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Numpy の作成方法
numpy の作成方法
import numpy as np
np.random.seed(seed=42)0 埋め np.zeros
a = np.zeros(2)
print(f"a.shape = {a.shape} \na = {a}\n")
b = np.zeros((2, 3))
print(f"b.shape = {b.shape} \nb =\n{b}\n")
c = np.zeros((2, 3, 4))
print(f"c.shape = {c.shape} \nc =\n{c}\n")a.shape = (2,)
a = [0. 0.]
b.shape = (2, 3)
b =
[[0. 0. 0.]
[0. 0. 0.]]
c.shape = (2, 3, 4)
c =
[[[0. 0. 0. 0.]
[0. 0. 0. 0.]
[0. 0. 0. 0.]]
[[0. 0. 0. 0.]
[0. 0. 0. 0.]
[0. 0. 0. 0.]]]
1埋め np.ones
a = np.ones(2)
print(f"a.shape = {a.shape} \na = {a}\n")
b = np.ones((2, 3))
print(f"b.shape = {b.shape} \nb =\n{b}\n")
c = np.ones((2, 3, 4))
print(f"c.shape = {c.shape} \nc =\n{c}\n")a.shape = (2,)
a = [1. 1.]
b.shape = (2, 3)
b =
[[1. 1. 1.]
[1. 1. 1.]]
c.shape = (2, 3, 4)
c =
[[[1. 1. 1. 1.]
[1. 1. 1. 1.]
[1. 1. 1. 1.]]
[[1. 1. 1. 1.]
[1. 1. 1. 1.]
[1. 1. 1. 1.]]]
任意の値のみで埋める np.full
a = np.full(2, 3.14)
print(f"a.shape = {a.shape} \na = {a}\n")
b = np.full((2, 3), 3.14)
print(f"b.shape = {b.shape} \nb =\n{b}\n")
c = np.full((2, 3, 4), 3.14)
print(f"c.shape = {c.shape} \nc =\n{c}\n")a.shape = (2,)
a = [3.14 3.14]
b.shape = (2, 3)
b =
[[3.14 3.14 3.14]
[3.14 3.14 3.14]]
c.shape = (2, 3, 4)
c =
[[[3.14 3.14 3.14 3.14]
[3.14 3.14 3.14 3.14]
[3.14 3.14 3.14 3.14]]
[[3.14 3.14 3.14 3.14]
[3.14 3.14 3.14 3.14]
[3.14 3.14 3.14 3.14]]]
一様分布（0.0以上、1.0未満）の一様乱数で埋める random.rand
a = np.random.rand(2)
print(f"a.shape = {a.shape} \na = {a}\n")
b = np.random.rand(2, 3)
print(f"b.shape = {b.shape} \nb =\n{b}\n")
c = np.random.rand(2, 3, 4)
print(f"c.shape = {c.shape} \nc =\n{c}\n")a.shape = (2,)
a = [0.37454012 0.95071431]
b.shape = (2, 3)
b =
[[0.73199394 0.59865848 0.15601864]
[0.15599452 0.05808361 0.86617615]]
c.shape = (2, 3, 4)
c =
[[[0.60111501 0.70807258 0.02058449 0.96990985]
[0.83244264 0.21233911 0.18182497 0.18340451]
[0.30424224 0.52475643 0.43194502 0.29122914]]
[[0.61185289 0.13949386 0.29214465 0.36636184]
[0.45606998 0.78517596 0.19967378 0.51423444]
[0.59241457 0.04645041 0.60754485 0.17052412]]]
a = np.random.random(2)
print(f"a.shape = {a.shape} \na = {a}\n")
b = np.random.rand(2, 3)
print(f"b.shape = {b.shape} \nb =\n{b}\n")
c = np.random.random([2, 3, 4])
print(f"c.shape = {c.shape} \nc =\n{c}\n")a.shape = (2,)
a = [0.06505159 0.94888554]
b.shape = (2, 3)
b =
[[0.96563203 0.80839735 0.30461377]
[0.09767211 0.68423303 0.44015249]]
c.shape = (2, 3, 4)
c =
[[[0.12203823 0.49517691 0.03438852 0.9093204 ]
[0.25877998 0.66252228 0.31171108 0.52006802]
[0.54671028 0.18485446 0.96958463 0.77513282]]
[[0.93949894 0.89482735 0.59789998 0.92187424]
[0.0884925 0.19598286 0.04522729 0.32533033]
[0.38867729 0.27134903 0.82873751 0.35675333]]]
一様分布（任意の範囲の整数）の乱数で埋める random.randint
# 0 以上 10 未満
a = np.random.randint(0, 10, (2))
print(f"a.shape = {a.shape} \na = {a}\n")
b = np.random.randint(0, 10, (2, 3))
print(f"b.shape = {b.shape} \nb =\n{b}\n")
c = np.random.randint(0, 10, (2, 3, 4))
print(f"c.shape = {c.shape} \nc =\n{c}\n")a.shape = (2,)
a = [8 0]
b.shape = (2, 3)
b =
[[8 6 8]
[7 0 7]]
c.shape = (2, 3, 4)
c =
[[[7 2 0 7]
[2 2 0 4]
[9 6 9 8]]
[[6 8 7 1]
[0 6 6 7]
[4 2 7 5]]]
連番で埋める np.arange
a = np.arange(10)
print(f"a.shape = {a.shape} \na = {a}\n")
b = np.arange(0, 20, 2)
print(f"b.shape = {b.shape} \nb =\n{b}\n")
c = np.arange(1, 10).reshape((3, 3))
print(f"c.shape = {c.shape} \nc =\n{c}\n")a.shape = (10,)
a = [0 1 2 3 4 5 6 7 8 9]
b.shape = (10,)
b =
[ 0 2 4 6 8 10 12 14 16 18]
c.shape = (3, 3)
c =
[[1 2 3]
[4 5 6]
[7 8 9]]