How to convert a pandas dataframe into one dimensional array?

Here's one approach to have each row as one list to give us a 1D array of lists -

In [231]: df
Out[231]: 
      0     1     2          3            4            5
0  1622    95  1717  85.278544  1138.964373  1053.685830
1    62   328   390  75.613900   722.588235   646.974336
2   102   708   810  75.613900   800.916667   725.302767
3   102   862   964  75.613900   725.870370   650.256471
4   129  1380  1509  75.613900   783.711111   708.097211

In [232]: out = np.empty(df.shape[0], dtype=object)

In [233]: out[:] = df.values.tolist()

In [234]: out
Out[234]: 
array([list([1622.0, 95.0, 1717.0, 85.278544, 1138.964373, 1053.6858300000001]),
       list([62.0, 328.0, 390.0, 75.6139, 722.5882349999999, 646.974336]),
       list([102.0, 708.0, 810.0, 75.6139, 800.916667, 725.302767]),
       list([102.0, 862.0, 964.0, 75.6139, 725.87037, 650.256471]),
       list([129.0, 1380.0, 1509.0, 75.6139, 783.7111110000001, 708.097211])], dtype=object)

In [235]: out.shape
Out[235]: (5,)

In [236]: out.ndim
Out[236]: 1