subset from interface and reformat (#57)

* Update environment

* Update docs env

* Update env

* update build

* update build

* update build

* update build

* Update docs

* Update changelog

* Add option to create subset from interface

* Reformat and update docs

* Update changelog

* fix np.int

.readthedocs.yml

@@ -5,6 +5,11 @@ build:
   tools:
     python: mambaforge-4.10
 
+python:
+  install:
+    - method: pip
+      path: .
+
 sphinx:
   configuration: docs/conf.py
 

CHANGELOG.rst

@@ -13,6 +13,7 @@ Version 1.3.0
 - Add module to assign custom metadata readers to ISMN_Interface
 - Notebook added that describes using a custom metadata reader
 - RTD build uses a separate, smaller environment.yml now (and mamba)
+- ISMN_Interface now has a method to create an instance of itself for a selection of  (`ISMN_Interface.subset_from_ids`)
 
 
 Version 1.2.0

README.rst

@@ -26,9 +26,9 @@ https://ismn.earth
 
 The following tutorials are available in ``docs/examples``:
 
- `1) ISMN reader basic functionality <docs/examples/interface.ipynb>`_
+ `1) ISMN reader basic functionality <https://ismn.readthedocs.io/en/latest/examples/interface.html>`_
 
- `2) Adding custom metadata readers <docs/examples/custom_meta.ipynb>`_
+ `2) Adding custom metadata readers <https://ismn.readthedocs.io/en/latest/examples/custom_meta.html>`_
 
 Citation
 ========
@@ -238,6 +238,14 @@ If you want to contribute please follow these steps:
   We use pytest so a simple function called test_my_feature is enough
 - submit a pull request to our master branch
 
+Code Formatting
+---------------
+To apply pep8 conform styling to any changed files [we use `yapf`](https://github.com/google/yapf). The correct
+settings are already set in `setup.cfg`. Therefore the following command
+should be enough:
+
+    yapf file.py --in-place
+
 Release new version
 -------------------
 

environment.yml

@@ -17,5 +17,6 @@ dependencies:
      - sphinx
      - nbsphinx
      - sphinx_rtd_theme
+     - yapf
      - pytest
      - pytest-cov

setup.cfg

@@ -121,3 +121,8 @@ version = 4.0.2
 package = ismn
 extensions =
     no_skeleton
+
+[yapf]
+based_on_style = yapf
+indent_width = 4
+column_limit = 79

src/ismn/base.py

@@ -33,6 +33,7 @@
 
 
 def zip(func):
+
     def wrapper(cls, *args, **kwargs):
         if not cls.zip:
             raise IOError("Zip archive expected, use @dir functions instead.")
@@ -42,9 +43,11 @@ def wrapper(cls, *args, **kwargs):
 
 
 def dir(func):
+
     def wrapper(cls, *args, **kwargs):
         if cls.zip:
-            raise IOError("Unzipped archive expected, use @zip functions instead.")
+            raise IOError(
+                "Unzipped archive expected, use @zip functions instead.")
         return func(cls, *args, **kwargs)
 
     return wrapper
@@ -124,8 +127,8 @@ def clean_subpath(self, subpath) -> Union[Path, PurePosixPath]:
             subpath = PurePosixPath(subpath)
         else:
             assert (
-                self.path / Path(subpath)
-            ).exists(), "Subpath does not exist in archive"
+                self.path /
+                Path(subpath)).exists(), "Subpath does not exist in archive"
 
         return subpath
 
@@ -185,7 +188,8 @@ def __scan_dir(self, station_subdirs: bool = True) -> OrderedDict:
                         if net not in cont.keys():
                             cont[net] = np.array([])
                         if station_subdirs:
-                            cont[net] = np.append(cont[net], Path(net, stat.name))
+                            cont[net] = np.append(cont[net],
+                                                  Path(net, stat.name))
                         else:
                             cont[net] = np.append(cont[net], stat.name)
 
@@ -194,7 +198,9 @@ def __scan_dir(self, station_subdirs: bool = True) -> OrderedDict:
         return self.cont
 
     @dir
-    def __find_files_dir(self, subpath: str = None, fn_templ: str = "*.csv") -> list:
+    def __find_files_dir(self,
+                         subpath: str = None,
+                         fn_templ: str = "*.csv") -> list:
         """
         Find files in the archive or a subdirectory of the archive
         that match to the passed filename template.
@@ -209,7 +215,9 @@ def __find_files_dir(self, subpath: str = None, fn_templ: str = "*.csv") -> list
         return filenames
 
     @zip
-    def __find_files_zip(self, subpath: str = None, fn_templ: str = "*.csv") -> list:
+    def __find_files_zip(self,
+                         subpath: str = None,
+                         fn_templ: str = "*.csv") -> list:
         """
         Find files in zip archive that match the passed template and subdir.
         """
@@ -224,8 +232,7 @@ def __find_files_zip(self, subpath: str = None, fn_templ: str = "*.csv") -> list
             filter(
                 lambda f: fnmatch.fnmatch(f, f"{subpath}/{fn_templ}"),
                 all_files,
-            )
-        ).copy()
+            )).copy()
 
         return filterlist
 
@@ -330,8 +337,7 @@ def extract_dir(self, subdir_in_archive, out_path):
         ls = np.array(self.zip.namelist())
 
         filterlist = list(
-            filter(lambda x: x.startswith(str(subdir_in_archive)), ls)
-        ).copy()
+            filter(lambda x: x.startswith(str(subdir_in_archive)), ls)).copy()
 
         self.zip.extractall(members=filterlist, path=out_path)
 

src/ismn/citations.txt

@@ -101,7 +101,8 @@ TAHMO;We acknowledge the work of Nicolaas Cornelis van de Giesen and Frank Annor
 TERENO;Zacharias, S., H.R. Bogena, L. Samaniego, M. Mauder, R. Fuß, T. Puetz, M. Frenzel, M. Schwank, C. Baessler, K. Butterbach-Bahl, O. Bens, E. Borg, A. Brauer, P. Dietrich, I. Hajnsek, G. Helle, R. Kiese, H. Kunstmann, S. Klotz, J.C. Munch, H. Papen, E. Priesack, H. P. Schmid, R. Steinbrecher, U. Rosenbaum, G. Teutsch, H. Vereecken. 2011. A Network of Terrestrial Environmental Observatories in Germany. Vadose Zone J. 10. 955–973. doi:10.2136/vzj2010.0139
 TERENO;Bogena, H., Kunkel, R., Puetz, T., Vereecken, H., Kruger, E., Zacharias, S., Dietrich, P., Wollschlaeger, U., Kunstmann, H., Papen, H., Schmid, H., Munch, J., Priesack, E., Schwank, M., Bens, O., Brauer, A., Borg, E. & Hajnsek, I. (2012), ‘Tereno - long-term monitoring network for terrestrial environmental research’, Hydrologie und Wasserbewirtschaftung 56, 138–143.
 TERENO;Bogena, H. R. (2016), ‘Tereno: German network of terrestrial environmental observatories’, Journal of large-scale research facilities JLSRF 2, 52.
-UDC_SMOS;Schlenz, F., Dall'Amico, J., Loew, A., Mauser, W. (2012): Uncertainty Assessment of the SMOS Validation in the Upper Danube Catchment. IEEE Transactions on Geoscience and Remote Sensing, 50(5), pp.1517–1529. doi: 10.1109/TGRS.2011.2171694. 
+TxSON;Caldwell, T. G., T. Bongiovanni, M. H. Cosh, T. J. Jackson, A. Colliander, C. J. Abolt, R. Casteel, T. Larson, B. R. Scanlon, and M. H. Young (2019), The Texas Soil Observation Network: A comprehensive soil moisture dataset for remote sensing and land surface model validation, Vadose Zone Journal, 18:100034, doi:10.2136/vzj2019.04.0034
+UDC_SMOS;Schlenz, F., Dall'Amico, J., Loew, A., Mauser, W. (2012): Uncertainty Assessment of the SMOS Validation in the Upper Danube Catchment. IEEE Transactions on Geoscience and Remote Sensing, 50(5), pp.1517–1529. doi: 10.1109/TGRS.2011.2171694.
 UDC_SMOS;A. Loew, J. T. Dall'Amico, F. Schlenz, W. Mauser (2009): The Upper Danube soil moisture validation site: measurements and activities, paper presented at Earth Observation and Water Cycle conference, Frascati (Rome), 18 - 20 November 2009, to be published in ESA Special dataation SP-674.
 UMBRIA;Brocca, L., Hasenauer, S., Lacava, T., Melone, F., Moramarco, T., Wagner, W., Dorigo, W., Matgen, P., Martínez-Fernández, J., Llorens, P., Latron, J., Martin, C., Bittelli, M. (2011). Soil moisture estimation through ASCAT and AMSR-E sensors: an intercomparison and validation study across Europe. Remote Sensing of Environment, 115, 3390-3408, doi:10.1016/j.rse.2011.08.003.
 UMBRIA;Brocca, L., Melone, F., Moramarco, T. (2008). On the estimation of antecedent wetness condition in rainfall-runoff modelling. Hydrological Processes, 22 (5), 629-642.

src/ismn/components.py

@@ -106,15 +106,14 @@ def __init__(
         self.name = name if name is not None else self.__repr__()
 
     def __repr__(self):
-        return (
-            f"{self.instrument}_{self.variable}_"
-            f"{self.depth.start:1.6f}_{self.depth.end:1.6f}"
-        )
+        return (f"{self.instrument}_{self.variable}_"
+                f"{self.depth.start:1.6f}_{self.depth.end:1.6f}")
 
     @property
     def metadata(self) -> MetaData:
-        return MetaData() if self.filehandler is None else self.filehandler.metadata
-
+        return MetaData(
+        ) if self.filehandler is None else self.filehandler.metadata
+
     @property
     def data(self):
         return self.read_data()
@@ -261,7 +260,7 @@ def __init__(self, name, lon, lat, elev):
 
     def __repr__(self):
         # Provide basic station information.
-        return f"Sensors at '{self.name}': {[s.name for s in self.sensors.values()]}"
+        return f"Station '{self.name}' with Sensors: {[s.name for s in self.sensors.values()]}"
 
     @property
     def metadata(self) -> MetaData:
@@ -317,9 +316,10 @@ def get_depths(self, variable=None):
 
         return depths
 
-    def get_min_max_obs_timestamp(
-        self, variable="soil moisture", min_depth=None, max_depth=None
-    ):
+    def get_min_max_obs_timestamp(self,
+                                  variable="soil moisture",
+                                  min_depth=None,
+                                  max_depth=None):
         """
         Goes through the sensors associated with this station
         and checks the metadata to get and approximate time coverage of the station.
@@ -467,14 +467,10 @@ def get_sensors(self, variable, depth_from, depth_to):
         sensors : numpy.ndarray
             array of sensors found for the given combination of variable and depths
         """
-        return np.array(
-            [
-                s
-                for s in self.iter_sensors(
-                    variable=variable, depth=Depth(depth_from, depth_to)
-                )
-            ]
-        )
+        return np.array([
+            s for s in self.iter_sensors(
+                variable=variable, depth=Depth(depth_from, depth_to))
+        ])
 
 
 class Network(IsmnComponent):
@@ -513,7 +509,7 @@ def __init__(self, name, stations=None):
 
     def __repr__(self):
         # Provide basic Network information.
-        return f"Stations in '{self.name}': {list(self.stations.keys())}"
+        return f"Network '{self.name}' with Stations: {list(self.stations.keys())}"
 
     def __getitem__(self, item: Union[int, str]):
         # shortcut to access networks directly
@@ -662,7 +658,6 @@ class NetworkCollection(IsmnComponent):
     """
 
     def __init__(self, networks):
-
         """
         Create network collection from previously created Networks.
 
@@ -682,21 +677,30 @@ def __init__(self, networks):
             lons += net_lons
             lats += net_lats
 
-        self.grid = BasicGrid(lons, lats) if (len(lons) > 0 and len(lats) > 0) else None
+        self.grid = BasicGrid(lons, lats) if (len(lons) > 0 and
+                                              len(lats) > 0) else None
 
     def __repr__(self, indent: str = ""):
-        return ",\n".join(
-            [
-                f"{indent}{net.name}: {list(net.stations.keys())}"
-                for net in self.networks.values()
-            ]
-        )
+        return ",\n".join([
+            f"{indent}{net.name}: {list(net.stations.keys())}"
+            for net in self.networks.values()
+        ])
 
-    def __getitem__(self, item: Union[int, str]):
+    def __getitem__(self, item: Union[int, str, list]) -> \
+            Union["NetworkCollection", Network]:
         # shortcut to access networks directly
-        if isinstance(item, int):
-            item = list(self.networks.keys())[item]
-        return self.networks[item]
+        if isinstance(item, (int, str)):
+            if isinstance(item, int):
+                item = list(self.networks.keys())[item]
+            net: Network = self.networks[item]
+            return net
+        else:
+            keys = list(self.networks.keys())
+            sub: NetworkCollection = NetworkCollection(networks=[
+                self.networks[n] if isinstance(n, str) else self
+                .networks[keys[n]] for n in item
+            ])
+            return sub
 
     def iter_networks(self) -> Network:
         """
@@ -741,7 +745,8 @@ def station4gpi(self, gpi):
         in_grid = np.isin(idxs, self.grid.activegpis)
 
         if not all(in_grid):
-            raise ValueError(f"Index not found in loaded grid: {idxs[~in_grid]}")
+            raise ValueError(
+                f"Index not found in loaded grid: {idxs[~in_grid]}")
 
         lon, lat = self.grid.gpi2lonlat(idxs)
 
@@ -798,15 +803,16 @@ def export_citations(self, out_file=None):
         references: OrderedDict
             Network names as keys and network references as values
         """
-        refs = OrderedDict(
-            [(net.name, net.get_citations()) for net in self.iter_networks()]
-        )
+        refs = OrderedDict([
+            (net.name, net.get_citations()) for net in self.iter_networks()
+        ])
 
         if out_file is not None:
             with open(out_file, mode="w") as out_file:
                 for name, reflist in refs.items():
                     out_file.write(f"References for Network {name}:\n")
-                    out_file.write("-----------------------------------------\n")
+                    out_file.write(
+                        "-----------------------------------------\n")
                     for ref in reflist:
                         out_file.write(f"{ref}\n")
                         out_file.write("\n")