Comments (4)
Was able to reproduce. This is sort of related to #44. Need to better handle when the CO-OPS API does not return data for large data requests.
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To see if the size of the data request mattered, I retested trying to download just one day in 1994. This also failed and I am getting a new error.
import noaa_coops as nc
sta = nc.Station("8638610")
lat, lon = sta.lat_lon
data_wl = sta.get_data(begin_date="19940526",
end_date="19940527",
product="water_level",
datum="NAVD",
units="english",
time_zone="lst"
)
COOPSAPIError: No data was found. This product may not be offered at this station at the requested time.
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@lassiterdc see my comment here: #44 (comment)
TLDR - try using product=hourly_height
instead of product=water_level
.
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I see, thanks a lot!
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Related Issues (20)
- Issues downloading large Met data requests
- `pandas.io.json.json_normalize` is deprecated, use `pandas.json_normalize` instead HOT 1
- ValueError: No Predictions data was found. Please make sure the Datum input is valid. HOT 1
- Selecting stations by bounding box HOT 2
- deprecated append method fname.append HOT 2
- Column names should keep the product name HOT 2
- noaa_coops.py doesn't handle HTML exceptions HOT 2
- IOOS SOS API access? HOT 1
- _parse_known_date_formats is broken HOT 1
- Pulled data from the package does not match with the downloaded data from noaa website HOT 1
- Fails to download data before 1996 HOT 3
- Records should be deduped based on datetime index. Not column values. HOT 2
- Scripts to get the harmonic constituents of a station HOT 1
- numpy version requirement? HOT 3
- Failed dependency for `pandas` HOT 2
- Station syntax HOT 1
- Pulling conductivity data has an issue
- Issue with downloading 6 min data HOT 1
- No Station Inventory data available HOT 1
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