Issue
numpy.concatenate((a0,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16,a17,a18,a19,a20,a21,a22,a23,a24,a25,a26,a27,a28,a29,a30,a31,a32,a33,a34,a35,a36,a37,a38,a39,a40,a41,a42,a43,a44,a45,a46,a47,a48,a49,a50,a51,a52,a53,a54,a55,a56,a57,a58,a59,a60,a61,a62,a63,a64,a65,a66,a67,a68,a69,a70,a71,a72,a73,a74,a75,a76,a77,a78,a79,a80,a81,a82,a83,a84,a85,a86,a87,a88,a89,a90,a91,a92,a93,a94,a95,a96,a97,a98,a99,a100,a101,a102,a103,a104,a105,a106,a107,a108,a109,a110,a111,a112,a113,a114,a115,a116,a117,a118,a119,a120,a121,a122,a123,a124,a125,a126,a127,a128,a129,a130,a131,a132,a133,a134,a135,a136,a137,a138,a139,a140,a141,a142,a143,a144,a145,a146,a147,a148,a149,a150,a151,a152,a153,a154,a155,a156,a157,a158,a159,a160,a161,a162,a163,a164,a165,a166,a167,a168,a169,a170,a171,a172,a173,a174,a175,a176,a177,a178,a179,a180,a181,a182,a183,a184,a185,a186,a187,a188,a189,a190,a191,a192,a193,a194,a195,a196,a197,a198,a199,a200,a201,a202,a203,a204,a205,a206,a207,a208,a209,a210,a211,a212,a213,a214,a215,a216,a217,a218,a219,a220,a221,a222,a223,a224,a225,a226,a227,a228,a229,a230,a231,a232,a233))
a0 to a233 are array names which have been defined and assigned values to.
Solution
As i understand you want to create all the array names (a0 to a233) that you needed to concatenate in order to make the code shorten
If that's the case you can use list comprehension and f-strings without manually typing each name:
array_names = [f"a{i}" for i in range(234)] # Create names a0 to a233
now you've a list of arrays:
>>> print(array_names)
['a0', 'a1', 'a2', ..., 'a232', 'a233']
you can use expression:
np.concatenate([globals()[f"a{i}"] for i in range(234)])
you can also use np.vstack
for faster vertical concatenation:
np.vstack([globals()[f"a{i}"] for i in range(234)])
Answered By - Rashid ur Rehman
0 comments:
Post a Comment
Note: Only a member of this blog may post a comment.