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[Bot] Combine APIs and create typings
1 parent 0d48c7a commit ff1af1d

13 files changed

Lines changed: 1496 additions & 187 deletions

‎data/api.json‎

Lines changed: 1084 additions & 150 deletions
Large diffs are not rendered by default.

‎data/typing/numpy.py‎

Lines changed: 46 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1515,6 +1515,7 @@
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pdtrik: numpy.ufunc
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# usage.geopandas: 2
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# usage.hvplot: 1
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# usage.matplotlib: 129
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# usage.networkx: 2
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# usage.pandas: 3
@@ -1685,6 +1686,7 @@
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signedinteger: object
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# usage.dask: 58
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# usage.hvplot: 1
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# usage.koalas: 5
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# usage.matplotlib: 127
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# usage.networkx: 5
@@ -1732,6 +1734,7 @@
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# usage.dask: 68
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# usage.geopandas: 4
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# usage.hvplot: 3
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# usage.koalas: 11
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# usage.matplotlib: 40
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# usage.networkx: 19
@@ -7858,6 +7861,7 @@ def array(_0: List[int], /):
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"""
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usage.dask: 142
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usage.geopandas: 9
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usage.hvplot: 1
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usage.koalas: 6
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usage.matplotlib: 41
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usage.modin: 1
@@ -23284,6 +23288,7 @@ def array(
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"""
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usage.dask: 529
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usage.geopandas: 158
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usage.hvplot: 1
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usage.koalas: 36
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usage.matplotlib: 812
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usage.modin: 47
@@ -58846,6 +58851,7 @@ def linspace(start: numpy.float64, stop: numpy.float64, num: int, endpoint: bool
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@overload
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def linspace(start: int, stop: float, num: int):
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"""
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usage.hvplot: 1
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usage.matplotlib: 17
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usage.scipy: 64
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usage.seaborn: 2
@@ -59276,6 +59282,7 @@ def linspace(
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):
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"""
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usage.dask: 26
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usage.hvplot: 1
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usage.koalas: 10
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usage.matplotlib: 184
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usage.networkx: 7
@@ -62823,10 +62830,22 @@ def nanquantile(
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...
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@overload
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def nanquantile(a: pandas.core.series.Series, q: float):
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"""
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usage.hvplot: 2
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"""
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...
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def nanquantile(
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a: object, q: numpy.ndarray, axis: numpy.ndarray, interpolation: Literal["linear"]
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a: object,
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q: Union[float, numpy.ndarray],
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axis: numpy.ndarray = ...,
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interpolation: Literal["linear"] = ...,
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):
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"""
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usage.hvplot: 2
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usage.xarray: 4
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"""
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...
@@ -84885,6 +84904,7 @@ def __bool__(self, /):
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"""
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usage.dask: 12
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usage.geopandas: 2
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usage.hvplot: 2
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usage.matplotlib: 14
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usage.networkx: 3
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usage.pandas: 66
@@ -85617,6 +85637,7 @@ def __xor__(
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def all(self, /):
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"""
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usage.dask: 1
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usage.hvplot: 1
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usage.pandas: 4
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usage.scipy: 3
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usage.sklearn: 1
@@ -88042,6 +88063,7 @@ class dtype:
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itemsize: object
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# usage.dask: 75
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# usage.hvplot: 3
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# usage.matplotlib: 42
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# usage.networkx: 11
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# usage.pandas: 643
@@ -92656,6 +92678,7 @@ def __gt__(self, _0: numpy.float64, /):
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def __gt__(self, _0: int, /):
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"""
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usage.dask: 6
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usage.hvplot: 1
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usage.matplotlib: 33
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usage.networkx: 5
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usage.prophet: 4
@@ -92759,6 +92782,7 @@ def __gt__(self, _0: numpy.uint64, /):
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def __gt__(self, _0: object, /):
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"""
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usage.dask: 28
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usage.hvplot: 1
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usage.matplotlib: 174
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usage.networkx: 13
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usage.pandas: 15
@@ -93207,6 +93231,7 @@ def __lt__(self, _0: float, /):
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def __lt__(self, _0: int, /):
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"""
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usage.dask: 4
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usage.hvplot: 1
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usage.matplotlib: 45
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usage.networkx: 2
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usage.prophet: 1
@@ -93347,6 +93372,7 @@ def __lt__(self, _0: pandas.core.series.Series, /):
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def __lt__(self, _0: object, /):
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"""
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usage.dask: 23
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usage.hvplot: 1
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usage.matplotlib: 213
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usage.networkx: 15
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usage.pandas: 5
@@ -107470,6 +107496,7 @@ def __contains__(self, _0: object, /):
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def __eq__(self, _0: numpy.ndarray, /):
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"""
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usage.dask: 136
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usage.hvplot: 2
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usage.matplotlib: 46
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usage.networkx: 4
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usage.sample-usage: 2
@@ -108137,6 +108164,7 @@ def __eq__(self, _0: object, /):
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"""
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usage.dask: 194
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usage.geopandas: 11
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usage.hvplot: 2
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usage.matplotlib: 88
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usage.modin: 1
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usage.networkx: 8
@@ -108357,6 +108385,7 @@ def __getitem__(self, _0: slice[None, int, None], /):
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"""
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usage.dask: 35
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usage.geopandas: 1
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usage.hvplot: 1
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usage.koalas: 2
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usage.matplotlib: 53
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usage.modin: 3
@@ -108414,6 +108443,7 @@ def __getitem__(self, _0: slice[int, None, int], /):
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"""
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usage.dask: 19
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usage.geopandas: 1
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usage.hvplot: 1
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usage.matplotlib: 45
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usage.modin: 1
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usage.networkx: 6
@@ -116175,6 +116205,7 @@ def __getitem__(self, _0: object, /):
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"""
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usage.dask: 679
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usage.geopandas: 60
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usage.hvplot: 2
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usage.koalas: 22
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usage.matplotlib: 1402
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usage.modin: 26
@@ -117189,6 +117220,7 @@ def __iter__(self, /):
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"""
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usage.dask: 6
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usage.geopandas: 27
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usage.hvplot: 1
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usage.koalas: 4
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usage.matplotlib: 363
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usage.modin: 14
@@ -132754,6 +132786,7 @@ def cumprod(self, /, *, axis: int = ...):
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def cumsum(self, /):
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"""
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usage.dask: 3
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usage.hvplot: 1
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usage.matplotlib: 2
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usage.modin: 2
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usage.scipy: 6
@@ -132801,6 +132834,7 @@ def cumsum(
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):
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"""
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usage.dask: 7
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usage.hvplot: 1
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usage.matplotlib: 3
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usage.modin: 2
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usage.pandas: 6
@@ -137424,6 +137458,7 @@ def __call__(self, _0: pandas.core.series.Series, /):
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"""
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usage.dask: 295
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usage.geopandas: 2
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usage.hvplot: 1
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usage.koalas: 39
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usage.prophet: 7
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usage.seaborn: 2
@@ -137436,6 +137471,7 @@ def __call__(self, _0: numpy.ndarray, /):
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"""
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usage.dask: 461
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usage.geopandas: 9
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usage.hvplot: 1
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usage.koalas: 1
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usage.matplotlib: 317
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usage.networkx: 25
@@ -137596,6 +137632,7 @@ def __call__(self, _0: int, /):
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"""
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usage.geopandas: 4
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usage.hvplot: 1
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usage.matplotlib: 58
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usage.networkx: 8
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usage.scipy: 585
@@ -140462,6 +140499,13 @@ def __call__(self, _0: numpy.ndarray, _1: numpy.int64, /):
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"""
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...
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@overload
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def __call__(self, _0: holoviews.util.transform.dim, /):
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"""
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usage.hvplot: 1
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"""
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...
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@overload
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def __call__(self, _0: numpy.ndarray, _1: pandas.core.series.Series, /):
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"""
@@ -141056,6 +141100,7 @@ def __call__(
141056141100
"""
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usage.dask: 4506
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usage.geopandas: 23
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usage.hvplot: 4
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usage.koalas: 459
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usage.matplotlib: 781
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usage.modin: 1

‎data/typing/pandas._config.config.py‎

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Original file line numberDiff line numberDiff line change
@@ -1,5 +1,14 @@
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from typing import *
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class DictWrapper:
5+
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# usage.hvplot: 2
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backend: Literal["hvplot", "holoviews"]
8+
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# usage.hvplot: 2
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plotting: object
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class option_context:
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pass

‎data/typing/pandas.core.dtypes.common.py‎

Lines changed: 39 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -451,26 +451,58 @@ def is_categorical_dtype(arr_or_dtype: object):
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@overload
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def is_datetime64_any_dtype(arr_or_dtype: numpy.dtype):
454+
def is_datetime64_any_dtype(arr_or_dtype: pandas.core.series.Series):
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"""
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usage.dask: 1
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usage.hvplot: 2
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"""
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def is_datetime64_any_dtype(arr_or_dtype: pandas.core.series.Series):
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def is_datetime64_any_dtype(arr_or_dtype: pandas.core.indexes.range.RangeIndex):
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"""
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usage.hvplot: 1
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"""
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@overload
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def is_datetime64_any_dtype(arr_or_dtype: pandas.core.indexes.datetimes.DatetimeIndex):
472+
"""
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"""
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@overload
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def is_datetime64_any_dtype(arr_or_dtype: pandas.core.indexes.numeric.Int64Index):
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"""
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"""
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def is_datetime64_any_dtype(arr_or_dtype: numpy.dtype):
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"""
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def is_datetime64_any_dtype(
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arr_or_dtype: Union[
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numpy.dtype,
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pandas.core.series.Series,
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pandas.core.indexes.datetimes.DatetimeIndex,
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pandas.core.indexes.range.RangeIndex,
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pandas.core.indexes.numeric.Int64Index,
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]
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):
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"""
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usage.hvplot: 7
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"""
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@@ -795,6 +827,7 @@ def is_numeric_dtype(arr_or_dtype: numpy.ndarray):
795827
def is_numeric_dtype(arr_or_dtype: pandas.core.series.Series):
796828
"""
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usage.hvplot: 1
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usage.seaborn: 1
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"""
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@@ -883,6 +916,7 @@ def is_numeric_dtype(arr_or_dtype: List[Union[Literal["d", "a", "b", "c"], float
883916
def is_numeric_dtype(arr_or_dtype: object):
884917
"""
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usage.dask: 1
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usage.hvplot: 1
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usage.koalas: 1
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usage.seaborn: 18
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usage.statsmodels: 9

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