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60 changes: 60 additions & 0 deletions pandas/core/panel.py
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,66 @@
import pandas.core.common as common
import pandas._tseries as _tseries


def _ensure_like_indices(time, panels):
"""
Makes sure that time and panels are conformable
"""
n_time = len(time)
n_panel = len(panels)
u_panels = np.unique(panels) # this sorts!
u_time = np.unique(time)
if len(u_time) == n_time:
time = np.tile(u_time, len(u_panels))
if len(u_panels) == n_panel:
panels = np.repeat(u_panels, len(u_time))
return time, panels

def panel_index(time, panels, names=['time', 'panel']):
"""
Returns a multi-index suitable for a panel-like DataFrame

Parameters
----------
time : array-like
Time index, does not have to repeat
panels : array-like
Panel index, does not have to repeat
names : list, optional
List containing the names of the indices

Returns
-------
multi_index : MultiIndex
Time index is the first level, the panels are the second level.

Examples
--------
>>> years = range(1960,1963)
>>> panels = ['A', 'B', 'C']
>>> panel_idx = panel_index(years, panels)
>>> panel_idx
MultiIndex([(1960, 'A'), (1961, 'A'), (1962, 'A'), (1960, 'B'), (1961, 'B'),
(1962, 'B'), (1960, 'C'), (1961, 'C'), (1962, 'C')], dtype=object)

or

>>> import numpy as np
>>> years = np.repeat(range(1960,1963), 3)
>>> panels = np.tile(['A', 'B', 'C'], 3)
>>> panel_idx = panel_index(years, panels)
>>> panel_idx
MultiIndex([(1960, 'A'), (1960, 'B'), (1960, 'C'), (1961, 'A'), (1961, 'B'),
(1961, 'C'), (1962, 'A'), (1962, 'B'), (1962, 'C')], dtype=object)
"""
time, panels = _ensure_like_indices(time, panels)
time_factor = Factor(time)
panel_factor = Factor(panels)

labels = [time_factor.labels, panel_factor.labels]
levels = [time_factor.levels, panel_factor.levels]
return MultiIndex(levels, labels, sortorder=None, names=names)

class PanelError(Exception):
pass

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