[SOLVED] Split Numpy array (800 * x) where each row is a string of space separeted feature values

Issue

I have a NumPy array of the form (3*1):

['1 2 3', '4 5 6 7 8 9', '10 11 12 13']. 

Each row is a collection of feature values and each row has a different number of features. How can I split this array into multiple columns with each column representing a feature for all rows?

Update:
I am now using on DataFrames. So, I have a data frame with one column. Want to expand it and also convert it to integers. How can I do that?

Expectation: I want to split data in each row into multiple columns (features). Then, each column to numerics.

Solution

You can use expand=True in str.split like below:

df = pd.DataFrame({'features':['191 367 614 634 711',
                               '1202 1220 131 1730 2281 2572 2602 2611 2824', 
                               '2855 2940 3149 3313 3560 3568 3824 4185 4266']})

df.features.str.split(expand=True).astype(float).add_prefix('feature_')

Output:

   feature_0  feature_1  feature_2  ...  feature_6  feature_7  feature_8
0      191.0      367.0      614.0  ...        NaN        NaN        NaN
1     1202.0     1220.0      131.0  ...     2602.0     2611.0     2824.0
2     2855.0     2940.0     3149.0  ...     3824.0     4185.0     4266.0

Answered By – I'mahdi

Answer Checked By – Senaida (BugsFixing Volunteer)