array([[67, 19],
       [62, 83],
       [94, 14],
       [25, 47],
       [96, 69],
       [12, 61]], dtype=int64)

​
array2([[38, 18, 40, 56],
       [40, 47, 47, 45],
       [26, 50, 20, 33]])

np.concatenate((arr,arr2),axis=1)

array([[67, 19, 62, 83, 38, 18, 40, 56],
       [94, 14, 25, 47, 40, 47, 47, 45],
       [96, 69, 12, 61, 26, 50, 20, 33]], dtype=int64)

首先是在numpy数组拼接时，axis=1是指横向拼接，axis=0是指纵向拼接

而在pandas.DateFrame中，axis=1是指纵向的数据

　　

df.drop(labels='Unnamed: 0',axis=1,inplace=True)