有没有一个方法有分组的条形图与时间线动画在阴谋？

Question

> #Scatterplot x -axis time y axis = number of tickets 
> 
> import chart_studio import chart_studio.plotly as py  import
> plotly.graph_objs as go import pandas as pd import plotly.express as
> px
> 
> from math import log
> 
> #Selecting the corresponding columns from pyspark dataframe
> 
> y0 = tbl_SP.limit(2000).select('TotalTickets').collect()
> 
> y = [] for sublist in y0:
>     for item in sublist:
>         y.append(item)    x = []
> 
> x0 =  tbl_SP.limit(2000).select('Month').collect() for sublist in x0:
>     for item in sublist:
>         x.append(item) z = []
>          z0 =  tbl_SP.limit(2000).select('Year').collect() for sublist in z0:
>     for item in sublist:
>         z.append(item)
> 
> w = []
>          w0 =  tbl_SP.limit(2000).select('cmdb_ci').collect() for sublist in w0:
>     for item in sublist:
>         w.append(item)
> 
> #Converting data to pandas dataframe
> 
> data = {'TotalTickets':y , 'Month': x, 'Year': z, 'Category': w}
> dataPD = pd.DataFrame(data)
> 
> #Creating barchart figure, last parameter is my attempted solution
> 
> fig = px.bar(dataPD, x='Category', y="TotalTickets", animation_frame =
> 'Month', color = 'Year', barmode = 'group')
> 
> #Changing axis label fig.update_xaxes(title_text=' ')
> 
> 
> 
> 
> 
> #Publish to chart studio
> py.plot(fig, output_type = "div")

希望我能够将柱状图组合在一起，这样2018年特定月份的柱状图就会紧挨着2019年的柱状图，而不是堆叠在一起。

Answer 1

Edit：这里的问题是您的year列是数值，因此在底层图中只有一个跟踪。这就是为什么你会在侧面看到连续的色阶。要强制PX进入分类颜色模式，需要将year列变为字符串列:datapd[“year”]=datapd[“year”].astype(str)

barmode='group'是这样工作的，至少在我的端上是这样工作的：

import plotly.express as px
tips = px.data.tips()
px.bar(tips, x='sex', y="total_bill", animation_frame ='size', color = 'smoker', barmode = 'group')

这将产生一个动画的分组条形图...对你也一样吗？