print 2 shutil.copyfile(name + ".html", "/Users/Vicky/Desktop/w/" + name + ".html")os.remove(name + ".html")time.sleep(5)下面是北京市的效果图：
```{r}layout(p,title="unemployment",xaxis=list(# 设置X轴标题和刻度线title="time",showgrid=F),yaxis=list(title="uidx"),annotations=list(# 添加注释list(x=maxdf$date,y=maxdf$uempmed,text="Peak",showarrow=T)))```# 示例## 散点图```{r}library(plotly)mtcars%>%plot_ly(x=~disp...
下面的代码绘制线形图: #Line Plot #Mean house values by bedrooms and year trace1 = go.Scatter( x = df_groupby_datebr.index.values, y = df_groupby_datebr.ZHVI_1bedroom, mode = "lines+markers", name = "ZHVI_1bedroom", marker = dict(color = 'rgb(102,255,255)'), text = df_...
33 time = float(data[1]) 34 self.x.append(day) 35 self.y.append(time) 36 return [self.x, self.y] 37 38 39if __name__ == "__main__": 40 fission = Fission() 41 a = fission.getDataMarkLine("apitime") 42 DatePlot.MakePlot(a[0], a[1], "time") ...