Add pyarrow-based pandas ExtensionArray geometry classes:

NOTICE

@@ -0,0 +1,24 @@
+This work includes components that were originally developed in the fletcher library by
+Uwe L. Korn which is distributed under the following licence:
+
+MIT License
+
+Copyright (c) 2018 Uwe L. Korn
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

setup.py

@@ -2,5 +2,5 @@
 
 setup(name='spatialpandas',
       packages=find_packages(exclude=('tests',)),
-      install_requires=['pandas', 'dask', 'numba', 'numpy'],
+      install_requires=['pandas', 'dask', 'numba', 'numpy', 'pyarrow>=0.15'],
       tests_require=['pytest', 'hypothesis'])

spatialpandas/__init__.py

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+from . import geometry
+from . import spatialindex

spatialpandas/geometry/__init__.py

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+from .polygon import Polygon, PolygonArray, PolygonDtype
+from .multipolygon import MultiPolygon, MultiPolygonArray, MultiPolygonDtype
+from .line import Line, LineArray, LineDtype
+from .multiline import MultiLine, MultiLineArray, MultiLineDtype
+from .multipoint import MultiPoint, MultiPointArray, MultiPointDtype
+from .ring import Ring, RingArray, RingDtype
+from .base import Geometry, GeometryArray, GeometryDtype

spatialpandas/geometry/_algorithms.py

@@ -0,0 +1,243 @@
+from math import sqrt
+
+import numpy as np
+from numba import jit, prange
+
+from spatialpandas.utils import ngjit
+
+
+@ngjit
+def bounds_interleaved(values):
+    """
+    compute bounds
+    """
+    xmin = np.inf
+    ymin = np.inf
+    xmax = -np.inf
+    ymax = -np.inf
+
+    for i in range(0, len(values), 2):
+        x = values[i]
+        if np.isfinite(x):
+            xmin = min(xmin, x)
+            xmax = max(xmax, x)
+
+        y = values[i + 1]
+        if np.isfinite(y):
+            ymin = min(ymin, y)
+            ymax = max(ymax, y)
+
+    return (xmin, ymin, xmax, ymax)
+
+
+@ngjit
+def bounds_interleaved_1d(values, offset):
+    """
+    compute bounds
+    """
+    vmin = np.inf
+    vmax = -np.inf
+
+    for i in range(0, len(values), 2):
+        v = values[i + offset]
+        if np.isfinite(v):
+            vmin = min(vmin, v)
+            vmax = max(vmax, v)
+
+    return (vmin, vmax)
+
+
+@ngjit
+def compute_line_length(values, value_offsets):
+    total_len = 0.0
+    for offset_ind in range(len(value_offsets) - 1):
+        start = value_offsets[offset_ind]
+        stop = value_offsets[offset_ind + 1]
+        x0 = values[start]
+        y0 = values[start + 1]
+
+        for i in range(start + 2, stop, 2):
+            x1 = values[i]
+            y1 = values[i + 1]
+
+            if (np.isfinite(x0) and np.isfinite(y0) and
+                    np.isfinite(x1) and np.isfinite(y1)):
+                total_len += sqrt((x1 - x0) ** 2 + (y1 - y0) ** 2)
+
+            x0 = x1
+            y0 = y1
+
+    return total_len
+
+
+@ngjit
+def compute_area(values, value_offsets):
+    area = 0.0
+
+    for offset_ind in range(len(value_offsets) - 1):
+        start = value_offsets[offset_ind]
+        stop = value_offsets[offset_ind + 1]
+        poly_length = stop - start
+
+        if poly_length < 6:
+            # A degenerate polygon, zero area
+            continue
+
+        for k in range(start, stop - 4, 2):
+            i, j = k + 2, k + 4
+            ix = values[i]
+            jy = values[j + 1]
+            ky = values[k + 1]
+
+            area += ix * (jy - ky)
+
+        # wrap-around term for polygon
+        firstx = values[start]
+        secondy = values[start + 3]
+        lasty = values[stop - 3]
+        area += firstx * (secondy - lasty)
+
+    return area / 2.0
+
+
+@jit(nogil=True, nopython=True, parallel=True)
+def geometry_map_nested1(
+        fn, result, result_offset, values, value_offsets, missing
+):
+    assert len(value_offsets) == 1
+    value_offsets0 = value_offsets[0]
+    n = len(value_offsets0) - 1
+    for i in prange(n):
+        if not missing[i]:
+            result[i + result_offset] = fn(values, value_offsets0[i:i + 2])
+
+
+@jit(nogil=True, nopython=True, parallel=True)
+def geometry_map_nested2(
+        fn, result, result_offset, values, value_offsets, missing
+):
+    assert len(value_offsets) == 2
+    value_offsets0 = value_offsets[0]
+    value_offsets1 = value_offsets[1]
+    n = len(value_offsets0) - 1
+    for i in prange(n):
+        if not missing[i]:
+            start = value_offsets0[i]
+            stop = value_offsets0[i + 1]
+            result[i + result_offset] = fn(values, value_offsets1[start:stop + 1])
+
+
+@jit(nogil=True, nopython=True, parallel=True)
+def geometry_map_nested3(
+        fn, result, result_offset, values, value_offsets, missing
+):
+    assert len(value_offsets) == 3
+    value_offsets0 = value_offsets[0]
+    value_offsets1 = value_offsets[1]
+    value_offsets2 = value_offsets[2]
+    n = len(value_offsets0) - 1
+    for i in prange(n):
+        if not missing[i]:
+            start = value_offsets1[value_offsets0[i]]
+            stop = value_offsets1[value_offsets0[i + 1]]
+            result[i + result_offset] = fn(values, value_offsets2[start:stop + 1])
+
+
+@jit(nopython=True, nogil=True)
+def _lexographic_lt0(a1, a2):
+    """
+    Compare two 1D numpy arrays lexographically
+    Parameters
+    ----------
+    a1: ndarray
+        1D numpy array
+    a2: ndarray
+        1D numpy array
+
+    Returns
+    -------
+    comparison:
+        True if a1 < a2, False otherwise
+    """
+    for e1, e2 in zip(a1, a2):
+        if e1 < e2:
+            return True
+        elif e1 > e2:
+            return False
+    return len(a1) < len(a2)
+
+
+def _lexographic_lt(a1, a2):
+    if a1.dtype != np.object and a1.dtype != np.object:
+        # a1 and a2 primitive
+        return _lexographic_lt0(a1, a2)
+    elif a1.dtype == np.object and a1.dtype == np.object:
+        # a1 and a2 object, process recursively
+        for e1, e2 in zip(a1, a2):
+            if _lexographic_lt(e1, e2):
+                return True
+            elif _lexographic_lt(e2, e1):
+                return False
+        return len(a1) < len(a2)
+    elif a1.dtype != np.object:
+        # a2 is object array, a1 primitive
+        return True
+    else:
+        # a1 is object array, a2 primitive
+        return False
+
+
+@ngjit
+def _extract_isnull_bytemap(bitmap, bitmap_length, bitmap_offset, dst_offset, dst):
+    """
+    Note: Copied from fletcher: See NOTICE for license info
+
+    (internal) write the values of a valid bitmap as bytes to a pre-allocatored
+    isnull bytemap.
+
+    Parameters
+    ----------
+    bitmap: pyarrow.Buffer
+        bitmap where a set bit indicates that a value is valid
+    bitmap_length: int
+        Number of bits to read from the bitmap
+    bitmap_offset: int
+        Number of bits to skip from the beginning of the bitmap.
+    dst_offset: int
+        Number of bytes to skip from the beginning of the output
+    dst: numpy.array(dtype=bool)
+        Pre-allocated numpy array where a byte is set when a value is null
+    """
+    for i in range(bitmap_length):
+        idx = bitmap_offset + i
+        byte_idx = idx // 8
+        bit_mask = 1 << (idx % 8)
+        dst[dst_offset + i] = (bitmap[byte_idx] & bit_mask) == 0
+
+
+def extract_isnull_bytemap(list_array):
+    """
+    Note: Copied from fletcher: See NOTICE for license info
+
+    Extract the valid bitmaps of a chunked array into numpy isnull bytemaps.
+
+    Parameters
+    ----------
+    chunked_array: pyarrow.ChunkedArray
+
+    Returns
+    -------
+    valid_bytemap: numpy.array
+    """
+    result = np.zeros(len(list_array), dtype=bool)
+
+    offset = 0
+    chunk = list_array
+    valid_bitmap = chunk.buffers()[0]
+    if valid_bitmap:
+        buf = memoryview(valid_bitmap)
+        _extract_isnull_bytemap(buf, len(chunk), chunk.offset, offset, result)
+    else:
+        return np.full(len(list_array), False)
+
+    return result