Question

我目前有两个列表：

lat = [34.78, 34.82, 34.86, 34.92]
lon = [-86.02, -86.06, -86.10, -86.14]

我正在尝试编写一个csv文件，将它们输出为lat / lon：

34.78, -86.02
34.82, -86.06
34.86, -86.10
34.92, -86.14

我尝试使用：

with open('lat_lon', 'w') as csvfile:
    writer=csv.writer(csvfile, delimiter=',')
    writer.writerow(lat)
    writer.writerow(lon)

但是这给了我一行中的lat值和一个单独行中的lon值。有关如何纠正此问题的任何想法？谢谢！

Answer 1

您只需要zip并使用 writerows 而不是writerow：

with open('lat_lon', 'w') as csvfile:
    writer=csv.writer(csvfile, delimiter=',')
    writer.writerows(zip(lat, lon))

Answer 2

你几乎就在那里，做到这一点：

with open('lat_lon', 'w') as csvfile:
    writer = csv.writer(csvfile, delimiter=',')
    for la, lo in zip(lat, lon):
        writer.writerow([la, lo])

或者更简洁（如上所述）：

with open('lat_lon', 'w') as csvfile:
    writer = csv.writer(csvfile, delimiter=',')
    writer.writerows(zip(lat, lon))

Answer 3

import pandas as pd
lat = [34.78, 34.82, 34.86, 34.92]
lon = [-86.02, -86.06, -86.10, -86.14]

output = pd.DataFrame(lat, columns=['lat'])
output['lon'] = lon
output.to_csv('lat_lon', index=False)

Answer 4

关键点是zip（lat，lon）。您可以使上述答案更加紧凑。

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用多个变量编写CSV

4 个答案: