Python indexing.check_bool_indexer方法代碼示例

# 需要導入模塊: from pandas.core import indexing [as 別名]
# 或者: from pandas.core.indexing import check_bool_indexer [as 別名]
def _getitem_array(self, key):
        # TODO: dont convert to pandas for array indexing
        if isinstance(key, Series):
            key = key._to_pandas()
        if is_bool_indexer(key):
            if isinstance(key, pandas.Series) and not key.index.equals(self.index):
                warnings.warn(
                    "Boolean Series key will be reindexed to match DataFrame index.",
                    PendingDeprecationWarning,
                    stacklevel=3,
                )
            elif len(key) != len(self.index):
                raise ValueError(
                    "Item wrong length {} instead of {}.".format(
                        len(key), len(self.index)
                    )
                )
            key = check_bool_indexer(self.index, key)
            # We convert to a RangeIndex because getitem_row_array is expecting a list
            # of indices, and RangeIndex will give us the exact indices of each boolean
            # requested.
            key = pandas.RangeIndex(len(self.index))[key]
            if len(key):
                return DataFrame(
                    query_compiler=self._query_compiler.getitem_row_array(key)
                )
            else:
                return DataFrame(columns=self.columns)
        else:
            if any(k not in self.columns for k in key):
                raise KeyError(
                    "{} not index".format(
                        str([k for k in key if k not in self.columns]).replace(",", "")
                    )
                )
            return DataFrame(
                query_compiler=self._query_compiler.getitem_column_array(key)
            ) 

# 需要導入模塊: from pandas.core import indexing [as 別名]
# 或者: from pandas.core.indexing import check_bool_indexer [as 別名]
def _getitem_array(self, key):
        if isinstance(key, Series):
            key = key.to_pandas()
        if is_bool_indexer(key):
            if isinstance(key, pd.Series) and not key.index.equals(self.index):
                warnings.warn(
                    "Boolean Series key will be reindexed to match DataFrame index.",
                    PendingDeprecationWarning,
                    stacklevel=3,
                )
            elif len(key) != len(self.index):
                raise ValueError(
                    f"Item wrong length {len(key)} instead of {len(self.index)}."
                )
            key = check_bool_indexer(self.index, key)
            # We convert to a RangeIndex because getitem_row_array is expecting a list
            # of indices, and RangeIndex will give us the exact indices of each boolean
            # requested.
            key = pd.RangeIndex(len(self.index))[key]
            if len(key):
                return DataFrame(
                    _query_compiler=self._query_compiler.getitem_row_array(key)
                )
            else:
                return DataFrame(columns=self.columns)
        else:
            if any(k not in self.columns for k in key):
                raise KeyError(
                    f"{str([k for k in key if k not in self.columns]).replace(',', '')}"
                    f" not index"
                )
            return DataFrame(
                _query_compiler=self._query_compiler.getitem_column_array(key)
            ) 

# 需要導入模塊: from pandas.core import indexing [as 別名]
# 或者: from pandas.core.indexing import check_bool_indexer [as 別名]
def __getitem__(self, key):
        key = com.apply_if_callable(key, self)
        try:
            result = self.index.get_value(self, key)

            if not is_scalar(result):
                if is_list_like(result) and not isinstance(result, Series):

                    # we need to box if loc of the key isn't scalar here
                    # otherwise have inline ndarray/lists
                    try:
                        if not is_scalar(self.index.get_loc(key)):
                            result = self._constructor(
                                result, index=[key] * len(result),
                                dtype=self.dtype).__finalize__(self)
                    except KeyError:
                        pass
            return result
        except InvalidIndexError:
            pass
        except (KeyError, ValueError):
            if isinstance(key, tuple) and isinstance(self.index, MultiIndex):
                # kludge
                pass
            elif key is Ellipsis:
                return self
            elif com.is_bool_indexer(key):
                pass
            else:

                # we can try to coerce the indexer (or this will raise)
                new_key = self.index._convert_scalar_indexer(key,
                                                             kind='getitem')
                if type(new_key) != type(key):
                    return self.__getitem__(new_key)
                raise

        except Exception:
            raise

        if is_iterator(key):
            key = list(key)

        if com.is_bool_indexer(key):
            key = check_bool_indexer(self.index, key)

        return self._get_with(key) 

# 需要導入模塊: from pandas.core import indexing [as 別名]
# 或者: from pandas.core.indexing import check_bool_indexer [as 別名]
def __setitem__(self, key, value):
        key = com.apply_if_callable(key, self)

        def setitem(key, value):
            try:
                self._set_with_engine(key, value)
                return
            except com.SettingWithCopyError:
                raise
            except (KeyError, ValueError):
                values = self._values
                if (is_integer(key) and
                        not self.index.inferred_type == 'integer'):

                    values[key] = value
                    return
                elif key is Ellipsis:
                    self[:] = value
                    return
                elif com.is_bool_indexer(key):
                    pass
                elif is_timedelta64_dtype(self.dtype):
                    # reassign a null value to iNaT
                    if isna(value):
                        value = iNaT

                        try:
                            self.index._engine.set_value(self._values, key,
                                                         value)
                            return
                        except TypeError:
                            pass

                self.loc[key] = value
                return

            except TypeError as e:
                if (isinstance(key, tuple) and
                        not isinstance(self.index, MultiIndex)):
                    raise ValueError("Can only tuple-index with a MultiIndex")

                # python 3 type errors should be raised
                if _is_unorderable_exception(e):
                    raise IndexError(key)

            if com.is_bool_indexer(key):
                key = check_bool_indexer(self.index, key)
                try:
                    self._where(~key, value, inplace=True)
                    return
                except InvalidIndexError:
                    pass

            self._set_with(key, value)

        # do the setitem
        cacher_needs_updating = self._check_is_chained_assignment_possible()
        setitem(key, value)
        if cacher_needs_updating:
            self._maybe_update_cacher() 

# 需要導入模塊: from pandas.core import indexing [as 別名]
# 或者: from pandas.core.indexing import check_bool_indexer [as 別名]
def __getitem__(self, key):
        key = com._apply_if_callable(key, self)
        try:
            result = self.index.get_value(self, key)

            if not is_scalar(result):
                if is_list_like(result) and not isinstance(result, Series):

                    # we need to box if loc of the key isn't scalar here
                    # otherwise have inline ndarray/lists
                    try:
                        if not is_scalar(self.index.get_loc(key)):
                            result = self._constructor(
                                result, index=[key] * len(result),
                                dtype=self.dtype).__finalize__(self)
                    except KeyError:
                        pass
            return result
        except InvalidIndexError:
            pass
        except (KeyError, ValueError):
            if isinstance(key, tuple) and isinstance(self.index, MultiIndex):
                # kludge
                pass
            elif key is Ellipsis:
                return self
            elif com.is_bool_indexer(key):
                pass
            else:

                # we can try to coerce the indexer (or this will raise)
                new_key = self.index._convert_scalar_indexer(key,
                                                             kind='getitem')
                if type(new_key) != type(key):
                    return self.__getitem__(new_key)
                raise

        except Exception:
            raise

        if is_iterator(key):
            key = list(key)

        if com.is_bool_indexer(key):
            key = check_bool_indexer(self.index, key)

        return self._get_with(key) 

# 需要導入模塊: from pandas.core import indexing [as 別名]
# 或者: from pandas.core.indexing import check_bool_indexer [as 別名]
def __setitem__(self, key, value):
        key = com._apply_if_callable(key, self)

        def setitem(key, value):
            try:
                self._set_with_engine(key, value)
                return
            except com.SettingWithCopyError:
                raise
            except (KeyError, ValueError):
                values = self._values
                if (is_integer(key) and
                        not self.index.inferred_type == 'integer'):

                    values[key] = value
                    return
                elif key is Ellipsis:
                    self[:] = value
                    return
                elif com.is_bool_indexer(key):
                    pass
                elif is_timedelta64_dtype(self.dtype):
                    # reassign a null value to iNaT
                    if isna(value):
                        value = iNaT

                        try:
                            self.index._engine.set_value(self._values, key,
                                                         value)
                            return
                        except TypeError:
                            pass

                self.loc[key] = value
                return

            except TypeError as e:
                if (isinstance(key, tuple) and
                        not isinstance(self.index, MultiIndex)):
                    raise ValueError("Can only tuple-index with a MultiIndex")

                # python 3 type errors should be raised
                if _is_unorderable_exception(e):
                    raise IndexError(key)

            if com.is_bool_indexer(key):
                key = check_bool_indexer(self.index, key)
                try:
                    self._where(~key, value, inplace=True)
                    return
                except InvalidIndexError:
                    pass

            self._set_with(key, value)

        # do the setitem
        cacher_needs_updating = self._check_is_chained_assignment_possible()
        setitem(key, value)
        if cacher_needs_updating:
            self._maybe_update_cacher() 

# 需要導入模塊: from pandas.core import indexing [as 別名]
# 或者: from pandas.core.indexing import check_bool_indexer [as 別名]
def __getitem__(self, key):
        key = com._apply_if_callable(key, self)
        try:
            result = self.index.get_value(self, key)

            if not is_scalar(result):
                if is_list_like(result) and not isinstance(result, Series):

                    # we need to box if we have a non-unique index here
                    # otherwise have inline ndarray/lists
                    if not self.index.is_unique:
                        result = self._constructor(
                            result, index=[key] * len(result),
                            dtype=self.dtype).__finalize__(self)

            return result
        except InvalidIndexError:
            pass
        except (KeyError, ValueError):
            if isinstance(key, tuple) and isinstance(self.index, MultiIndex):
                # kludge
                pass
            elif key is Ellipsis:
                return self
            elif is_bool_indexer(key):
                pass
            else:

                # we can try to coerce the indexer (or this will raise)
                new_key = self.index._convert_scalar_indexer(key,
                                                             kind='getitem')
                if type(new_key) != type(key):
                    return self.__getitem__(new_key)
                raise

        except Exception:
            raise

        if is_iterator(key):
            key = list(key)

        if com.is_bool_indexer(key):
            key = check_bool_indexer(self.index, key)

        return self._get_with(key) 

# 需要導入模塊: from pandas.core import indexing [as 別名]
# 或者: from pandas.core.indexing import check_bool_indexer [as 別名]
def __setitem__(self, key, value):
        key = com._apply_if_callable(key, self)

        def setitem(key, value):
            try:
                self._set_with_engine(key, value)
                return
            except (SettingWithCopyError):
                raise
            except (KeyError, ValueError):
                values = self._values
                if (is_integer(key) and
                        not self.index.inferred_type == 'integer'):

                    values[key] = value
                    return
                elif key is Ellipsis:
                    self[:] = value
                    return
                elif com.is_bool_indexer(key):
                    pass
                elif is_timedelta64_dtype(self.dtype):
                    # reassign a null value to iNaT
                    if isna(value):
                        value = iNaT

                        try:
                            self.index._engine.set_value(self._values, key,
                                                         value)
                            return
                        except TypeError:
                            pass

                self.loc[key] = value
                return

            except TypeError as e:
                if (isinstance(key, tuple) and
                        not isinstance(self.index, MultiIndex)):
                    raise ValueError("Can only tuple-index with a MultiIndex")

                # python 3 type errors should be raised
                if _is_unorderable_exception(e):
                    raise IndexError(key)

            if com.is_bool_indexer(key):
                key = check_bool_indexer(self.index, key)
                try:
                    self._where(~key, value, inplace=True)
                    return
                except InvalidIndexError:
                    pass

            self._set_with(key, value)

        # do the setitem
        cacher_needs_updating = self._check_is_chained_assignment_possible()
        setitem(key, value)
        if cacher_needs_updating:
            self._maybe_update_cacher()