Package: phd-scraper
phd_scraperphd_scraperis a tool to download daily and hourly LatinAmerica
Hydrometeorological datasets using Python. Currently phd_scraper
support the following websites:Historic Data
SENAMHI-PERU.Hidrometeorology Data
SENAMHI-PERUUsers need to regard that the entire dataset does not present control
quality. The use of this data will be the sole responsibility of the
user (see below).DISCLAIMER (Adapted from:https://github.com/ConorIA/senamhiR)The scripts outlined in this document is published under the GNU General
Public License, version 3 (GPL-3.0). The GPL is an open source, copyleft
license that allows for the modification and redistribution of original
works.Programs licensed under the GPL come with NO WARRANTY. In our
case, a simple Python script isn’t likely to blow up your computer or
kill your cat. Nonetheless, it is always a good idea to pay attention to
what you are doing, to ensure that you have downloaded the correct data,
and that everything looks ship-shape.WHAT TO DO IF SOMETHING DOESN’T WORK (Adapted from:https://github.com/ConorIA/senamhiR)If you run into an issue while you are using this script, you can email
us and we can help you troubleshoot the issue. However, if the issue is
related to the script and not your own fault, you should contribute back
to the open source community by reporting the issue. You can report any
issues to us here on GitHub.If that seems like a lot of work, just think about how much work it
would have been to do all the work this package does for you, or how
much time went in to writing these functions … it is more than I’d like
to admit!SENAMHI TERMS OF USE (Adapted from:https://github.com/ConorIA/senamhiR)SENAMHI’s terms of use are inhttps://senamhi.gob.pe/?p=terminos_condiciones, but as of writing that
link was redirecting to the SENAMHI home page. An archived version is
available inhttps://web.archive.org/web/20170822092538/http://senamhi.gob.pe/?p=terminos_condiciones.
The terms allow for the free and public access to information on the
SENAMHI website, in both for-profit and non-profit applications.
However, SENAMHI stipulates that any use of the data must be accompanied
by a disclaimer that SENAMHI is the proprietor of the information. The
following text is recommended (official text in Spanish):Official Spanish: Información recopilada y trabajada por el Servicio
Nacional de Meteorología e Hidrología del Perú. El uso que se le da a
esta información es de mi (nuestra) entera responsabilidad. English
translation: This information was compiled and maintained by Peru’s
National Meteorology and Hydrology Service (SENAMHI). The use of this
data is of my (our) sole responsibility.Installationmugglespipinstallphd_scraperhipsterswgethttps://github.com/PeHMeteoN/phd_scraper/archive/master.zipunzipmaster&&cdphd_scraper-masterpythonsetup.pyinstallUsageSENAMHI -hydrometeorological: Hydrometeorological data throughout Peru.ParametersDescriptionstation_codestation new codeinit_dateInit date to start to downloadlast_dateLast date to start to downloadcompletedataWhether it is True the missing dates will be completed with np.NaNto_csvOutput filenamemetadata_dbRepresent the metadata of the entire network (see phd_scraper.create_metadata)Basic Usagefrom phd_scraper import se_hydrometeo
se_hydrometeo.download(station_code=100090, init_date=2019-01-01, last_date=2019-02-02)Console mode$ cd ~/phd_scraper/phd_scraper/
$ python3 se_hydrometeo.py --station_code 100090 --init_date 2019-01-01 --last_date 2019-02-02 --to_csv test.csvSENAMHI -historicParametersDescriptionstation_codestation new codeto_csvString; Output filename.Basic Usagefrom phd_scraper import se_historic
se_historic.download(code='152204')Console mode$ cd ~/phd_scraper/phd_scraper/
$ python3 se_historic.py --station_code 152204 --outfile test.csvHistoryversion 0.1.3 (2019-12-19)se_historic and se_hydrometeo return a pandas.DataFrameversion 0.1.2 (2019-12-17)First release on PyPI.