Python Plotly - Pivot创造了奇怪的传奇

Question

我有一个数据框：

    Year    Type              Total
0   2005    Journal Article     635
1   2005    Book                173
2   2005    Book Chapter         27
3   2005    Consultancy Report    1
4   2005    Working Paper       329
.....

然后我转动它以使其成为合适的格式（借助数据透视表的格式，这是出于说明的目的）：

dfA = pd.pivot_table(dfPub, index=['Year'], columns=['Type'], fill_value=0)


    Total
Type    Book    Book Chapter    Book edited Conference Proceeding_Abstract  Consultancy Report  Journal Article Manual / Guide  Manual/Guide    Monograph   Other   Policy briefing_report  Scholarly edition   Systematic review   Technical Report    Technical Standard  Thesis  Working Paper
Year                                                                    
2005    173 27  0   174 1   635 0   0   0   7   0   0   0   81  0   1   329
2006    272 53  0   276 0   1078    0   0   0   14  2   0   0   91  0   11  532
2007    321 114 0   295 1   1588    0   0   0   5   2   0   0   139 0   10  548
2008    397 194 2   502 1   2237    0   0   4   19  4   0   0   142 0   10  580
2009    402 298 4   927 5   2876    0   0

当我使用plotly创建堆积条形图时，我得到：

在我的传奇中每''Total','之前放置'Type'我做错了什么？有没有办法删除它？谢谢

我尝试过编辑列名，但它不起作用：

dfA.rename(columns={"('Total', 'Book')":"Book", "('Total', 'Book Chapter')":"Book Chapter"})
list(dfA)

[('Total', 'Book'),
 ('Total', 'Book Chapter'),
 ('Total', 'Book edited'),
 ('Total', 'Conference Proceeding_Abstract'),
 ('Total', 'Consultancy Report'),
 ('Total', 'Journal Article'),
 ('Total', 'Manual / Guide'),
 ('Total', 'Manual/Guide'),
 ('Total', 'Monograph'),
 ('Total', 'Other'),
 ('Total', 'Policy briefing_report'),
 ('Total', 'Scholarly edition'),
 ('Total', 'Systematic review'),
 ('Total', 'Technical Report'),
 ('Total', 'Technical Standard'),
 ('Total', 'Thesis'),
 ('Total', 'Working Paper')]

Answer 1

您为剧情提供的表格有两个列标题。作为整个表的第一列标题和作为第二列的正确列标题的年份，因此它标记了每个字段的总计。尝试重命名列标题，或删除列标题并重命名。