[英]Concat two columns with Pandas
嘿,我試圖在熊貓中合並兩列,但是由於某種原因,我在這樣做時遇到了麻煩。
這是我的數據:
OrderId OrderDate UserId TotalCharges CommonId PupId PickupDate Month Year
0 262 1/11/2009 47 $ 50.67 TRQKD 2 1/12/2009 1 2009
1 278 1/20/2009 47 $ 26.60 4HH2S 3 1/20/2009 1 2009
2 294 2/3/2009 47 $ 38.71 3TRDC 2 2/4/2009 2 2009
3 301 2/6/2009 47 $ 53.38 NGAZJ 2 2/9/2009 2 2009
4 302 2/6/2009 47 $ 14.28 FFYHD 2 2/9/2009 2 2009
我想采用“月份”和“年份”列,以便它們創建一個具有以下格式的新列:
"2009-1"
"2009-1"
"2009-1"
"2009-2"
"2009-2"
當我嘗試這個:
df['OrderPeriod'] = df[['Year', 'Month']].apply(lambda x: '-'.join(x), axis=1)
我收到此錯誤:
TypeError Traceback (most recent call last)
<ipython-input-24-ebbfd07772c4> in <module>()
----> 1 df['OrderPeriod'] = df[['Year', 'Month']].apply(lambda x: '-'.join(x), axis=1)
/Users/robertdefilippi/miniconda2/lib/python2.7/site-packages/pandas/core/frame.pyc in apply(self, func, axis, broadcast, raw, reduce, args, **kwds)
3970 if reduce is None:
3971 reduce = True
-> 3972 return self._apply_standard(f, axis, reduce=reduce)
3973 else:
3974 return self._apply_broadcast(f, axis)
/Users/robertdefilippi/miniconda2/lib/python2.7/site-packages/pandas/core/frame.pyc in _apply_standard(self, func, axis, ignore_failures, reduce)
4062 try:
4063 for i, v in enumerate(series_gen):
-> 4064 results[i] = func(v)
4065 keys.append(v.name)
4066 except Exception as e:
<ipython-input-24-ebbfd07772c4> in <lambda>(x)
----> 1 df['OrderPeriod'] = df[['Year', 'Month']].apply(lambda x: '-'.join(x), axis=1)
TypeError: ('sequence item 0: expected string, numpy.int32 found', u'occurred at index 0')
我真的不知道如何連接這兩列。
救命?
您需要將值轉換為字符串才能使用連接。
df['OrderPeriod'] = df[['Year', 'Month']]\
.apply(lambda x: '-'.join(str(value) for value in x), axis=1)
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