錯誤當熊貓數據幀

的合併列我有這樣的數據幀：錯誤當熊貓數據幀

    Telefone1 Telefone2 
CNPJ         
44167450000149 1332385314 1332385314 
56095862000108 2125439090 2125439090 
59664391000191 1143990005 1143990005

我想「Telefone1」和「Telefone2」合併成一個單一的列。它應該是這樣的：

   Telefone 
CNPJ         
44167450000149 1332385314,1332385314 
56095862000108 2125439090,2125439090 
59664391000191 1143990005,1143990005

對於我使用這個：

df['Telefone']=df.Telefone1.astype(str)+","+df.Telefone2.astype(str)

而且我得到這個回溯：

Traceback (most recent call last): 
File "/file.py", line 507, in <module> 
'file') 
File "file.py", line 347, in function 
df['Telefone']=df.Telefone1.astype(str)+","+df.Telefone2.astype(str) 
File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/frame.py", line 2357, in __setitem__ 
self._set_item(key, value) 
File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/frame.py", line 2424, in _set_item 
NDFrame._set_item(self, key, value) 
File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/generic.py", line 1464, in _set_item 
self._data.set(key, value) 
File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/internals.py", line 3418, in set 
self.insert(len(self.items), item, value) 
File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/internals.py", line 3519, in insert 
placement=slice(loc, loc + 1)) 
File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/internals.py", line 2518, in make_block 
return klass(values, ndim=ndim, fastpath=fastpath, placement=placement) 
File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/internals.py", line 1663, in __init__ 
placement=placement, **kwargs) 
File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/internals.py", line 90, in __init__ 
len(self.mgr_locs))) 
ValueError: Wrong number of items passed 4, placement implies 1

我在做什麼錯在這裏？字符串訪問的

來源

2017-09-07 abutremutante

您的列名中有錯字。兩列名爲'Telefone1'的列，但您正在嘗試添加'Telefone1'和'Telefone2'。當我爲此糾正時，你的代碼工作正常。 – piRSquared

我想你應該使用.map函數而不是astype，請嘗試下面的代碼：dataframe [「Telefone」] = df [「Telefone1」]。map（str）+ df [「Telefone1」]和列名是telefone1 –

實際上，@piRSquared是我在這裏把這個錯誤帶到了stackoverflow。這是我在打字時犯的一個錯誤（已經在這裏修復了）。在我的代碼中，它是正確的，它正在得到這個回溯。 – abutremutante

>>> (df.iloc[:, 0].astype(str) + ',' + df.iloc[:, 1].astype(str)).to_frame('Telephone') 
          Telefone 
CNPJ         
44167450000149 1332385314,1332385314 
56095862000108 2125439090,2125439090 
59664391000191 1143990005,1143990005

或：

(df.loc[:, 'Telefone1'].astype(str) + ',' + df.loc[:, 'Telefone2'].astype(str)).to_frame('Telefone'))

這與您的樣本數據。如果發生錯誤，請創建一個新列以指示每個字段的長度並對此值進行排序。可能會有數據錯誤。

來源

2017-09-07 23:59:02 Alexander

使用貓（）函數：

df = df.astype(str) 
df['Telefone'] = df['Telefone1'].str.cat(df['Telefone2'])

來源

2017-09-07 23:34:14

謝謝，但這帶我到另一個錯誤：AttributeError：'DataFrame'對象沒有屬性'str' – abutremutante

@abutremutante，檢查編輯答案 –

df = df.applymap(str)

選項1

str.cat

df = pd.DataFrame({'Telefone' : df.Telefone1.str.cat(df.Telefone2, sep=',')}, index=df.index) 
df 
          Telefone 
CNPJ         
44167450000149 1332385314,1332385314 
56095862000108 2125439090,2125439090 
59664391000191 1143990005,1143990005

選項2

df.apply

df = df.apply(','.join, 1).to_frame(name='Telefone') 
df 
          Telefone 
CNPJ         
44167450000149 1332385314,1332385314 
56095862000108 2125439090,2125439090 
59664391000191 1143990005,1143990005

來源

2017-09-08 03:45:51

錯誤當熊貓數據幀

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