[英]Pivot table returns a key error in Pandas
I have a dataframe called performanceData
that looks like: 我有一个名为performanceData
的数据框,看起来像:
id settle_price settle_price_acc pos trade \
date
2016-01-04 BBG.XTKS.9716.S 14.096973 14.096973 8100.0 -1700.0
2016-01-04 BBG.XTKS.9065.S 4.460498 4.460498 4000.0 20000.0
2016-01-04 BBG.XTKS.7966.S 17.599029 17.599029 -500.0 27700.0
2016-01-04 BBG.XTKS.3774.S 19.514999 19.514999 0.0 200.0
2016-01-04 BBG.XTKS.5110.S 15.143828 15.143828 -200.0 0.0
nominal_posn_size abs_nominal_posn_size abs_nominal_trade_size
date
2016-01-04 114185.481138 114185.481138 23964.854066
2016-01-04 17841.990960 17841.990960 89209.954800
2016-01-04 -8799.514730 8799.514730 487493.116042
2016-01-04 0.000000 0.000000 3902.999806
2016-01-04 -3028.765682 3028.765682 0.000000
The dataframe is large and has dates for the last 10 years (above is the head). 数据框很大,并且具有最近10年的日期(上方是头部)。 I am trying to create a pivot table on date (for example summing all of the abs_nominal_trade_size values for each date. However I get a key error 我试图在日期上创建数据透视表(例如,将每个日期的所有abs_nominal_trade_size值相加。但是我遇到了关键错误
KeyError: 'date'
When I try and pivot on the date using the following code: 当我尝试使用以下代码确定日期时:
e = performanceData.pivot_table(index='date', columns=['abs_nominal_trade_size','abs_nominal_posn_size','nominal_posn_size'], values='Value')
Let's try: 我们试试吧:
performanceData.reset_index()\
.pivot_table(index='date',
values=['abs_nominal_trade_size',
'abs_nominal_posn_size',
'nominal_posn_size'],
aggfunc='sum')
Output: 输出:
abs_nominal_posn_size abs_nominal_trade_size nominal_posn_size
date
2016-01-04 143855.75251 604570.924714 120199.191686
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