我需要將此串列串列轉換為以下格式。我通過創建一個函式并創建 4 個額外的串列來將資料拆分為所需的格式來實作這一點。我想知道這是否可以以更簡單的方式解決。
我寫的代碼在最后。
謝謝。
vals = [ [1, 2, 3, 4],
[5, 6, 7, 8],
[9 , 10, 11, 12],
[13, 14, 15, 16],
[17, 18, 19, 20],
[21, 22, 23, 24],
[25, 26, 27, 28],
[29, 30, 31, 32],
[33, 34, 35, 36]]
這需要轉換為列格式,如下所示:
out = [[ 1, 5, 9, 13, 17, 21, 25, 29, 33],
[ 2, 6, 10, 14, 18, 22, 26, 30, 34],
[ 3, 7, 11, 15, 19, 23, 27, 31, 35],
[ 4, 8, 12, 16, 20, 24, 28, 32, 36]]
def all_list(value):
result = {}
amount = []
duration = []
rate = []
down_payment = []
headers = parse_headers(file1[0])
total = [amount, duration, rate, down_payment]
for v in range(0,len(value)):
amount.append(value[v][0])
duration.append(value[v][1])
rate.append(value[v][2])
down_payment.append(value[v][3])
for k,v in zip(total, headers):
result[v] = k
return result
uj5u.com熱心網友回復:
您基本上是在嘗試轉置二維串列。這是一個實作。
def transpose(l1):
l2 = []
for i in range(len(l1[0])):
row =[]
for item in l1:
row.append(item[i])
l2.append(row)
return l2
uj5u.com熱心網友回復:
使用推導有一種更簡潔的方法:
amount = [item[0] for item in value]
duration = [item[1] for item in value]
rate = [item[2] for item in value]
down_payment = [item[3] for item in value]
uj5u.com熱心網友回復:
這是一個矩陣轉置。Numpy 像這樣內置了這個
import numpy as np
ans = np.transpose(values)
uj5u.com熱心網友回復:
zip與運算子一起使用*:
>>> values = [[100000.0, 36.0, 0.08, 20000.0],
... [200000.0, 12.0, 0.1, 0.0],
... [628400.0, 120.0, 0.12, 100000.0],
... [4637400.0, 240.0, 0.06, 0.0],
... [42900.0, 90.0, 0.07, 8900.0],
... [916000.0, 16.0, 0.13, 0.0],
... [45230.0, 48.0, 0.08, 4300.0],
... [991360.0, 99.0, 0.08, 0.0],
... [423000.0, 27.0, 0.09, 47200.0]]
>>> list(zip(*values))
[(100000.0, 200000.0, 628400.0, 4637400.0, 42900.0, 916000.0, 45230.0, 991360.0, 423000.0), (36.0, 12.0, 120.0, 240.0, 90.0, 16.0, 48.0, 99.0, 27.0), (0.08, 0.1, 0.12, 0.06, 0.07, 0.13, 0.08, 0.08, 0.09), (20000.0, 0.0, 100000.0, 0.0, 8900.0, 0.0, 4300.0, 0.0, 47200.0)]
如果讓新串列是串列而不是元組很重要,請映射list它:
>>> list(map(list, zip(*values)))
[[100000.0, 200000.0, 628400.0, 4637400.0, 42900.0, 916000.0, 45230.0, 991360.0, 423000.0], [36.0, 12.0, 120.0, 240.0, 90.0, 16.0, 48.0, 99.0, 27.0], [0.08, 0.1, 0.12, 0.06, 0.07, 0.13, 0.08, 0.08, 0.09], [20000.0, 0.0, 100000.0, 0.0, 8900.0, 0.0, 4300.0, 0.0, 47200.0]]
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