meteostat
提供了一个快捷获取历史天气数据的接口
根据坐标获取附近的气象站
代码
from datetime import datetime
import matplotlib.pyplot as plt
from meteostat import Stations, Daily
chongqing = (29.56301, 106.55156)
stations = Stations()
nearby_stations = stations.nearby(*chongqing).fetch(20)
nearby_stations
id |
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
57516 |
Chongqing |
CN |
CQ |
57516 |
ZUCK |
29.5167 |
106.4833 |
351.0 |
Asia/Chongqing |
1944-11-11 |
2024-06-21 |
1944-11-11 |
2024-06-16 |
1944-01-01 |
2022-01-01 |
8373.975722 |
57411 |
Nanchong |
CN |
SC |
57411 |
<NA> |
30.8000 |
106.0833 |
310.0 |
Asia/Chongqing |
NaT |
NaT |
1951-01-09 |
2024-06-16 |
1951-01-01 |
2022-01-01 |
144723.481282 |
56492 |
Yibin |
CN |
SC |
56492 |
<NA> |
28.8000 |
104.6000 |
342.0 |
Asia/Chongqing |
NaT |
NaT |
1944-04-01 |
2024-06-16 |
1944-01-01 |
2022-01-01 |
207586.288529 |
57713 |
Zunyi |
CN |
GZ |
57713 |
<NA> |
27.7000 |
106.8833 |
845.0 |
Asia/Chongqing |
NaT |
NaT |
1951-01-01 |
2012-12-31 |
1951-01-01 |
2012-01-01 |
209671.730894 |
57633 |
Youyang |
CN |
CQ |
57633 |
<NA> |
28.8333 |
108.7667 |
665.0 |
Asia/Chongqing |
NaT |
NaT |
1951-01-01 |
2024-06-16 |
1951-01-01 |
2022-01-01 |
229810.189390 |
56294 |
Chengdu |
CN |
SC |
56294 |
ZUUU |
30.6667 |
104.0167 |
508.0 |
Asia/Chongqing |
1956-08-20 |
2024-06-21 |
1951-01-01 |
2022-04-25 |
1951-01-01 |
2022-01-01 |
272951.363503 |
56196 |
Mianyang |
CN |
SC |
56196 |
<NA> |
31.4667 |
104.6833 |
472.0 |
Asia/Chongqing |
NaT |
NaT |
NaT |
NaT |
NaT |
NaT |
277185.210787 |
57707 |
Bijie |
CN |
GZ |
57707 |
<NA> |
27.3000 |
105.2333 |
1511.0 |
Asia/Chongqing |
NaT |
NaT |
1951-01-01 |
2024-06-16 |
1951-01-01 |
2022-01-01 |
282722.969890 |
56187 |
Liucheng / Wenjiang |
CN |
SC |
56187 |
<NA> |
30.7500 |
103.8667 |
541.0 |
Asia/Chongqing |
NaT |
NaT |
2004-01-01 |
2024-06-16 |
2004-01-01 |
2022-01-01 |
289909.384876 |
57447 |
Enshi |
CN |
HU |
57447 |
<NA> |
30.2833 |
109.4667 |
458.0 |
Asia/Shanghai |
NaT |
NaT |
1945-03-31 |
2024-06-16 |
1945-01-01 |
2022-01-01 |
292121.181393 |
57237 |
Wanyuan |
CN |
SC |
57237 |
<NA> |
32.0667 |
108.0333 |
674.0 |
Asia/Chongqing |
NaT |
NaT |
1952-01-01 |
2024-06-16 |
1952-01-01 |
2022-01-01 |
312283.824717 |
57816 |
Guiyang |
CN |
GZ |
57816 |
ZUGY |
26.5833 |
106.7167 |
1074.0 |
Asia/Chongqing |
1945-02-04 |
2024-06-21 |
1945-02-04 |
2024-06-16 |
1945-01-01 |
2022-01-01 |
331724.387656 |
ZGDY0 |
Sifangyan / Zhangjiajie / Dayong |
CN |
HN |
<NA> |
ZGDY |
29.1028 |
110.4430 |
211.0 |
Asia/Shanghai |
2007-10-10 |
2024-06-16 |
NaT |
NaT |
NaT |
NaT |
380665.912370 |
57745 |
Zhijiang |
CN |
HN |
57745 |
<NA> |
27.4500 |
109.6833 |
273.0 |
Asia/Shanghai |
NaT |
NaT |
1943-10-01 |
2024-06-16 |
1943-01-01 |
2022-01-01 |
385777.194866 |
57127 |
Hanzhong |
CN |
SA |
57127 |
<NA> |
33.0667 |
107.0333 |
509.0 |
Asia/Chongqing |
NaT |
NaT |
1951-01-01 |
2024-06-16 |
1951-01-01 |
2022-01-01 |
392269.403309 |
57245 |
Ankang |
CN |
SA |
57245 |
<NA> |
32.7167 |
109.0333 |
291.0 |
Asia/Chongqing |
NaT |
NaT |
NaT |
NaT |
NaT |
NaT |
422762.407542 |
56182 |
Songpan |
CN |
SC |
56182 |
<NA> |
32.6500 |
103.5667 |
2852.0 |
Asia/Chongqing |
NaT |
NaT |
1951-01-01 |
2024-06-16 |
1951-01-01 |
2022-01-01 |
445574.268898 |
56096 |
Wudu |
CN |
GS |
56096 |
<NA> |
33.4000 |
104.9167 |
1079.0 |
Asia/Chongqing |
NaT |
NaT |
1951-01-01 |
2024-06-16 |
1951-01-01 |
2022-01-01 |
453925.554837 |
56571 |
Xichang |
CN |
<NA> |
56571 |
<NA> |
27.9000 |
102.2667 |
1599.0 |
Asia/Chongqing |
NaT |
NaT |
1944-03-30 |
2024-06-16 |
1944-01-01 |
2022-01-01 |
456842.343806 |
57461 |
Yichang |
CN |
HU |
57461 |
<NA> |
30.7000 |
111.3000 |
134.0 |
Asia/Shanghai |
NaT |
NaT |
1951-01-01 |
2024-06-16 |
1951-01-01 |
2022-01-01 |
473788.054130 |
通过气象站ID获取天气数据
代码
# 获取最近的气象站的ID
station_id = nearby_stations.index[0]
# 设置时间范围
start = datetime(2021, 1, 1)
end = datetime(2021, 12, 31)
# 获取每日数据
data = Daily(station_id, start, end)
data = data.fetch()
data.head()
time |
|
|
|
|
|
|
|
|
|
|
2021-01-01 |
6.3 |
4.0 |
10.7 |
0.0 |
NaN |
341.0 |
6.9 |
NaN |
1029.0 |
NaN |
2021-01-02 |
6.6 |
5.0 |
10.7 |
0.0 |
NaN |
5.0 |
9.8 |
NaN |
1024.6 |
NaN |
2021-01-03 |
7.1 |
5.0 |
10.3 |
0.0 |
NaN |
238.0 |
6.6 |
NaN |
1027.8 |
NaN |
2021-01-04 |
7.1 |
5.0 |
10.3 |
0.0 |
NaN |
21.0 |
9.2 |
NaN |
1025.6 |
NaN |
2021-01-05 |
7.8 |
5.0 |
10.8 |
0.0 |
NaN |
325.0 |
5.1 |
NaN |
1027.5 |
NaN |
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