Question

我有这段代码：

import numpy as np

headings = np.array(["userID","name","bookingID"])
data = np.array([[1111111,"Joe Bloggs",2222222][1212121,"Jane Doe",3333333]])

如何以这种方式打印此数据：

userID
1111111
name
Joe Bloggs
bookingID
2222222
userID
1212121
name
Jane Doe
bookingID
3333333

这是我最接近的......

keys = headings.values
datas = df.values
for i in datas:
    for j in keys:
        print(j)
        print(i)

结果：

userID
[1111111 'Joe Bloggs' 2222222]
name
[1111111 'Joe Bloggs' 2222222]
bookingID
[1111111 'Joe Bloggs' 2222222]
userID
[1212121 'Jane Doe' 3333333]
name
[1212121 'Jane Doe' 3333333]
bookingID
[1212121 'Jane Doe' 3333333]

但我正在努力将额外的步骤缩小到每个键的具体数据......有人可以帮忙吗？（还有人可以推荐更好的问题标题吗？）

Answer 1

import numpy as np

headings = np.array(["userID","name","bookingID"])
data = np.array([[1111111,"Joe Bloggs",2222222],[1212121,"Jane Doe",3333333]])


for sublist in data: #iterate through data
    for ind, value in enumerate(sublist): #iterate through each sublist  and remember index
        print(headings[ind]) #print the element in headings that corresponds to index
        print(value) #print the element

输出：

>>>userID
>>>1111111
>>>name
>>>Joe Bloggs
>>>bookingID
>>>2222222
>>>userID
>>>1212121
>>>name
>>>Jane Doe
>>>bookingID
>>>3333333

在Python中一起打印多个表

1 个答案: