我有以下代码:
def joinOneRow(ser, df):
temp = df[df.index ==
max(df.index[df.index <=
ser.index[0]])]
return temp.values[0][0], temp.values[0][1];
def joinWithData(df1, df):
askTemp, bidTemp = zip(*df1.apply(joinOneRow, args = (df)))
return askTemp, bidTemp
df1中的索引,df是一个时间戳。df有2列。 问题是当我想做以下几行时:
askTemp, bidTemp = zip(*trades.apply(ef.joinWithData, args = ob))
我有个错误:
“数据帧的真值是模糊的。使用a.empty、a.bool()、a.item()、a.any()或a.all()
回溯更新:
Traceback (most recent call last):
File "<ipython-input-5-f74779a26578>", line 1, in <module>
askTemp, bidTemp = zip(*trades1.apply(ef.joinWithData, args = ob1))
File "C:\Anaconda\lib\site-packages\pandas\core\frame.py", line 6003, in
apply
kwds=kwds)
File "C:\Anaconda\lib\site-packages\pandas\core\apply.py", line 29, in
frame_apply
args=args, kwds=kwds)
File "C:\Anaconda\lib\site-packages\pandas\core\apply.py", line 39, in
__init__
self.args = args or ()
File "C:\Anaconda\lib\site-packages\pandas\core\generic.py", line 1573,
in __nonzero__
.format(self.__class__.__name__))
ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
目前没有回答
相关问题 更多 >
编程相关推荐