Python pandas.core.internals.concatenate_block_managers() Examples
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Example #1
Source File: concat.py From recruit with Apache License 2.0 | 4 votes |
def get_result(self): # series only if self._is_series: # stack blocks if self.axis == 0: name = com.consensus_name_attr(self.objs) mgr = self.objs[0]._data.concat([x._data for x in self.objs], self.new_axes) cons = _concat._get_series_result_type(mgr, self.objs) return cons(mgr, name=name).__finalize__(self, method='concat') # combine as columns in a frame else: data = dict(zip(range(len(self.objs)), self.objs)) cons = _concat._get_series_result_type(data) index, columns = self.new_axes df = cons(data, index=index) df.columns = columns return df.__finalize__(self, method='concat') # combine block managers else: mgrs_indexers = [] for obj in self.objs: mgr = obj._data indexers = {} for ax, new_labels in enumerate(self.new_axes): if ax == self.axis: # Suppress reindexing on concat axis continue obj_labels = mgr.axes[ax] if not new_labels.equals(obj_labels): indexers[ax] = obj_labels.reindex(new_labels)[1] mgrs_indexers.append((obj._data, indexers)) new_data = concatenate_block_managers( mgrs_indexers, self.new_axes, concat_axis=self.axis, copy=self.copy) if not self.copy: new_data._consolidate_inplace() cons = _concat._get_frame_result_type(new_data, self.objs) return (cons._from_axes(new_data, self.new_axes) .__finalize__(self, method='concat'))
Example #2
Source File: concat.py From vnpy_crypto with MIT License | 4 votes |
def get_result(self): # series only if self._is_series: # stack blocks if self.axis == 0: name = com._consensus_name_attr(self.objs) mgr = self.objs[0]._data.concat([x._data for x in self.objs], self.new_axes) cons = _concat._get_series_result_type(mgr, self.objs) return cons(mgr, name=name).__finalize__(self, method='concat') # combine as columns in a frame else: data = dict(zip(range(len(self.objs)), self.objs)) cons = _concat._get_series_result_type(data) index, columns = self.new_axes df = cons(data, index=index) df.columns = columns return df.__finalize__(self, method='concat') # combine block managers else: mgrs_indexers = [] for obj in self.objs: mgr = obj._data indexers = {} for ax, new_labels in enumerate(self.new_axes): if ax == self.axis: # Suppress reindexing on concat axis continue obj_labels = mgr.axes[ax] if not new_labels.equals(obj_labels): indexers[ax] = obj_labels.reindex(new_labels)[1] mgrs_indexers.append((obj._data, indexers)) new_data = concatenate_block_managers( mgrs_indexers, self.new_axes, concat_axis=self.axis, copy=self.copy) if not self.copy: new_data._consolidate_inplace() cons = _concat._get_frame_result_type(new_data, self.objs) return (cons._from_axes(new_data, self.new_axes) .__finalize__(self, method='concat'))
Example #3
Source File: concat.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 4 votes |
def get_result(self): # series only if self._is_series: # stack blocks if self.axis == 0: name = com.consensus_name_attr(self.objs) mgr = self.objs[0]._data.concat([x._data for x in self.objs], self.new_axes) cons = _concat._get_series_result_type(mgr, self.objs) return cons(mgr, name=name).__finalize__(self, method='concat') # combine as columns in a frame else: data = dict(zip(range(len(self.objs)), self.objs)) cons = _concat._get_series_result_type(data) index, columns = self.new_axes df = cons(data, index=index) df.columns = columns return df.__finalize__(self, method='concat') # combine block managers else: mgrs_indexers = [] for obj in self.objs: mgr = obj._data indexers = {} for ax, new_labels in enumerate(self.new_axes): if ax == self.axis: # Suppress reindexing on concat axis continue obj_labels = mgr.axes[ax] if not new_labels.equals(obj_labels): indexers[ax] = obj_labels.reindex(new_labels)[1] mgrs_indexers.append((obj._data, indexers)) new_data = concatenate_block_managers( mgrs_indexers, self.new_axes, concat_axis=self.axis, copy=self.copy) if not self.copy: new_data._consolidate_inplace() cons = _concat._get_frame_result_type(new_data, self.objs) return (cons._from_axes(new_data, self.new_axes) .__finalize__(self, method='concat'))
Example #4
Source File: concat.py From Splunking-Crime with GNU Affero General Public License v3.0 | 4 votes |
def get_result(self): # series only if self._is_series: # stack blocks if self.axis == 0: name = com._consensus_name_attr(self.objs) mgr = self.objs[0]._data.concat([x._data for x in self.objs], self.new_axes) cons = _concat._get_series_result_type(mgr, self.objs) return cons(mgr, name=name).__finalize__(self, method='concat') # combine as columns in a frame else: data = dict(zip(range(len(self.objs)), self.objs)) cons = _concat._get_series_result_type(data) index, columns = self.new_axes df = cons(data, index=index) df.columns = columns return df.__finalize__(self, method='concat') # combine block managers else: mgrs_indexers = [] for obj in self.objs: mgr = obj._data indexers = {} for ax, new_labels in enumerate(self.new_axes): if ax == self.axis: # Suppress reindexing on concat axis continue obj_labels = mgr.axes[ax] if not new_labels.equals(obj_labels): indexers[ax] = obj_labels.reindex(new_labels)[1] mgrs_indexers.append((obj._data, indexers)) new_data = concatenate_block_managers( mgrs_indexers, self.new_axes, concat_axis=self.axis, copy=self.copy) if not self.copy: new_data._consolidate_inplace() cons = _concat._get_frame_result_type(new_data, self.objs) return (cons._from_axes(new_data, self.new_axes) .__finalize__(self, method='concat'))
Example #5
Source File: concat.py From elasticintel with GNU General Public License v3.0 | 4 votes |
def get_result(self): # series only if self._is_series: # stack blocks if self.axis == 0: name = com._consensus_name_attr(self.objs) mgr = self.objs[0]._data.concat([x._data for x in self.objs], self.new_axes) cons = _concat._get_series_result_type(mgr, self.objs) return cons(mgr, name=name).__finalize__(self, method='concat') # combine as columns in a frame else: data = dict(zip(range(len(self.objs)), self.objs)) cons = _concat._get_series_result_type(data) index, columns = self.new_axes df = cons(data, index=index) df.columns = columns return df.__finalize__(self, method='concat') # combine block managers else: mgrs_indexers = [] for obj in self.objs: mgr = obj._data indexers = {} for ax, new_labels in enumerate(self.new_axes): if ax == self.axis: # Suppress reindexing on concat axis continue obj_labels = mgr.axes[ax] if not new_labels.equals(obj_labels): indexers[ax] = obj_labels.reindex(new_labels)[1] mgrs_indexers.append((obj._data, indexers)) new_data = concatenate_block_managers( mgrs_indexers, self.new_axes, concat_axis=self.axis, copy=self.copy) if not self.copy: new_data._consolidate_inplace() cons = _concat._get_frame_result_type(new_data, self.objs) return (cons._from_axes(new_data, self.new_axes) .__finalize__(self, method='concat'))