合并多个数据框pandas

我尝试将多个新数据帧合并到一个主数据帧中。 假设主数据框：

      key1           key2
0   0.365803    0.259112
1   0.086869    0.589834
2   0.269619    0.183644
3   0.755826    0.045187
4   0.204009    0.669371

我尝试将以下 2 个数据集合并到主数据集中，
新数据1：

        key1    key2    new feature
0   0.365803    0.259112    info1

新数据2：

        key1    key2    new feature
0   0.204009    0.669371    info2

预期结果：

       key1       key2  new feature
0   0.365803    0.259112    info1
1   0.776945    0.780978    NaN
2   0.275891    0.114998    NaN
3   0.667057    0.373029    NaN
4   0.204009    0.669371    info2

我尝试过的：

test = test.merge(data1, left_on=['key1', 'key2'], right_on=['key1', 'key2'], how='left')
test = test.merge(data2, left_on=['key1', 'key2'], right_on=['key1', 'key2'], how='left')

对于第一个效果很好，但对于第二个效果不佳，我得到的结果：

        key1    key2    new feature_x   new feature_y
0   0.365803    0.259112    info1      NaN
1   0.776945    0.780978    NaN        NaN
2   0.275891    0.114998    NaN        NaN
3   0.667057    0.373029    NaN        NaN
4   0.204009    0.669371    NaN       info2

感谢您的帮助！

First append http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.append.html or concat http://pands.pydata.org/pandas-docs/stable/generated/pandas.concat.html both DataFrame在一起然后merge:

dat = pd.concat([data1, data2], ignore_index=True)

Or:

dat = data1.append(data2, ignore_index=True)

print (dat)
       key1      key2 new feature
0  0.365803  0.259112       info1
1  0.204009  0.669371       info2

#if same joined columns names better is only on parameter
df = test.merge(dat, on=['key1', 'key2'], how='left')

print (df)
       key1      key2 new feature
0  0.365803  0.259112       info1
1  0.086869  0.589834         NaN
2  0.269619  0.183644         NaN
3  0.755826  0.045187         NaN
4  0.204009  0.669371       info2