Converts a list of numpy arrays to a ndarray

$ pip install listarray2ndarray

from listarray2ndarray import print_alldtypes, convert_to_all_possible_dtypes, la_to_ndarray



# All dtypes

print_alldtypes() 



b  -  numpy.byte signed integer type, compatible with C char.

h  -  numpy.short Signed integer type, compatible with C short.

i  -  numpy.intc Signed integer type, compatible with C int.

l  -  numpy.int_ Signed integer type, compatible with Python int and C long.

q  -  class numpy.longlong Signed integer type, compatible with C long long.

B  -  numpy.ubyte Unsigned integer type, compatible with C unsigned char.

H  -  numpy.ushort Unsigned integer type, compatible with C unsigned short.

I  -  Unsigned integer type, compatible with C unsigned int.

L  -  Unsigned integer large enough to fit pointer, compatible with C uintptr_t.

Q  -  Signed integer type, compatible with C unsigned long long.

e  -  16-bit-precision floating-point number type: sign bit, 5 bits exponent, 10 bits mantissa.

f  -  32-bit-precision floating-point number type: sign bit, 8 bits exponent, 23 bits mantissa.

d  -  64-bit precision floating-point number type: sign bit, 11 bits exponent, 52 bits mantissa.

g  -  128-bit extended-precision floating-point number type.

F  -  Complex number type composed of 2 32-bit-precision floating-point numbers.

D  -  Complex number type composed of two double-precision floating-point numbers, compatible with Python complex.

G  -  Complex number type composed of 2 128-bit extended-precision floating-point numbers.

?  -  The bool_ type is not a subclass of the int_ type (the bool_ is not even a number type). This is different than Python’s default implementation of bool as a sub-class of int.

M  -  numpy.datetime64

m  -  A timedelta stored as a 64-bit integer.

O  -  Any Python object

S  -  When used in arrays, this type strips trailing null bytes.

U  -  Unlike the builtin str, this supports the Buffer Protocol, exposing its contents as UCS4:

V  -  Create a new structured or unstructured void scalar.





import numpy as np

with np.printoptions(threshold=10,linewidth=100,edgeitems=2):

    np.linspace(0, 10, 10)

    c = np.array(list(range(10000)))

    b = np.array(list(range(9800, 20000)))

    a = np.concatenate([c, b])

    print(a)

    bz = la_to_ndarray(a, continous_array=True, dtype=None)

    print(bz)

    print(bz.shape)

    cax = [cc.reshape((10, -1)) for cc in np.split(c, 10)]

    print(cax)

    bz = la_to_ndarray(cax, continous_array=True, dtype="e")

    print(bz)

    print(bz.shape)

    cax = [np.split(cc.reshape((10, -1)), 10) for cc in np.split(c, 10)]

    print(cax)

    bz = la_to_ndarray(cax, continous_array=True, dtype="i")

    print(bz)

    print(bz.shape)



    ax = np.array(list(range(1000)))

    adt = convert_to_all_possible_dtypes(

        ax,

        with_bit_variations=False,

        continous_array=True,

        ignore_dtypes=("M", "m", "O"),

        ignore_bit=(), # ignored because with_bit_variations is False

    )

    print(adt)

    adt2 = convert_to_all_possible_dtypes(

        ax,

        with_bit_variations=True,

        continous_array=True,

        ignore_dtypes=("M", "m", "O"),

        ignore_bit=(64, 128, 256),

    )

    print(adt2)

    cax = np.linspace(0, 100, 10000)

    print(cax)

    ra = la_to_ndarray(cax, continous_array=True, dtype="i4")

    print(ra)





[    0     1 ... 19998 19999]

[    0     1 ... 19998 19999]

(20200,)

[array([[  0,   1, ...,  98,  99],

       [100, 101, ..., 198, 199],

       ...,

       [800, 801, ..., 898, 899],

       [900, 901, ..., 998, 999]]), array([[1000, 1001, ..., 1098, 1099],

       [1100, 1101, ..., 1198, 1199],

       ...,

       [1800, 1801, ..., 1898, 1899],

       [1900, 1901, ..., 1998, 1999]]), array([[2000, 2001, ..., 2098, 2099],

       [2100, 2101, ..., 2198, 2199],

       ...,

       [2800, 2801, ..., 2898, 2899],

       [2900, 2901, ..., 2998, 2999]]), array([[3000, 3001, ..., 3098, 3099],

       [3100, 3101, ..., 3198, 3199],

       ...,

       [3800, 3801, ..., 3898, 3899],

       [3900, 3901, ..., 3998, 3999]]), array([[4000, 4001, ..., 4098, 4099],

       [4100, 4101, ..., 4198, 4199],

       ...,

       [4800, 4801, ..., 4898, 4899],

       [4900, 4901, ..., 4998, 4999]]), array([[5000, 5001, ..., 5098, 5099],

       [5100, 5101, ..., 5198, 5199],

       ...,

       [5800, 5801, ..., 5898, 5899],

       [5900, 5901, ..., 5998, 5999]]), array([[6000, 6001, ..., 6098, 6099],

       [6100, 6101, ..., 6198, 6199],

       ...,

       [6800, 6801, ..., 6898, 6899],

       [6900, 6901, ..., 6998, 6999]]), array([[7000, 7001, ..., 7098, 7099],

       [7100, 7101, ..., 7198, 7199],

       ...,

       [7800, 7801, ..., 7898, 7899],

       [7900, 7901, ..., 7998, 7999]]), array([[8000, 8001, ..., 8098, 8099],

       [8100, 8101, ..., 8198, 8199],

       ...,

       [8800, 8801, ..., 8898, 8899],

       [8900, 8901, ..., 8998, 8999]]), array([[9000, 9001, ..., 9098, 9099],

       [9100, 9101, ..., 9198, 9199],

       ...,

       [9800, 9801, ..., 9898, 9899],

       [9900, 9901, ..., 9998, 9999]])]

[[[0.000e+00 1.000e+03 ... 8.000e+03 9.000e+03]

  [1.000e+00 1.001e+03 ... 8.000e+03 9.000e+03]

  ...

  [9.800e+01 1.098e+03 ... 8.096e+03 9.096e+03]

  [9.900e+01 1.099e+03 ... 8.100e+03 9.096e+03]]

 [[1.000e+02 1.100e+03 ... 8.100e+03 9.104e+03]

  [1.010e+02 1.101e+03 ... 8.100e+03 9.104e+03]

  ...

  [1.980e+02 1.198e+03 ... 8.200e+03 9.200e+03]

  [1.990e+02 1.199e+03 ... 8.200e+03 9.200e+03]]

 ...

 [[8.000e+02 1.800e+03 ... 8.800e+03 9.800e+03]

  [8.010e+02 1.801e+03 ... 8.800e+03 9.800e+03]

  ...

  [8.980e+02 1.898e+03 ... 8.896e+03 9.896e+03]

  [8.990e+02 1.899e+03 ... 8.896e+03 9.896e+03]]

 [[9.000e+02 1.900e+03 ... 8.896e+03 9.904e+03]

  [9.010e+02 1.901e+03 ... 8.904e+03 9.904e+03]

  ...

  [9.980e+02 1.998e+03 ... 9.000e+03 1.000e+04]

  [9.990e+02 1.999e+03 ... 9.000e+03 1.000e+04]]]

(10, 100, 10)

[[array([[ 0,  1, ..., 98, 99]]), array([[100, 101, ..., 198, 199]]), array([[200, 201, ..., 298, 299]]), array([[300, 301, ..., 398, 399]]), array([[400, 401, ..., 498, 499]]), array([[500, 501, ..., 598, 599]]), array([[600, 601, ..., 698, 699]]), array([[700, 701, ..., 798, 799]]), array([[800, 801, ..., 898, 899]]), array([[900, 901, ..., 998, 999]])], [array([[1000, 1001, ..., 1098, 1099]]), array([[1100, 1101, ..., 1198, 1199]]), array([[1200, 1201, ..., 1298, 1299]]), array([[1300, 1301, ..., 1398, 1399]]), array([[1400, 1401, ..., 1498, 1499]]), array([[1500, 1501, ..., 1598, 1599]]), array([[1600, 1601, ..., 1698, 1699]]), array([[1700, 1701, ..., 1798, 1799]]), array([[1800, 1801, ..., 1898, 1899]]), array([[1900, 1901, ..., 1998, 1999]])], [array([[2000, 2001, ..., 2098, 2099]]), array([[2100, 2101, ..., 2198, 2199]]), array([[2200, 2201, ..., 2298, 2299]]), array([[2300, 2301, ..., 2398, 2399]]), array([[2400, 2401, ..., 2498, 2499]]), array([[2500, 2501, ..., 2598, 2599]]), array([[2600, 2601, ..., 2698, 2699]]), array([[2700, 2701, ..., 2798, 2799]]), array([[2800, 2801, ..., 2898, 2899]]), array([[2900, 2901, ..., 2998, 2999]])], [array([[3000, 3001, ..., 3098, 3099]]), array([[3100, 3101, ..., 3198, 3199]]), array([[3200, 3201, ..., 3298, 3299]]), array([[3300, 3301, ..., 3398, 3399]]), array([[3400, 3401, ..., 3498, 3499]]), array([[3500, 3501, ..., 3598, 3599]]), array([[3600, 3601, ..., 3698, 3699]]), array([[3700, 3701, ..., 3798, 3799]]), array([[3800, 3801, ..., 3898, 3899]]), array([[3900, 3901, ..., 3998, 3999]])], [array([[4000, 4001, ..., 4098, 4099]]), array([[4100, 4101, ..., 4198, 4199]]), array([[4200, 4201, ..., 4298, 4299]]), array([[4300, 4301, ..., 4398, 4399]]), array([[4400, 4401, ..., 4498, 4499]]), array([[4500, 4501, ..., 4598, 4599]]), array([[4600, 4601, ..., 4698, 4699]]), array([[4700, 4701, ..., 4798, 4799]]), array([[4800, 4801, ..., 4898, 4899]]), array([[4900, 4901, ..., 4998, 4999]])], [array([[5000, 5001, ..., 5098, 5099]]), array([[5100, 5101, ..., 5198, 5199]]), array([[5200, 5201, ..., 5298, 5299]]), array([[5300, 5301, ..., 5398, 5399]]), array([[5400, 5401, ..., 5498, 5499]]), array([[5500, 5501, ..., 5598, 5599]]), array([[5600, 5601, ..., 5698, 5699]]), array([[5700, 5701, ..., 5798, 5799]]), array([[5800, 5801, ..., 5898, 5899]]), array([[5900, 5901, ..., 5998, 5999]])], [array([[6000, 6001, ..., 6098, 6099]]), array([[6100, 6101, ..., 6198, 6199]]), array([[6200, 6201, ..., 6298, 6299]]), array([[6300, 6301, ..., 6398, 6399]]), array([[6400, 6401, ..., 6498, 6499]]), array([[6500, 6501, ..., 6598, 6599]]), array([[6600, 6601, ..., 6698, 6699]]), array([[6700, 6701, ..., 6798, 6799]]), array([[6800, 6801, ..., 6898, 6899]]), array([[6900, 6901, ..., 6998, 6999]])], [array([[7000, 7001, ..., 7098, 7099]]), array([[7100, 7101, ..., 7198, 7199]]), array([[7200, 7201, ..., 7298, 7299]]), array([[7300, 7301, ..., 7398, 7399]]), array([[7400, 7401, ..., 7498, 7499]]), array([[7500, 7501, ..., 7598, 7599]]), array([[7600, 7601, ..., 7698, 7699]]), array([[7700, 7701, ..., 7798, 7799]]), array([[7800, 7801, ..., 7898, 7899]]), array([[7900, 7901, ..., 7998, 7999]])], [array([[8000, 8001, ..., 8098, 8099]]), array([[8100, 8101, ..., 8198, 8199]]), array([[8200, 8201, ..., 8298, 8299]]), array([[8300, 8301, ..., 8398, 8399]]), array([[8400, 8401, ..., 8498, 8499]]), array([[8500, 8501, ..., 8598, 8599]]), array([[8600, 8601, ..., 8698, 8699]]), array([[8700, 8701, ..., 8798, 8799]]), array([[8800, 8801, ..., 8898, 8899]]), array([[8900, 8901, ..., 8998, 8999]])], [array([[9000, 9001, ..., 9098, 9099]]), array([[9100, 9101, ..., 9198, 9199]]), array([[9200, 9201, ..., 9298, 9299]]), array([[9300, 9301, ..., 9398, 9399]]), array([[9400, 9401, ..., 9498, 9499]]), array([[9500, 9501, ..., 9598, 9599]]), array([[9600, 9601, ..., 9698, 9699]]), array([[9700, 9701, ..., 9798, 9799]]), array([[9800, 9801, ..., 9898, 9899]]), array([[9900, 9901, ..., 9998, 9999]])]]

[[[[   0 1000 ... 8000 9000]

   [   1 1001 ... 8001 9001]

   ...

   [  98 1098 ... 8098 9098]

   [  99 1099 ... 8099 9099]]]

 [[[ 100 1100 ... 8100 9100]

   [ 101 1101 ... 8101 9101]

   ...

   [ 198 1198 ... 8198 9198]

   [ 199 1199 ... 8199 9199]]]

 ...

 [[[ 800 1800 ... 8800 9800]

   [ 801 1801 ... 8801 9801]

   ...

   [ 898 1898 ... 8898 9898]

   [ 899 1899 ... 8899 9899]]]

 [[[ 900 1900 ... 8900 9900]

   [ 901 1901 ... 8901 9901]

   ...

   [ 998 1998 ... 8998 9998]

   [ 999 1999 ... 8999 9999]]]]

(10, 1, 100, 10)

{'b': array([[[  0,   1, ..., -26, -25]]], dtype=int8), 'h': array([[[  0,   1, ..., 998, 999]]], dtype=int16), 'i': array([  0,   1, ..., 998, 999], dtype=int32), 'l': array([  0,   1, ..., 998, 999]), 'q': array([[[  0,   1, ..., 998, 999]]], dtype=int64), 'B': array([[[  0,   1, ..., 230, 231]]], dtype=uint8), 'H': array([[[  0,   1, ..., 998, 999]]], dtype=uint16), 'I': array([  0,   1, ..., 998, 999], dtype=uint32), 'L': array([  0,   1, ..., 998, 999], dtype=uint32), 'Q': array([[[  0,   1, ..., 998, 999]]], dtype=uint64), 'e': array([[[  0.,   1., ..., 998., 999.]]], dtype=float16), 'f': array([0.000e+00, 1.401e-45, ..., 1.398e-42, 1.400e-42], dtype=float32), 'd': array([[[  0.,   1., ..., 998., 999.]]]), 'g': array([[[  0.,   1., ..., 998., 999.]]], dtype=float64), 'F': array([[[  0.+0.j,   1.+0.j, ..., 998.+0.j, 999.+0.j]]], dtype=complex64), 'D': array([[[  0.+0.j,   1.+0.j, ..., 998.+0.j, 999.+0.j]]]), 'G': array([[[  0.+0.j,   1.+0.j, ..., 998.+0.j, 999.+0.j]]], dtype=complex128), '?': array([[[False,  True, ...,  True,  True]]]), 'S': array([[[b'0', b'1', ..., b'998', b'999']]], dtype='|S11'), 'U': array(['\x00\x01\x02\x03\x04\x05\x06\x07\x08\t\n\x0b\x0c\r\x0e\x0f\x10\x11\x12\x13\x14\x15\x16\x17\x18\x19\x1a\x1b\x1c\x1d\x1e\x1f !"#$%&\'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\x7f\x80\x81\x82\x83\x84\x85\x86\x87\x88\x89\x8a\x8b\x8c\x8d\x8e\x8f\x90\x91\x92\x93\x94\x95\x96\x97\x98\x99\x9a\x9b\x9c\x9d\x9e\x9f\xa0¡¢£¤¥¦§¨©ª«¬\xad®¯°±²³´µ¶·¸¹º»¼½¾¿ÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖ×ØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùúûüýþÿĀāĂăĄąĆćĈĉĊċČčĎďĐđĒēĔĕĖėĘęĚěĜĝĞğĠġĢģĤĥĦħĨĩĪīĬĭĮįİıĲĳĴĵĶķĸĹĺĻļĽľĿŀŁłŃńŅņŇňŉŊŋŌōŎŏŐőŒœŔŕŖŗŘřŚśŜŝŞşŠšŢţŤťŦŧŨũŪūŬŭŮůŰűŲųŴŵŶŷŸŹźŻżŽžſƀƁƂƃƄƅƆƇƈƉƊƋƌƍƎƏƐƑƒƓƔƕƖƗƘƙƚƛƜƝƞƟƠơƢƣƤƥƦƧƨƩƪƫƬƭƮƯưƱƲƳƴƵƶƷƸƹƺƻƼƽƾƿǀǁǂǃǄǅǆǇǈǉǊǋǌǍǎǏǐǑǒǓǔǕǖǗǘǙǚǛǜǝǞǟǠǡǢǣǤǥǦǧǨǩǪǫǬǭǮǯǰǱǲǳǴǵǶǷǸǹǺǻǼǽǾǿȀȁȂȃȄȅȆȇȈȉȊȋȌȍȎȏȐȑȒȓȔȕȖȗȘșȚțȜȝȞȟȠȡȢȣȤȥȦȧȨȩȪȫȬȭȮȯȰȱȲȳȴȵȶȷȸȹȺȻȼȽȾȿɀɁɂɃɄɅɆɇɈɉɊɋɌɍɎɏɐɑɒɓɔɕɖɗɘəɚɛɜɝɞɟɠɡɢɣɤɥɦɧɨɩɪɫɬɭɮɯɰɱɲɳɴɵɶɷɸɹɺɻɼɽɾɿʀʁʂʃʄʅʆʇʈʉʊʋʌʍʎʏʐʑʒʓʔʕʖʗʘʙʚʛʜʝʞʟʠʡʢʣʤʥʦʧʨʩʪʫʬʭʮʯʰʱʲʳʴʵʶʷʸʹʺʻʼʽʾʿˀˁ˂˃˄˅ˆˇˈˉˊˋˌˍˎˏːˑ˒˓˔˕˖˗˘˙˚˛˜˝˞˟ˠˡˢˣˤ˥˦˧˨˩˪˫ˬ˭ˮ˯˰˱˲˳˴˵˶˷˸˹˺˻˼˽˾˿̴̵̶̷̸̡̢̧̨̛̖̗̘̙̜̝̞̟̠̣̤̥̦̩̪̫̬̭̮̯̰̱̲̳̹̺̻̼͇͈͉͍͎̀́̂̃̄̅̆̇̈̉̊̋̌̍̎̏̐̑̒̓̔̽̾̿̀́͂̓̈́͆͊͋͌̕̚ͅ͏͓͔͕͖͙͚͐͑͒͗͛ͣͤͥͦͧͨͩͪͫͬͭͮͯ͘͜͟͢͝͞͠͡ͰͱͲͳʹ͵Ͷͷ\u0378\u0379ͺͻͼͽ;Ϳ\u0380\u0381\u0382\u0383΄΅Ά·ΈΉΊ\u038bΌ\u038dΎΏΐΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡ\u03a2ΣΤΥΦΧΨΩΪΫάέήίΰαβγδεζηθικλμνξοπρςστυφχψωϊϋόύώϏϐϑϒϓϔϕϖϗϘϙϚϛϜϝϞϟϠϡϢϣϤϥϦϧ'],

      dtype='<U1000'), 'V': array([[[b'\x00\x00\x00\x00', b'\x01\x00\x00\x00', ..., b'\xE6\x03\x00\x00', b'\xE7\x03\x00\x00']]],

      dtype='|V4')}

{'b': array([[[  0,   1, ..., -26, -25]]], dtype=int8), 'h': array([[[  0,   1, ..., 998, 999]]], dtype=int16), 'i': array([  0,   1, ..., 998, 999], dtype=int32), 'i8': array([[[  0,   1, ..., 998, 999]]], dtype=int64), 'l': array([  0,   1, ..., 998, 999]), 'q': array([[[  0,   1, ..., 998, 999]]], dtype=int64), 'B': array([[[  0,   1, ..., 230, 231]]], dtype=uint8), 'H': array([[[  0,   1, ..., 998, 999]]], dtype=uint16), 'I': array([  0,   1, ..., 998, 999], dtype=uint32), 'L': array([  0,   1, ..., 998, 999], dtype=uint32), 'Q': array([[[  0,   1, ..., 998, 999]]], dtype=uint64), 'e': array([[[  0.,   1., ..., 998., 999.]]], dtype=float16), 'f': array([0.000e+00, 1.401e-45, ..., 1.398e-42, 1.400e-42], dtype=float32), 'f8': array([[[  0.,   1., ..., 998., 999.]]]), 'd': array([[[  0.,   1., ..., 998., 999.]]]), 'g': array([[[  0.,   1., ..., 998., 999.]]], dtype=float64), 'F': array([[[  0.+0.j,   1.+0.j, ..., 998.+0.j, 999.+0.j]]], dtype=complex64), 'D': array([[[  0.+0.j,   1.+0.j, ..., 998.+0.j, 999.+0.j]]]), 'G': array([[[  0.+0.j,   1.+0.j, ..., 998.+0.j, 999.+0.j]]], dtype=complex128), '?': array([[[False,  True, ...,  True,  True]]]), 'S': array([[[b'0', b'1', ..., b'998', b'999']]], dtype='|S11'), 'S8': array([[[b'0', b'1', ..., b'998', b'999']]], dtype='|S8'), 'S16': array([[[b'0', b'1', ..., b'998', b'999']]], dtype='|S16'), 'S32': array([[[b'0', b'1', ..., b'998', b'999']]], dtype='|S32'), 'U': array(['\x00\x01\x02\x03\x04\x05\x06\x07\x08\t\n\x0b\x0c\r\x0e\x0f\x10\x11\x12\x13\x14\x15\x16\x17\x18\x19\x1a\x1b\x1c\x1d\x1e\x1f !"#$%&\'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\x7f\x80\x81\x82\x83\x84\x85\x86\x87\x88\x89\x8a\x8b\x8c\x8d\x8e\x8f\x90\x91\x92\x93\x94\x95\x96\x97\x98\x99\x9a\x9b\x9c\x9d\x9e\x9f\xa0¡¢£¤¥¦§¨©ª«¬\xad®¯°±²³´µ¶·¸¹º»¼½¾¿ÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖ×ØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùúûüýþÿĀāĂăĄąĆćĈĉĊċČčĎďĐđĒēĔĕĖėĘęĚěĜĝĞğĠġĢģĤĥĦħĨĩĪīĬĭĮįİıĲĳĴĵĶķĸĹĺĻļĽľĿŀŁłŃńŅņŇňŉŊŋŌōŎŏŐőŒœŔŕŖŗŘřŚśŜŝŞşŠšŢţŤťŦŧŨũŪūŬŭŮůŰűŲųŴŵŶŷŸŹźŻżŽžſƀƁƂƃƄƅƆƇƈƉƊƋƌƍƎƏƐƑƒƓƔƕƖƗƘƙƚƛƜƝƞƟƠơƢƣƤƥƦƧƨƩƪƫƬƭƮƯưƱƲƳƴƵƶƷƸƹƺƻƼƽƾƿǀǁǂǃǄǅǆǇǈǉǊǋǌǍǎǏǐǑǒǓǔǕǖǗǘǙǚǛǜǝǞǟǠǡǢǣǤǥǦǧǨǩǪǫǬǭǮǯǰǱǲǳǴǵǶǷǸǹǺǻǼǽǾǿȀȁȂȃȄȅȆȇȈȉȊȋȌȍȎȏȐȑȒȓȔȕȖȗȘșȚțȜȝȞȟȠȡȢȣȤȥȦȧȨȩȪȫȬȭȮȯȰȱȲȳȴȵȶȷȸȹȺȻȼȽȾȿɀɁɂɃɄɅɆɇɈɉɊɋɌɍɎɏɐɑɒɓɔɕɖɗɘəɚɛɜɝɞɟɠɡɢɣɤɥɦɧɨɩɪɫɬɭɮɯɰɱɲɳɴɵɶɷɸɹɺɻɼɽɾɿʀʁʂʃʄʅʆʇʈʉʊʋʌʍʎʏʐʑʒʓʔʕʖʗʘʙʚʛʜʝʞʟʠʡʢʣʤʥʦʧʨʩʪʫʬʭʮʯʰʱʲʳʴʵʶʷʸʹʺʻʼʽʾʿˀˁ˂˃˄˅ˆˇˈˉˊˋˌˍˎˏːˑ˒˓˔˕˖˗˘˙˚˛˜˝˞˟ˠˡˢˣˤ˥˦˧˨˩˪˫ˬ˭ˮ˯˰˱˲˳˴˵˶˷˸˹˺˻˼˽˾˿̴̵̶̷̸̡̢̧̨̛̖̗̘̙̜̝̞̟̠̣̤̥̦̩̪̫̬̭̮̯̰̱̲̳̹̺̻̼͇͈͉͍͎̀́̂̃̄̅̆̇̈̉̊̋̌̍̎̏̐̑̒̓̔̽̾̿̀́͂̓̈́͆͊͋͌̕̚ͅ͏͓͔͕͖͙͚͐͑͒͗͛ͣͤͥͦͧͨͩͪͫͬͭͮͯ͘͜͟͢͝͞͠͡ͰͱͲͳʹ͵Ͷͷ\u0378\u0379ͺͻͼͽ;Ϳ\u0380\u0381\u0382\u0383΄΅Ά·ΈΉΊ\u038bΌ\u038dΎΏΐΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡ\u03a2ΣΤΥΦΧΨΩΪΫάέήίΰαβγδεζηθικλμνξοπρςστυφχψωϊϋόύώϏϐϑϒϓϔϕϖϗϘϙϚϛϜϝϞϟϠϡϢϣϤϥϦϧ'],

      dtype='<U1000'), 'U8': array([[['0', '1', ..., '998', '999']]], dtype='<U8'), 'U16': array([[['0', '1', ..., '998', '999']]], dtype='<U16'), 'U32': array([[['0', '1', ..., '998', '999']]], dtype='<U32'), 'V': array([[[b'\x00\x00\x00\x00', b'\x01\x00\x00\x00', ..., b'\xE6\x03\x00\x00', b'\xE7\x03\x00\x00']]],

      dtype='|V4'), 'V8': array([[[b'\x00\x00\x00\x00\x00\x00\x00\x00', b'\x01\x00\x00\x00\x00\x00\x00\x00', ...,

         b'\xE6\x03\x00\x00\x00\x00\x00\x00', b'\xE7\x03\x00\x00\x00\x00\x00\x00']]], dtype='|V8'), 'V16': array([[[b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',

         b'\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', ...,

         b'\xE6\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',

         b'\xE7\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00']]], dtype='|V16'), 'V32': array([[[b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',

         b'\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',

         ...,

         b'\xE6\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',

         b'\xE7\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00']]],

      dtype='|V32')}

[0.00000000e+00 1.00010001e-02 ... 9.99899990e+01 1.00000000e+02]

[[[  0   0 ...  99 100]]]

Metadata

Release files for listarray2ndarray 0.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for listarray2ndarray 0.10
File	Size	Uploaded	Provenance	Actions
listarray2ndarray-0.10.tar.gz	16.7 kB	Feb 7, 2023	Without provenance	Details for listarray2ndarray-0.10.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for listarray2ndarray 0.10
File	Interpreter	ABI	Platform	Actions Reset
listarray2ndarray-0.10-py3-none-any.whl 16.5 kB Feb 7, 2023 Without provenance	Python 3	none	any	Details for listarray2ndarray-0.10-py3-none-any.whl

Total release size: 33.1 kB

Release files / listarray2ndarray-0.10.tar.gz

Download URL	listarray2ndarray-0.10.tar.gz
Size	16.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`1a5523152b23433d83f6ad8c15c599f9ca6b8bd2b4318fc176ff81d4d04dc8e8`
BLAKE2b-256 checksum How to use checksums	`b4ffd6a6bfc92b17d19ed9a350b739c9128ffc84ba722b37d7ef16973abdc01e`
Upload date	Feb 7, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.13`

Release files / listarray2ndarray-0.10-py3-none-any.whl

Download URL	listarray2ndarray-0.10-py3-none-any.whl
Size	16.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`735b3b6bd30929c95882b527c5dae521ce165ce637deb8492435cfa14fece991`
BLAKE2b-256 checksum How to use checksums	`72a96e904e96e732db2c503e72343531d221ddddeebd0ed4527594f60cdd012a`
Upload date	Feb 7, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.13`

Security for listarray2ndarray 0.10

Report project as malware

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.10 This release

Feb 7, 2023 2 release files No provenance

listarray2ndarray 0.10