如何基于起始点与间隔生成指定6×5格式的坐标列表？

需要基于起始点(71, 180)生成如下格式的坐标列表：

[[0,0], [0,1], [0,2], [1,0], [1,1], [1,2], [2,0], [2,1], [2,2]]

给定参数：

x_distance = 105   
y_distance = 111  

需生成6列5行的坐标列表，预期输出示例：

[[71,180], [176,180], [281,180], [386,180], [491,180], [596,180],   
 [71,291], [176,291], [281,291], [386,291], [491,291], [596,291],    
 [71,402], [176,402], [281,402], [386,402], [491,402], [596,402],    
 [71,513], [176,513], [281,513], [386,513], [491,513], [596,513],   
 [71,624], [176,624], [281,624], [386,624], [491,624], [596,624]]

第一段代码 #

first_xy_x = 71
first_xy_y = 180

x_distance = 150
y_distance = 111

predict_xy_list = []
tem_predict_xy_list = [ ] 

tem_predict_xy_list.append(first_xy_x)
tem_predict_xy_list.append(first_xy_y)
predict_xy_list.append(tem_predict_xy_list)

last_x = first_xy_x
last_y = first_xy_y

for x in range(5):
    tem_predict_xy_list = [ ] 
    last_x = int(last_x) + int(x_distance)
    for y in range(5):
        tem_predict_xy_list = [ ] 
        last_y = int(last_y) + int(y_distance)
        tem_predict_xy_list.append(last_x)
        tem_predict_xy_list.append(last_y)
        predict_xy_list.append(tem_predict_xy_list)

输出结果：

[[71, 180], [176, 291], [176, 402], [176, 513], [176, 624], [176, 735], [281, 846], [281, 957], [281, 1068], [281, 1179], [281, 1290], [386, 1401], [386, 1512], [386, 1623], [386, 1734], [386, 1845], [491, 1956], [491, 2067], [491, 2178], [491, 2289], [491, 2400], [596, 2511], [596, 2622], [596, 2733], [596, 2844], [596, 2955], [701, 3066], [701, 3177], [701, 3288], [701, 3399], [701, 3510]]

问题：坐标的y值持续累加，不符合每行y值固定的要求，且x_distance误用为150。

第二段代码 #

first_xy_x = 71
first_xy_y = 180

x_distance = 150
y_distance = 111

predict_xy_list = []
tem_predict_xy_list = [ ] 

tem_predict_xy_list.append(first_xy_x)
tem_predict_xy_list.append(first_xy_y)
predict_xy_list.append(tem_predict_xy_list)

last_x = first_xy_x
last_y = first_xy_y

tem_predict_xy_list = [ ] 
for y in range(4):
    tem_predict_xy_list = [ ] 
    last_y = int(last_y) + int(y_distance)
    tem_predict_xy_list.append(first_xy_x)
    tem_predict_xy_list.append(last_y)
    predict_xy_list.append(tem_predict_xy_list)

print(predict_xy_list)
print(len(predict_xy_list))
print("= = = = = ")

for x in range(5):
    tem_predict_xy_list = [ ] 
    last_x = int(last_x) + int(x_distance)
    last_y = first_xy_y
    for y in range(5):
        tem_predict_xy_list = [ ] 
        last_y = int(last_y) + int(y_distance)
        tem_predict_xy_list.append(last_x)
        tem_predict_xy_list.append(last_y)
        predict_xy_list.append(tem_predict_xy_list)

print(predict_xy_list)
print(len(predict_xy_list))

输出结果：

[[71, 180], [71, 291], [71, 402], [71, 513], [71, 624], [221, 291], [221, 402], [221, 513], [221, 624], [221, 735], [371, 291], [371, 402], [371, 513], [371, 624], [371, 735], [521, 291], [521, 402], [521, 513], [521, 624], [521, 735], [671, 291], [671, 402], [671, 513], [671, 624], [671, 735], [821, 291], [821, 402], [821, 513], [821, 624], [821, 735]]

问题：输出接近预期，但首列y最大值仅为624，且x_distance误用为150，整体行列顺序不符合要求。

请修正代码，生成符合预期的6×5格式坐标列表。

内容的提问来源于stack exchange，提问作者user20384021