Comments (6)
Hi @DavidLitwin !
Thank you for using HydroFunctions. I apologize, but it looks like I may have updated the interface to hydrofunctions, but haven't updated the documentation. I've actually just made a major change for 0.1.8 that will really improve the user experience, so I haven't worked too hard on fixing all of the old documentation. Anyway, that's no excuse!
Here is what you can do to get yourself a dataframe of hydrology data:
import hydrofunctions as hf
site = '01646000'
start_date = '2017-10-01'
end_date = '2018-10-01'
response = hf.get_nwis(site,'iv', start_date,end_date,parameterCd='00060')
my_dataframe = hf.extract_nwis_df(response.json())
my_dataframe
... and this will produce a nice listing of your new dataframe.
Good luck, and let me know if you have any further trouble!
from hydrofunctions.
Ah, easy enough, thank you. Another question - is there capability to download multiple parameters in the same call? Say:
response = hf.get_nwis(site,'iv', start_date,end_date,parameterCd=['00060','99133','63680'])
Thanks!
from hydrofunctions.
I can't remember if you can do that in 0.1.7, but the new version defaults to request everything collected at a site, and you can list multiple parameters. Unfortunately, you would have to install it from the develop branch on GitHub, because it's not on pypi yet.
from hydrofunctions.
I'm sorry, I'm new to github so I'm still trying to figure this out. I've just tried to install it with:
pip install git+https://github.com/mroberge/hydrofunctions.git@develop
But it seems to give me just version 0.1.7. Am I doing something wrong? Thanks for your help.
from hydrofunctions.
Actually, you have the latest material by installing from Develop, but I didn't modify the version number yet. I usually do that when I finally post everything onto PyPI.
Try loading new data this way (if you don't specify what parameter you want, you'll get every parameter measured at this site:
my_data = hf.NWIS(['01585200','03543500'] 'iv', period='P100D')
This will print out what you have loaded:
my_data
and this will give you a dataframe of just the discharge data:
my_data.df('Q')
If you save the discharge dataframe to a variable, then it is easy to use the Pandas convenience methods, like .plot()
or .describe()
.
from hydrofunctions.
Thanks, got it working!
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Related Issues (20)
- 'discharge' does not filter to only discharge HOT 5
- Make pyarrow an optional dependency
- Some NWIS sites have non-standard parameter codes
- SSL Certification error HOT 3
- mysterious hydrofunctions_testing.log HOT 3
- extract_nwis_df() function returns a tuple with dataframe and dictionary HOT 4
- annual statistics creates invalid URL HOT 1
- The hydrofunctions docstring example no longer works HOT 2
- Request site data from NWIS for stations HOT 2
- requesting rdb data from nonexistent site returns uncaught error
- Update dependencies HOT 7
- Add functionality for multiple sensor / parameter code combinations HOT 6
- What is the relationship between hydrofunctions, Ulmo, dataretrieval, HyRiver, and others? HOT 13
- hf.peaks ParserError month HOT 6
- NWIS & get_nwis should print url before making request HOT 1
- Pandas error: TypeError: Cannot compare type 'Timedelta' with type 'Minute' HOT 5
- Add additional USGS webservices HOT 1
- Update CI system HOT 1
- extract_nwis_df wrong variable name HOT 5
- Create a 'verbose' mode that can be turned off. HOT 1
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