filter_table_by_care_site(
table_to_filter: DataFrame,
care_site_relationship: pd.DataFrame,
care_site_ids: Union[int, List[int]] = None,
care_site_short_names: Union[str, List[str]] = None,
care_site_specialties: Union[str, List[str]] = None,
)
Extend all care_site_ids and care_site_short_names by computing recursively their parents and child.
For each extended lists of care sites, keep those with specialties in care_site_specialties.
Arguments
table_to_filter : DataFrame
care_site_relationship : DataFrame
care_site_ids: Union[int, List[int]]
care_site_short_names: Union[str, List[str]]
care_site_specialties: Union[str, List[str]]
Source code in edsteva/probes/utils/filter_df.py
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227 | def filter_table_by_care_site(
table_to_filter: DataFrame,
care_site_relationship: pd.DataFrame,
care_site_ids: Union[int, List[int]] = None,
care_site_short_names: Union[str, List[str]] = None,
care_site_specialties: Union[str, List[str]] = None,
):
"""
Extend all care_site_ids and care_site_short_names by computing recursively their parents and child.
For each extended lists of care sites, keep those with specialties in care_site_specialties.
Arguments
---------
table_to_filter : DataFrame
care_site_relationship : DataFrame
care_site_ids: Union[int, List[int]]
care_site_short_names: Union[str, List[str]]
care_site_specialties: Union[str, List[str]]
"""
care_site = care_site_relationship[
[
"care_site_id",
"care_site_short_name",
"care_site_level",
"care_site_specialty",
]
]
care_site_filter = []
if care_site_ids:
if not isinstance(care_site_ids, list):
care_site_ids = [care_site_ids]
care_site_filter.append(
care_site[care_site["care_site_id"].isin(care_site_ids)]
)
if care_site_short_names:
if not isinstance(care_site_short_names, list):
care_site_short_names = [care_site_short_names]
care_site_filter.append(
care_site[care_site["care_site_short_name"].isin(care_site_short_names)]
)
if care_site_filter:
care_site_filter = pd.concat(
care_site_filter, ignore_index=True
).drop_duplicates()
extended_care_site_id_to_filter = get_child_and_parent_cs(
care_site_sample=care_site_filter,
care_site_relationship=care_site_relationship,
)
else:
extended_care_site_id_to_filter = care_site.copy()
if care_site_specialties:
if not isinstance(care_site_specialties, list):
care_site_specialties = [care_site_specialties]
extended_care_site_id_to_filter = extended_care_site_id_to_filter[
extended_care_site_id_to_filter["care_site_specialty"].isin(
care_site_specialties
)
]
extended_care_site_id_to_filter = get_child_and_parent_cs(
care_site_sample=extended_care_site_id_to_filter,
care_site_relationship=care_site_relationship,
)
extended_care_site_id_to_filter = list(
extended_care_site_id_to_filter[
(
extended_care_site_id_to_filter.care_site_level.isin(
CARE_SITE_LEVEL_NAMES.values()
)
)
].care_site_id.unique()
)
return table_to_filter[
table_to_filter.care_site_id.isin(extended_care_site_id_to_filter)
]
|