meteostat
No "tsun" values and month values for Jan., Feb. 2023
Dear all.
First of all, thanks for this very nice Python library!
I have found two issues:
- In the period between last year and now, there are no "tsun" values.
- For January and February 2023, there are no values when using 'Monthly'.
Thanks in advance for some help.
Code
# Import Meteostat library and dependencies
from datetime import datetime
import matplotlib.pyplot as plt
from meteostat import Point, Daily, Monthly, Hourly
# Set time period
start = datetime(2022, 1, 1)
end = datetime(2023, 3, 1)
# Create Point
location = Point(43.2508325, 5.4258028, 286)
data = Hourly(location, start, end)
data = data.fetch()
print(data)
data = Daily(location, start, end)
data = data.fetch()
print(data)
data = Monthly(location, start, end)
data = data.fetch()
print(data)
Output
temp dwpt rhum prcp snow wdir wspd wpgt pres tsun coco
time
2022-01-01 00:00:00 8.3 7.4 94.0 0.0 0.0 0.0 0.0 9.0 1025.6 NaN 5.0
2022-01-01 01:00:00 7.7 6.6 93.0 0.0 NaN 200.0 5.4 11.1 1025.4 NaN 5.0
2022-01-01 02:00:00 9.2 6.5 83.0 0.0 NaN 160.0 5.4 13.0 1025.6 NaN 5.0
2022-01-01 03:00:00 7.1 5.6 90.0 0.0 0.0 40.0 13.0 8.0 1025.4 NaN 5.0
2022-01-01 04:00:00 8.0 6.0 87.0 0.0 NaN 110.0 3.6 11.1 1025.4 NaN 5.0
... ... ... ... ... ... ... ... ... ... ... ...
2023-02-28 20:00:00 5.9 0.9 70.0 0.0 NaN 339.0 23.8 22.2 1015.6 NaN 3.0
2023-02-28 21:00:00 5.4 1.1 74.0 0.0 NaN 350.0 22.3 20.4 1015.5 NaN 3.0
2023-02-28 22:00:00 5.1 1.6 78.0 0.0 NaN 8.0 21.2 20.4 1015.6 NaN 3.0
2023-02-28 23:00:00 5.3 2.1 80.0 0.0 NaN 358.0 20.9 20.4 1015.7 NaN 3.0
2023-03-01 00:00:00 5.2 2.4 82.0 0.0 NaN 345.0 23.0 18.5 1015.3 NaN 3.0
[10177 rows x 11 columns]
tavg tmin tmax prcp snow wdir wspd wpgt pres tsun
time
2022-01-01 9.4 6.7 12.8 0.0 NaN 232.0 4.7 24.1 1026.6 NaN
2022-01-02 8.9 6.6 12.3 0.0 NaN 339.0 12.7 24.0 1026.9 NaN
2022-01-03 9.7 7.8 13.5 0.0 NaN 295.0 30.5 21.0 1021.6 NaN
2022-01-04 11.2 8.0 14.0 0.3 NaN 113.0 22.7 42.6 1010.6 NaN
2022-01-05 6.9 2.8 11.3 0.5 NaN 311.0 47.7 117.0 1004.5 NaN
... ... ... ... ... ... ... ... ... ... ...
2023-02-25 10.6 8.8 13.5 3.2 NaN 330.0 10.7 30.0 1001.8 NaN
2023-02-26 6.4 2.1 11.2 17.8 NaN 320.0 33.0 85.0 997.9 NaN
2023-02-27 4.3 2.2 7.3 8.2 NaN 356.0 28.6 37.0 1009.0 NaN
2023-02-28 6.8 4.4 10.0 9.2 NaN 359.0 28.2 29.6 1014.9 NaN
2023-03-01 6.5 4.0 9.5 0.0 NaN 333.0 22.9 22.2 1013.9 NaN
[425 rows x 10 columns]
tavg tmin tmax prcp wspd pres tsun
time
2022-01-01 7.0 3.7 11.3 1.3 20.2 1023.5 NaN
2022-02-01 9.0 5.8 12.4 28.0 32.6 1021.6 NaN
2022-03-01 10.2 4.2 15.9 NaN NaN NaN NaN
2022-04-01 12.1 9.5 14.8 43.5 23.1 1012.6 NaN
2022-05-01 19.1 13.2 25.1 9.7 14.4 1016.6 NaN
2022-06-01 22.4 19.5 25.2 23.4 20.8 1014.5 NaN
2022-07-01 25.0 21.9 28.2 0.0 16.5 1016.0 NaN
2022-08-01 24.4 21.5 27.4 18.1 18.0 1012.9 NaN
2022-09-01 20.4 17.1 24.4 58.0 22.3 1012.8 NaN
2022-10-01 18.3 15.5 22.3 29.8 20.6 1021.0 NaN
2022-11-01 12.7 10.2 15.7 97.2 27.5 1015.6 NaN
2022-12-01 9.9 7.6 12.6 141.0 16.8 1015.1 NaN
Hi @karumbis,
Unfortunately, there isn't much we can do about it. tsun is one of the parameters which isn't well covered by most weather stations. We can only try to incorporate more data sources moving forward. But it might be the data simply isn't available for the weather stations in this area.
Regarding the delay in monthly data, I'm planning something for v2 of the library which will eliminate this delay (almost) completely by querying (most) data sources directly. However, this is more a mid to long-term solution. In the meanwhile, can you manually aggregate monthly values from daily data?
Hi Clampr,
Thanks for your comments. No problem with the sunshine data and the monthly values. The latter can be indeed build from the daily values. Cheers.