rename patch.new to patch.update

dascore/core/attrs.py

@@ -456,10 +456,12 @@ def merge_compatible_coords_attrs(
     Merge the coordinates and attributes of patches or raise if incompatible.
 
     The rules for compatibility are:
-        - All attrs must be equal other than history.
-        - Patches must share the same dimensions, in the same order
-        - All dimensional coordinates must be strictly equal
-        - If patches share a non-dimensional coordinate they must be equal.
+
+    - All attrs must be equal other than history.
+    - Patches must share the same dimensions, in the same order
+    - All dimensional coordinates must be strictly equal
+    - If patches share a non-dimensional coordinate they must be equal.
+
     Any coordinates or attributes contained by a single patch will be included
     in the output.
 

dascore/core/patch.py

@@ -175,7 +175,9 @@ def size(self) -> tuple[int, ...]:
 
     # --- basic patch functionality.
 
-    new = dascore.proc.new
+    update = dascore.proc.update
+    # Before 0.1.0 update was called new, this is for backwards compatibility.
+    new = dascore.proc.update
     equals = dascore.proc.equals
     update_attrs = dascore.proc.update_attrs
     assert_has_coords = dascore.proc.assert_has_coords

dascore/proc/basic.py

@@ -139,7 +139,7 @@ def equals(self: PatchType, other: Any, only_required_attrs=True) -> bool:
     return np.equal(self.data, other.data).all()
 
 
-def new(
+def update(
     self: PatchType,
     data: ArrayLike | np.ndarray | None = None,
     coords: None | dict[str | Sequence[str], ArrayLike] | CoordManager = None,

dascore/proc/rolling.py

@@ -112,7 +112,7 @@ def apply(self, function):
         out = self._pad_roll_array(raw)
         new_coords = self.get_coords()
         attrs = self._get_attrs_with_apply_history(function)
-        return self.patch.new(data=out, coords=new_coords, attrs=attrs)
+        return self.patch.update(data=out, coords=new_coords, attrs=attrs)
 
     def mean(self):
         """Apply mean to moving window."""
@@ -168,7 +168,7 @@ def _repack_patch(self, df, attrs=None):
         if len(data.shape) != len(self.patch.data.shape):
             data = np.squeeze(data)
         coords = self.get_coords()
-        return self.patch.new(data=data, coords=coords, attrs=attrs)
+        return self.patch.update(data=data, coords=coords, attrs=attrs)
 
     def _call_rolling_func(self, name, *args, **kwargs):
         """Helper function for calling a rolling function."""

dascore/transform/strain.py

@@ -39,4 +39,4 @@ def velocity_to_strain_rate(
     new_attrs = patch.attrs.update(
         data_type="strain_rate", gauge_length=step * gauge_multiple
     )
-    return patch.new(attrs=new_attrs)
+    return patch.update(attrs=new_attrs)

dascore/utils/time.py

@@ -24,13 +24,28 @@ def to_datetime64(obj: timeable_types | np.ndarray):
     This function accepts a wide range of inputs and returns something
     of the same shape, but converted to numpy's datetime64 representation.
 
+    Parameters
+    ----------
+    obj
+        An object to convert to a datetime64. If a string is passed, it
+        should conform to [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601).
+        Floats and integers are interpreted as seconds from Jan 1st, 1970.
+        Arrays and Series of floats or strings are also supported.
+
     Examples
     --------
-    >>> # Convert an [iso 8601](https://en.wikipedia.org/wiki/ISO_8601) string
+    >>> import numpy as np
     >>> import dascore as dc
-    >>> time = dc.to_datetime64('2017-09-17T12:11:01.23212')
-    >>> # Convert a timestamp (float)
-    >>> dt = dc.to_datetime64(631152000.0)
+    >>>
+    >>> # Convert an iso 8601 string to datetime64
+    >>> dt_1 = dc.to_datetime64('2017-09-17T12:11:01.23212')
+    >>>
+    >>> # Convert a time stamp (seconds from 1970) to datetime64
+    >>> dt_2 = dc.to_datetime64(631152000.0)
+    >>>
+    >>> # Convert an array of time stamps to datetime64
+    >>> timestamp_array = np.random.uniform(1704400000, 1704900000)
+    >>> dt_array = dc.to_datetime64(timestamp_array)
     """
     if pd.isnull(obj):
         return np.datetime64("NaT")
@@ -124,13 +139,27 @@ def to_timedelta64(obj: float | np.ndarray | str | timedelta):
     This function accepts a wide range of inputs and returns something
     of the same shape, but converted to numpy's timedelta64 representation.
 
+    Parameters
+    ----------
+    obj
+        An object to convert to timedelta64. Can be a float, str or arary of
+        such. Floats are interpreted as seconds and strings must conform to
+        the output style of timedeltas (e.g. str(time_delta)).
+
     Examples
     --------
-    >>> # Convert a float to seconds
     >>> import dascore as dc
-    >>> d_time_1 = dc.to_timedelta64(10.1232)
-    >>> # also works on negative numbers
-    >>> d_time_2 = dc.to_datetime64(-10.5)
+    >>>
+    >>> # Convert a float to timedelta64 representing seconds.
+    >>> td_1 = dc.to_timedelta64(10.1232)
+    >>>
+    >>> # This also works on negative numbers.
+    >>> td_2 = dc.to_datetime64(-10.5)
+    >>>
+    >>> # Convert a string to timedelta64
+    >>> td_str = "1000000000 nanoseconds"
+    >>> td_3 = dc.to_timedelta64(td_str)
+
     """
     if pd.isnull(obj):
         return np.timedelta64("NaT")

docs/styles.css

@@ -44,11 +44,8 @@ th {
 
 
 /*This makes every other row striped. */
-
-
-
 tbody tr:nth-child(odd) {
-    background-color: rgba(210, 209, 209, 0.2);
+    background-color: rgba(210, 209, 209, 0.35);
 }
 
 

docs/tutorial/patch.qmd

@@ -282,24 +282,24 @@ patch.viz.waterfall(show=True, scale=0.2);
 
 Because patches should be treated as immutable objects, they can't be modified with normal attribute assignment. However, DASCore provides several methods that return new patches with modifications. 
 
-## New
+## Update
 
-[`Patch.new`](`dascore.core.patch.Patch.new`) uses the Patch as a template and returns a new Patch with one or more aspects modified.
+[`Patch.update`](`dascore.core.patch.Patch.update`) uses the `Patch` instances as a template and returns a new `Patch` instances with one or more aspects modified.
 
 ```{python}
 import dascore as dc
 pa = dc.get_example_patch()
 
 # Create a copy of patch with new data but coords and attrs stay the same.
-new_data_patch = pa.new(data=pa.data * 10)
+new_data_patch = pa.update(data=pa.data * 10)
 
 # Completely replace the attributes.
-new_data_patch = pa.new(attrs=dict(station="TMU"))
+new_data_patch = pa.update(attrs=dict(station="TMU"))
 ```
 
 ## Update attrs
 
-[`Patch.update_attrs`](`dascore.core.patch.Patch.update_attrs`) is for making changes to the attrs (metadata) while keeping the unaffected metadata (`Patch.new` completely replaces the old attrs).
+[`Patch.update_attrs`](`dascore.core.patch.Patch.update_attrs`) is for making changes to the attrs (metadata) while keeping the unaffected metadata (`Patch.update` would completely replace the old attrs).
 
 ```{python}
 import dascore as dc
@@ -351,7 +351,6 @@ new_time = pa.coords.min('time') + one_second
 new = pa.update_coords(time_min=new_time)
 ```
 
-
 ### Adding coordinates
 
 Commonly, additional coordinates, such as latitude/longitude, are attached to a particular dimension such as distance. It is also possible to include coordinates that are not associated with any dimensions.
@@ -406,7 +405,7 @@ patch_detached_lat = patch.update_coords(latitude=(None, lat))
 
 ## Dropping coordinates
 
-Non-dimensional coordinates can be dropped using `Patch.drop_coords`. Dimensional coordinates, however, cannot be dropped doing so would force the patch data to become degenerate.
+Non-dimensional coordinates can be dropped using [`Patch.drop_coords`](`dascore.proc.coords.drop_coords`). Dimensional coordinates, however, cannot be dropped doing so would force the patch data to become degenerate.
 
 ```{python}
 import dascore as dc

tests/test_core/test_patch.py

@@ -218,7 +218,7 @@ def test_erase_history(self, random_patch):
         assert patch.attrs.history
         new_attrs = dict(patch.attrs)
         new_attrs["history"] = []
-        new_patch = patch.new(attrs=new_attrs)
+        new_patch = patch.update(attrs=new_attrs)
         assert not new_patch.attrs.history
 
     def test_new_coord_dict_order(self, random_patch):
@@ -238,7 +238,7 @@ def test_new_coord_dict_order(self, random_patch):
     def test_attrs_preserved_when_not_specified(self, random_patch):
         """If attrs is not passed to new, old attrs should remain."""
         pa = random_patch.update_attrs(network="bob", tag="2", station="10")
-        new_1 = pa.new(data=pa.data * 10)
+        new_1 = pa.update(data=pa.data * 10)
         assert new_1.attrs == pa.attrs
 
     def test_new_dims_renames_dims(self, random_patch):
@@ -368,7 +368,7 @@ def test_one_coord_not_equal(self, wacky_dim_patch):
         coord_array[20:30] *= 0.9
         assert not np.allclose(coord_array, coords.get_array("distance"))
         new_patch = patch.update_coords(distance=coord_array)
-        new = patch.new(coords=new_patch.coords)
+        new = patch.update(coords=new_patch.coords)
         assert new != patch
 
     def test_other_types(self, random_patch):

tests/test_core/test_spool.py

@@ -484,7 +484,7 @@ def test_changed_memory_spool(self, random_patch):
         # create new patch with cleared history
         new_attrs = dict(patch.attrs)
         new_attrs["history"] = []
-        new_patch = patch.new(attrs=new_attrs)
+        new_patch = patch.update(attrs=new_attrs)
         assert not new_patch.attrs.history
         # add new patch (w/ no history) to spool, get first patch out.
         spool = dc.spool([new_patch])

tests/test_proc/test_basic.py

@@ -331,7 +331,7 @@ def patch_3d_with_null(self, range_patch_3d):
         nans = [(1, 1, 1), (0, 9, 9)]
         for nan_ind in nans:
             data[nan_ind] = np.NaN
-        patch = range_patch_3d.new(data=data)
+        patch = range_patch_3d.update(data=data)
         return patch
 
     def test_drop_time_any(self, patch_with_null):

tests/test_proc/test_correlate.py

@@ -27,7 +27,7 @@ def corr_patch(self):
         time_axis = patch.dims.index("time")
         data = patch.data
         norm = np.linalg.norm(data, axis=time_axis, keepdims=True)
-        return patch.new(data=data / norm)
+        return patch.update(data=data / norm)
 
     @pytest.fixture(scope="session")
     def ricker_moveout_patch(self):

tests/test_proc/test_proc_coords.py

@@ -42,7 +42,7 @@ def test_data_sorted_correctly(self, wacky_dim_patch):
         for dim, array, ind in zip(dims, array_list, (1, 0)):
             coord = patch.coords.coord_map[dim]
             arg_sort = np.argsort(coord.values)
-            new = patch.new(data=array).sort_coords(dim)
+            new = patch.update(data=array).sort_coords(dim)
             data_along_slice = np.take(new.data, 0, ind)
             assert np.all(np.equal(arg_sort, data_along_slice))
 

tests/test_proc/test_taper.py

@@ -22,7 +22,7 @@ def patch_ones(random_patch):
 def time_tapered_patch(request, patch_ones):
     """Return a tapered trace."""
     # first get a patch with all ones for easy testing
-    patch = patch_ones.new(data=np.ones_like(patch_ones.data))
+    patch = patch_ones.update(data=np.ones_like(patch_ones.data))
     out = taper(patch, time=0.05, window_type=request.param)
     return out
 

tests/test_transform/test_differentiate.py

@@ -74,7 +74,7 @@ def test_all_axis(self, random_patch):
 
     def test_uneven_spacing(self, wacky_dim_patch):
         """Ensure we can diff over uneven dimensions."""
-        patch = wacky_dim_patch.new(data=np.ones_like(wacky_dim_patch.data))
+        patch = wacky_dim_patch.update(data=np.ones_like(wacky_dim_patch.data))
         out = differentiate(patch, "time")
         # very occasionally, numpy outputs a few nan values from grad when
         # coordinate spacing is provided. I am still trying to figure out

tests/test_viz/test_waterfall.py

@@ -40,7 +40,7 @@ def patch_random_start(event_patch_1):
     coords["time"] = time + random_starttime
     attrs["time_min"] = coords["time"].min()
     attrs["time_max"] = coords["time"].max()
-    patch = event_patch_1.new(attrs=attrs, coords=coords)
+    patch = event_patch_1.update(attrs=attrs, coords=coords)
     return patch