arrays - Python inserting a row in a 2Darray -


i have 5x17511 2d array (name = 'da') made pandas.read_csv(...)

i added 1 column indexing this: da.index = pd.date_range(...)

so 2d array has 6x17511 size now.

i'd insert/append 1 more row 2d array, how this?

i tried with: np.insert(da,1,np.array((1,2,3,4,5,6)), 0) says:

valueerror: shape of passed values (6, 17512), indices imply (6, 17511)

thanks in advance!

i have assumed numpy question rather pandas question ...

you try vstack ...

import numpy np da = np.random.rand(17511, 6) newrow = np.array((1,2,3,4,5,6)) da = np.vstack([da, newrow])

which yields ...

in [5]: da out[5]:  array([[ 0.50203777,  0.55102172,  0.74798053,  0.57291239,  0.38977322,          0.40878739],        [ 0.9960413 ,  0.22293403,  0.34136638,  0.12845067,  0.20262593,          0.50798698],        [ 0.05298782,  0.09129754,  0.40833606,  0.67150583,  0.19569471,          0.75176924],        ...,         [ 0.97927055,  0.44649323,  0.84851791,  0.05370892,  0.94375771,          0.24508979],        [ 0.85952039,  0.2852414 ,  0.85662827,  0.97665465,  0.65528357,          0.71483845],        [ 1.        ,  2.        ,  3.        ,  4.        ,  5.        ,          6.        ]])  in [6]: len(da) out[6]: 17512

and (albeit different random numbers), can access top , bottom of numpy array follows ...

in [9]: da[:5] out[9]:  array([[ 0.76697236,  0.96475768,  0.09145486,  0.27159858,  0.05160006,          0.66495098],        [ 0.62635043,  0.1316334 ,  0.66257157,  0.99141318,  0.77212699,          0.17016979],        [ 0.86705298,  0.11120927,  0.29585339,  0.44128326,  0.32290492,          0.99298705],        [ 0.74053894,  0.90743885,  0.99838398,  0.40713677,  0.17337202,          0.56982539],        [ 0.99136919,  0.13045787,  0.67881652,  0.03814385,  0.98036307,          0.53594215]])  in [10]: da[-5:] out[10]:  array([[ 0.8793664 ,  0.0392912 ,  0.8106504 ,  0.17920025,  0.26767578,          0.98386519],        [ 0.41231276,  0.02633723,  0.7872108 ,  0.60894162,  0.5358851 ,          0.65758067],        [ 0.10341791,  0.48079533,  0.1638601 ,  0.5470736 ,  0.7339205 ,          0.60609949],        [ 0.55320512,  0.12962241,  0.84443947,  0.81012583,  0.22057856,          0.33495709],        [ 1.        ,  2.        ,  3.        ,  4.        ,  5.        ,          6.        ]])

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