Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Improve API #140

Merged
merged 7 commits into from
Jul 22, 2017
Merged

Improve API #140

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
285bcce
ENH: Add ability to access datasets by index (Fixes #134)
dopplershift Jul 9, 2017
ee47ff8
ENH: Enable extracting datasets using datetimes (Fixes #135)
dopplershift Jul 19, 2017
01fedf9
ENH: Adding simpler access methods (Fixes #136)
dopplershift Jul 20, 2017
f11cb78
ENH: Add latest attribute to catalog
dopplershift Jul 20, 2017
77eeea3
MNT: Update examples for API changes
dopplershift Jul 21, 2017
a65193b
MNT: Silence the log message on test failure
dopplershift Jul 21, 2017
3ada1e8
MNT: Update line length for prospector
dopplershift Jul 21, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion .appveyor.yml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@ install:
build: off

test_script:
- cmd: python setup.py test --addopts "-s --junitxml=tests.xml --flake8 --cov=siphon"
- cmd: python setup.py test --addopts "-s --junitxml=tests.xml --flake8 --cov=siphon --no-print-logs"
#- cmd: cd docs
#- cmd: make html
#- cmd: cd ..
Expand Down
2 changes: 1 addition & 1 deletion .prospector.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,4 +13,4 @@ pylint:

pep8:
options:
max-line-length: 90
max-line-length: 95
2 changes: 1 addition & 1 deletion .travis.yml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,7 @@ script:
fi;
else
flake8 --version;
python setup.py test --addopts "-s $TEST_OPTS";
python setup.py test --addopts "-s $TEST_OPTS --no-print-logs";
fi

after_script:
Expand Down
2 changes: 1 addition & 1 deletion examples/Basic_Usage.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -19,4 +19,4 @@

###########################################
cat = TDSCatalog('http://thredds.ucar.edu/thredds/catalog.xml')
print(list(cat.catalog_refs.keys()))
print(list(cat.catalog_refs))
2 changes: 1 addition & 1 deletion examples/Radar_Server_Level_3.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@
# First, point to the top-level thredds radar server accessor to find what datasets are
# available.
ds = get_radarserver_datasets('http://thredds.ucar.edu/thredds/')
print(list(ds.keys()))
print(list(ds))

###########################################
# Now create an instance of RadarServer to point to the appropriate
Expand Down
11 changes: 3 additions & 8 deletions examples/ncss/NCSS_Cartopy_Example.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,6 @@
import numpy as np

from siphon.catalog import TDSCatalog
from siphon.ncss import NCSS

###########################################
# First we construct a `TDSCatalog` instance pointing to our dataset of interest, in
Expand All @@ -32,13 +31,9 @@
print(list(best_gfs.datasets))

###########################################
# We pull out this dataset and look at the access urls.
best_ds = list(best_gfs.datasets.values())[0]
print(best_ds.access_urls)

###########################################
# Note the `NetcdfSubset` entry, which we will use with our NCSS class.
ncss = NCSS(best_ds.access_urls['NetcdfSubset'])
# We pull out this dataset and get the NCSS access point
best_ds = best_gfs.datasets[0]
ncss = best_ds.subset()

###########################################
# We can then use the `ncss` object to create a new query object, which
Expand Down
11 changes: 3 additions & 8 deletions examples/ncss/NCSS_Example.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,6 @@
import matplotlib.pyplot as plt

from siphon.catalog import TDSCatalog
from siphon.ncss import NCSS

###########################################
# First we construct a TDSCatalog instance pointing to our dataset of interest, in
Expand All @@ -24,13 +23,9 @@
print(best_gfs.datasets)

###########################################
# We pull out this dataset and look at the access urls.
best_ds = list(best_gfs.datasets.values())[0]
print(best_ds.access_urls)

###########################################
# Note the `NetcdfSubset` entry, which we will use with our NCSS class.
ncss = NCSS(best_ds.access_urls['NetcdfSubset'])
# We pull out this dataset and get the NCSS access point
best_ds = best_gfs.datasets[0]
ncss = best_ds.subset()

###########################################
# We can then use the `ncss` object to create a new query object, which
Expand Down
11 changes: 3 additions & 8 deletions examples/ncss/NCSS_Timeseries_Examples.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,6 @@
from netCDF4 import num2date

from siphon.catalog import TDSCatalog
from siphon.ncss import NCSS

###########################################
# First we construct a TDSCatalog instance pointing to our dataset of interest, in
Expand All @@ -25,13 +24,9 @@
print(best_gfs.datasets)

###########################################
# We pull out this dataset and look at the access urls.
best_ds = list(best_gfs.datasets.values())[0]
print(best_ds.access_urls)

###########################################
# Note the `NetcdfSubset` entry, which we will use with our NCSS class.
ncss = NCSS(best_ds.access_urls['NetcdfSubset'])
# We pull out this dataset and get the NCSS access point
best_ds = best_gfs.datasets[0]
ncss = best_ds.subset()

###########################################
# We can then use the `ncss` object to create a new query object, which
Expand Down
Loading