text: from distutils.version import LooseVersion
  from functools import partial
  import json
  import warnings
  
  import numpy as np
  import pandas as pd
  from pandas import Series
  from pandas.core.internals import SingleBlockManager
  
  import pyproj
  from shapely.geometry.base import BaseGeometry
  from shapely.ops import transform
  
  from geopandas.base import GeoPandasBase, _delegate_property
  from geopandas.plotting import plot_series
  
  from .array import GeometryDtype, from_shapely
  from .base import is_geometry_type
  
  
  _PYPROJ_VERSION = LooseVersion(pyproj.__version__)
  
  
  _SERIES_WARNING_MSG = """\
      You are passing non-geometry data to the GeoSeries constructor. Currently,
      it falls back to returning a pandas Series. But in the future, we will start
      to raise a TypeError instead."""
  
  
  def _geoseries_constructor_with_fallback(data=None, index=None, crs=None, **kwargs):
      """
      A flexible constructor for GeoSeries._constructor, which needs to be able
      to fall back to a Series (if a certain operation does not produce
      geometries)
      """
      try:
          with warnings.catch_warnings():
              warnings.filterwarnings(
                  "ignore",
                  message=_SERIES_WARNING_MSG,
                  category=FutureWarning,
                  module="geopandas[.*]",
              )
              return GeoSeries(data=data, index=index, crs=crs, **kwargs)
      except TypeError:
          return Series(data=data, index=index, **kwargs)
  
  
  class GeoSeries(GeoPandasBase, Series):
      """
      A Series object designed to store shapely geometry objects.
  
      Parameters
      ----------
      data : array-like, dict, scalar value
          The geometries to store in the GeoSeries.
      index : array-like or Index
          The index for the GeoSeries.
      crs : str, dict (optional)
          Coordinate Reference System of the geometry objects.
      kwargs
          Additional arguments passed to the Series constructor,
           e.g. ``name``.
  
      Examples
      --------
  
      >>> from shapely.geometry import Point
      >>> s = geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)])
      >>> s
      0    POINT (1 1)
      1    POINT (2 2)
      2    POINT (3 3)
      dtype: geometry
  
      See Also
      --------
      GeoDataFrame
      pandas.Series
  
      """
  
      _metadata = ["name", "crs"]
  
      def __new__(cls, data=None, index=None, crs=None, **kwargs):
          # we need to use __new__ because we want to return Series instance
          # instead of GeoSeries instance in case of non-geometry data
          if isinstance(data, SingleBlockManager):
              if isinstance(data.blocks[0].dtype, GeometryDtype):
                  if data.blocks[0].ndim == 2:
                      # bug in pandas 0.23 where in certain indexing operations
                      # (such as .loc) a 2D ExtensionBlock (still with 1D values
                      # is created) which results in other failures
                      # bug in pandas <= 0.25.0 when len(values) == 1
                      #   (https://github.com/pandas-dev/pandas/issues/27785)
                      from pandas.core.internals import ExtensionBlock
  
                      values = data.blocks[0].values
                      block = ExtensionBlock(values, slice(0, len(values), 1), ndim=1)
                      data = SingleBlockManager([block], data.axes[0], fastpath=True)
                  self = super(GeoSeries, cls).__new__(cls)
                  super(GeoSeries, self).__init__(data, index=index, **kwargs)
                  self.crs = crs
                  return self
              warnings.warn(_SERIES_WARNING_MSG, FutureWarning, stacklevel=2)
              return Series(data, index=index, **kwargs)
  
          if isinstance(data, BaseGeometry):
              # fix problem for scalar geometries passed, ensure the list of
              # scalars is of correct length if index is specified
              n = len(index) if index is not None else 1
              data = [data] * n
  
          name = kwargs.pop("name", None)
  
          if not is_geometry_type(data):
              # if data is None and dtype is specified (eg from empty overlay
              # test), specifying dtype raises an error:
              # https://github.com/pandas-dev/pandas/issues/26469
              kwargs.pop("dtype", None)
              # Use Series constructor to handle input data
              s = pd.Series(data, index=index, name=name, **kwargs)
              # prevent trying to convert non-geometry objects
              if s.dtype != object:
                  if s.empty:
                      s = s.astype(object)
                  else:
                      warnings.warn(_SERIES_WARNING_MSG, FutureWarning, stacklevel=2)
                      return s
              # try to convert to GeometryArray, if fails return plain Series
              try:
                  data = from_shapely(s.values)
              except TypeError:
                  warnings.warn(_SERIES_WARNING_MSG, FutureWarning, stacklevel=2)
                  return s
              index = s.index
              name = s.name
  
          self = super(GeoSeries, cls).__new__(cls)
          super(GeoSeries, self).__init__(data, index=index, name=name, **kwargs)
          self.crs = crs
          self._invalidate_sindex()
          return self
  
      def __init__(self, *args, **kwargs):
          # need to overwrite Series init to prevent calling it for GeoSeries
          # (doesn't know crs, all work is already done above)
          pass
  
      def append(self, *args, **kwargs):
          return self._wrapped_pandas_method("append", *args, **kwargs)
  
      @property
      def geometry(self):
          return self
  
      @property
      def x(self):
          """Return the x location of point geometries in a GeoSeries"""
          return _delegate_property("x", self)
  
      @property
      def y(self):
          """Return the y location of point geometries in a GeoSeries"""
          return _delegate_property("y", self)
  
      @classmethod
      def from_file(cls, filename, **kwargs):
          """Alternate constructor to create a ``GeoSeries`` from a file.
  
          Can load a ``GeoSeries`` from a file from any format recognized by
          `fiona`. See http://fiona.readthedocs.io/en/latest/manual.html for details.
  
          Parameters
          ----------
          filename : str
              File path or file handle to read from. Depending on which kwargs
              are included, the content of filename may vary. See
              http://fiona.readthedocs.io/en/latest/README.html#usage for usage details.
          kwargs : key-word arguments
              These arguments are passed to fiona.open, and can be used to
              access multi-layer data, data stored within archives (zip files),
              etc.
          """
  
          from geopandas import GeoDataFrame
  
          df = GeoDataFrame.from_file(filename, **kwargs)
  
          return GeoSeries(df.geometry, crs=df.crs)
  
      @property
      def __geo_interface__(self):
          """Returns a ``GeoSeries`` as a python feature collection.
  
          Implements the `geo_interface`. The returned python data structure
          represents the ``GeoSeries`` as a GeoJSON-like ``FeatureCollection``.
          Note that the features will have an empty ``properties`` dict as they
          don't have associated attributes (geometry only).
          """
          from geopandas import GeoDataFrame
  
          return GeoDataFrame({"geometry": self}).__geo_interface__
  
      def to_file(self, filename, driver="ESRI Shapefile", **kwargs):
          from geopandas import GeoDataFrame
  
          data = GeoDataFrame(
              {"geometry": self, "id": self.index.values}, index=self.index
          )
          data.crs = self.crs
          data.to_file(filename, driver, **kwargs)
  
      #
      # Implement pandas methods
      #
  
      @property
      def _constructor(self):
          return _geoseries_constructor_with_fallback
  
      def _wrapped_pandas_method(self, mtd, *args, **kwargs):
          """Wrap a generic pandas method to ensure it returns a GeoSeries"""
          val = getattr(super(GeoSeries, self), mtd)(*args, **kwargs)
          if type(val) == Series:
              val.__class__ = GeoSeries
              val.crs = self.crs
              val._invalidate_sindex()
          return val
  
      def __getitem__(self, key):
          return self._wrapped_pandas_method("__getitem__", key)
  
      def sort_index(self, *args, **kwargs):
          return self._wrapped_pandas_method("sort_index", *args, **kwargs)
  
      def take(self, *args, **kwargs):
          return self._wrapped_pandas_method("take", *args, **kwargs)
  
      def select(self, *args, **kwargs):
          return self._wrapped_pandas_method("select", *args, **kwargs)
  
      def __finalize__(self, other, method=None, **kwargs):
          """ propagate metadata from other to self """
          # NOTE: backported from pandas master (upcoming v0.13)
          for name in self._metadata:
              object.__setattr__(self, name, getattr(other, name, None))
          return self
  
      def isna(self):
          """
          Detect missing values.
  
          Historically, NA values in a GeoSeries could be represented by
          empty geometric objects, in addition to standard representations
          such as None and np.nan. This behaviour is changed in version 0.6.0,
          and now only actual missing values return True. To detect empty
          geometries, use ``GeoSeries.is_empty`` instead.
  
          Returns
          -------
          A boolean pandas Series of the same size as the GeoSeries,
          True where a value is NA.
  
          See Also
          --------
          GeoSeries.notna : inverse of isna
          GeoSeries.is_empty : detect empty geometries
          """
          if self.is_empty.any():
              warnings.warn(
                  "GeoSeries.isna() previously returned True for both missing (None) "
                  "and empty geometries. Now, it only returns True for missing values. "
                  "Since the calling GeoSeries contains empty geometries, the result "
                  "has changed compared to previous versions of GeoPandas.\n"
                  "Given a GeoSeries 's', you can use 's.is_empty | s.isna()' to get "
                  "back the old behaviour.\n\n"
                  "To further ignore this warning, you can do: \n"
                  "import warnings; warnings.filterwarnings('ignore', 'GeoSeries.isna', "
                  "UserWarning)",
                  UserWarning,
                  stacklevel=2,
              )
  
          return super(GeoSeries, self).isna()
  
      def isnull(self):
          """Alias for `isna` method. See `isna` for more detail."""
          return self.isna()
  
      def notna(self):
          """
          Detect non-missing values.
  
          Historically, NA values in a GeoSeries could be represented by
          empty geometric objects, in addition to standard representations
          such as None and np.nan. This behaviour is changed in version 0.6.0,
          and now only actual missing values return False. To detect empty
          geometries, use ``~GeoSeries.is_empty`` instead.
  
          Returns
          -------
          A boolean pandas Series of the same size as the GeoSeries,
          False where a value is NA.
  
          See Also
          --------
          GeoSeries.isna : inverse of notna
          GeoSeries.is_empty : detect empty geometries
          """
          if self.is_empty.any():
              warnings.warn(
                  "GeoSeries.notna() previously returned False for both missing (None) "
                  "and empty geometries. Now, it only returns False for missing values. "
                  "Since the calling GeoSeries contains empty geometries, the result "
                  "has changed compared to previous versions of GeoPandas.\n"
                  "Given a GeoSeries 's', you can use '~s.is_empty & s.notna()' to get "
                  "back the old behaviour.\n\n"
                  "To further ignore this warning, you can do: \n"
                  "import warnings; warnings.filterwarnings('ignore', "
                  "'GeoSeries.notna', UserWarning)",
                  UserWarning,
                  stacklevel=2,
              )
          return super(GeoSeries, self).notna()
  
      def notnull(self):
          """Alias for `notna` method. See `notna` for more detail."""
          return self.notna()
  
      def fillna(self, value=None, method=None, inplace=False, **kwargs):
          """Fill NA values with a geometry (empty polygon by default).
  
          "method" is currently not implemented for pandas <= 0.12.
          """
          if value is None:
              value = BaseGeometry()
          return super(GeoSeries, self).fillna(
              value=value, method=method, inplace=inplace, **kwargs
          )
  
      def __contains__(self, other):
          """Allow tests of the form "geom in s"
  
          Tests whether a GeoSeries contains a geometry.
  
          Note: This is not the same as the geometric method "contains".
          """
          if isinstance(other, BaseGeometry):
              return np.any(self.geom_equals(other))
          else:
              return False
  
      def plot(self, *args, **kwargs):
          """Generate a plot of the geometries in the ``GeoSeries``.
  
          Wraps the ``plot_series()`` function, and documentation is copied from
          there.
          """
          return plot_series(self, *args, **kwargs)
  
      plot.__doc__ = plot_series.__doc__
  
      #
      # Additional methods
      #
  
      def to_crs(self, crs=None, epsg=None):
          """Returns a ``GeoSeries`` with all geometries transformed to a new
          coordinate reference system.
  
          Transform all geometries in a GeoSeries to a different coordinate
          reference system.  The ``crs`` attribute on the current GeoSeries must
          be set.  Either ``crs`` in string or dictionary form or an EPSG code
          may be specified for output.
  
          This method will transform all points in all objects.  It has no notion
          or projecting entire geometries.  All segments joining points are
          assumed to be lines in the current projection, not geodesics.  Objects
          crossing the dateline (or other projection boundary) will have
          undesirable behavior.
  
          Parameters
          ----------
          crs : dict or str
              Output projection parameters as string or in dictionary form.
          epsg : int
              EPSG code specifying output projection.
          """
          from fiona.crs import from_epsg
  
          if crs is None and epsg is None:
              raise TypeError("Must set either crs or epsg for output.")
  
          if self.crs is None:
              raise ValueError(
                  "Cannot transform naive geometries.  "
                  "Please set a crs on the object first."
              )
  
          if crs is None:
              try:
                  crs = from_epsg(epsg)
              except (TypeError, ValueError):
                  raise ValueError("Invalid epsg: {}".format(epsg))
  
          # skip transformation if the input CRS and output CRS are the exact same
          if _PYPROJ_VERSION >= LooseVersion("2.1.2") and pyproj.CRS.from_user_input(
              self.crs
          ).is_exact_same(pyproj.CRS.from_user_input(crs)):
              return self
  
          if _PYPROJ_VERSION >= LooseVersion("2.2.0"):
              # if availale, use always_xy=True to preserve GIS axis order
              transformer = pyproj.Transformer.from_crs(self.crs, crs, always_xy=True)
              project = transformer.transform
          elif _PYPROJ_VERSION >= LooseVersion("2.1.0"):
              # use transformer for repeated transformations
              transformer = pyproj.Transformer.from_crs(self.crs, crs)
              project = transformer.transform
          else:
              proj_in = pyproj.Proj(self.crs, preserve_units=True)
              proj_out = pyproj.Proj(crs, preserve_units=True)
              project = partial(pyproj.transform, proj_in, proj_out)
          result = self.apply(lambda geom: transform(project, geom))
          result.__class__ = GeoSeries
          result.crs = crs
          result._invalidate_sindex()
          return result
  
      def to_json(self, **kwargs):
          """
          Returns a GeoJSON string representation of the GeoSeries.
  
          Parameters
          ----------
          *kwargs* that will be passed to json.dumps().
          """
          return json.dumps(self.__geo_interface__, **kwargs)
  
      #
      # Implement standard operators for GeoSeries
      #
  
      def __xor__(self, other):
          """Implement ^ operator as for builtin set type"""
          return self.symmetric_difference(other)
  
      def __or__(self, other):
          """Implement | operator as for builtin set type"""
          return self.union(other)
  
      def __and__(self, other):
          """Implement & operator as for builtin set type"""
          return self.intersection(other)
  
      def __sub__(self, other):
          """Implement - operator as for builtin set type"""
          return self.difference(other)
  