[英]Appending two dataframes with same columns, different order
I have two pandas dataframes. 我有两个pandas数据帧。
noclickDF = DataFrame([[0,123,321],[0,1543,432]], columns=['click', 'id','location'])
clickDF = DataFrame([[1,123,421],[1,1543,436]], columns=['click', 'location','id'])
I simply want to join such that the final DF will look like: 我只是想加入,以便最终的DF看起来像:
click | id | location
0 123 321
0 1543 432
1 421 123
1 436 1543
As you can see the column names of both original DF's are the same, but not in the same order. 正如您所看到的,两个原始DF的列名相同,但顺序不同。 Also there is no join in a column.
列中也没有连接。
You could also use pd.concat : 你也可以使用pd.concat :
In [36]: pd.concat([noclickDF, clickDF], ignore_index=True)
Out[36]:
click id location
0 0 123 321
1 0 1543 432
2 1 421 123
3 1 436 1543
Under the hood, DataFrame.append
calls pd.concat
. 在引擎盖下,
DataFrame.append
调用pd.concat
。 DataFrame.append
has code for handling various types of input, such as Series, tuples, lists and dicts. DataFrame.append
具有用于处理各种类型输入的代码,例如Series,元组,列表和dicts。 If you pass it a DataFrame, it passes straight through to pd.concat
, so using pd.concat
is a bit more direct. 如果你传递一个DataFrame,它会直接传递给
pd.concat
,所以使用pd.concat
会更直接。
For future users (sometime >pandas 0.23.0 ): 对于未来的用户(有时> pandas 0.23.0 ):
You may also need to add sort=True to sort the non-concatenation axis when it is not already aligned (ie to retain the OP's desired concatenation behavior). 您可能还需要添加sort = True以在非连接轴尚未对齐时对其进行排序(即保留OP所需的连接行为)。 I used the code contributed above and got a warning, see Python Pandas User Warning .
我使用上面提供的代码并收到警告,请参阅Python Pandas用户警告 。 The code below works and does not throw a warning.
下面的代码有效并且不会发出警告。
In [36]: pd.concat([noclickDF, clickDF], ignore_index=True, sort=True)
Out[36]:
click id location
0 0 123 321
1 0 1543 432
2 1 421 123
3 1 436 1543
You can use append for that 您可以使用追加
df = noclickDF.append(clickDF)
print df
click id location
0 0 123 321
1 0 1543 432
0 1 421 123
1 1 436 1543
and if you need you can reset the index by 如果需要,可以重置索引
df.reset_index(drop=True)
print df
click id location
0 0 123 321
1 0 1543 432
2 1 421 123
3 1 436 1543
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