[format-command] fixes

pygmt/io.py

@@ -1,46 +1,46 @@
-"""
-PyGMT input/output (I/O) utilities.
-"""
-import xarray as xr
-
-
-def load_dataarray(filename_or_obj, **kwargs):
-    """
-    Open, load into memory, and close a DataArray from a file or file-like
-    object containing a single data variable.
-
-    This is a thin wrapper around :py:func:`xarray.open_dataarray`. It differs
-    from :py:func:`xarray.open_dataarray` in that it loads the DataArray into
-    memory, gets GMT specific metadata about the grid via
-    :py:meth:`GMTDataArrayAccessor`, closes the file, and returns the
-    DataArray. In contrast, :py:func:`xarray.open_dataarray` keeps the file
-    handle open and lazy loads its contents. All parameters are passed directly
-    to :py:func:`xarray.open_dataarray`. See that documentation for further
-    details.
-
-    Parameters
-    ----------
-    filename_or_obj : str or pathlib.Path or file-like or DataStore
-        Strings and Path objects are interpreted as a path to a netCDF file
-        or an OpenDAP URL and opened with python-netCDF4, unless the filename
-        ends with .gz, in which case the file is gunzipped and opened with
-        scipy.io.netcdf (only netCDF3 supported). Byte-strings or file-like
-        objects are opened by scipy.io.netcdf (netCDF3) or h5py (netCDF4/HDF).
-
-    Returns
-    -------
-    datarray : xarray.DataArray
-        The newly created DataArray.
-
-    See Also
-    --------
-    xarray.open_dataarray
-    """
-    if "cache" in kwargs:
-        raise TypeError("cache has no effect in this context")
-
-    with xr.open_dataarray(filename_or_obj, **kwargs) as dataarray:
-        result = dataarray.load()
-        _ = result.gmt  # load GMTDataArray accessor information
-
-    return result
+"""
+PyGMT input/output (I/O) utilities.
+"""
+import xarray as xr
+
+
+def load_dataarray(filename_or_obj, **kwargs):
+    """
+    Open, load into memory, and close a DataArray from a file or file-like
+    object containing a single data variable.
+
+    This is a thin wrapper around :py:func:`xarray.open_dataarray`. It differs
+    from :py:func:`xarray.open_dataarray` in that it loads the DataArray into
+    memory, gets GMT specific metadata about the grid via
+    :py:meth:`GMTDataArrayAccessor`, closes the file, and returns the
+    DataArray. In contrast, :py:func:`xarray.open_dataarray` keeps the file
+    handle open and lazy loads its contents. All parameters are passed directly
+    to :py:func:`xarray.open_dataarray`. See that documentation for further
+    details.
+
+    Parameters
+    ----------
+    filename_or_obj : str or pathlib.Path or file-like or DataStore
+        Strings and Path objects are interpreted as a path to a netCDF file
+        or an OpenDAP URL and opened with python-netCDF4, unless the filename
+        ends with .gz, in which case the file is gunzipped and opened with
+        scipy.io.netcdf (only netCDF3 supported). Byte-strings or file-like
+        objects are opened by scipy.io.netcdf (netCDF3) or h5py (netCDF4/HDF).
+
+    Returns
+    -------
+    datarray : xarray.DataArray
+        The newly created DataArray.
+
+    See Also
+    --------
+    xarray.open_dataarray
+    """
+    if "cache" in kwargs:
+        raise TypeError("cache has no effect in this context")
+
+    with xr.open_dataarray(filename_or_obj, **kwargs) as dataarray:
+        result = dataarray.load()
+        _ = result.gmt  # load GMTDataArray accessor information
+
+    return result