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9 changes: 7 additions & 2 deletions activitysim/core/skim_dictionary.py
Original file line number Diff line number Diff line change
Expand Up @@ -123,8 +123,13 @@ def map(self, zone_ids):
if self.offset_series is not None:
assert(self.offset_int is None)
assert isinstance(self.offset_series, pd.Series)
# FIXME - faster to use series.map if zone_ids is a series?
offsets = quick_loc_series(zone_ids, self.offset_series).fillna(NOT_IN_SKIM_ZONE_ID).astype(int)

# FIXME - turns out it is faster to use series.map if zone_ids is a series
# offsets = quick_loc_series(zone_ids, self.offset_series).fillna(NOT_IN_SKIM_ZONE_ID).astype(int)

if isinstance(zone_ids, np.ndarray):
zone_ids = pd.Series(zone_ids)
offsets = zone_ids.map(self.offset_series, na_action='ignore').fillna(NOT_IN_SKIM_ZONE_ID).astype(int)

elif self.offset_int:
assert (self.offset_series is None)
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21 changes: 1 addition & 20 deletions activitysim/core/util.py
Original file line number Diff line number Diff line change
Expand Up @@ -243,32 +243,13 @@ def quick_loc_df(loc_list, target_df, attribute=None):
-------
pandas.DataFrame or, if attribbute specified, pandas.Series
"""

left_on = "left"

if isinstance(loc_list, pd.Int64Index):
left_df = pd.DataFrame({left_on: loc_list.values})
elif isinstance(loc_list, pd.Series):
left_df = loc_list.to_frame(name=left_on)
elif isinstance(loc_list, np.ndarray):
left_df = pd.DataFrame({left_on: loc_list})
else:
raise RuntimeError("quick_loc_df loc_list of unexpected type %s" % type(loc_list))

if attribute:
target_df = target_df[[attribute]]

df = pd.merge(left_df,
target_df,
left_on=left_on,
right_index=True,
how="left").set_index(left_on)
df = target_df.reindex(loc_list)

df.index.name = target_df.index.name

# regression test
# assert df.equals(target_df.loc[loc_list])

if attribute:
# return series
return df[attribute]
Expand Down