filter_dataset#

pharmpy.modeling.filter_dataset(model, expr)[source]#

Filter dataset according to expr and return a model with the filtered dataset.

Example: “DVID == 1” will filter the dataset so that only the rows with DVID = 1 remain.

Parameters:

  • model (Model) – Pharmpy model

  • expr (str) – expression for dataset query

Returns:

Model – Updated Pharmpy model

Example

>>> from pharmpy.modeling import *
>>> model = load_example_model("pheno")
>>> model.dataset
     ID   TIME   AMT  WGT  APGR    DV  FA1  FA2
0     1    0.0  25.0  1.4   7.0   0.0  1.0  1.0
1     1    2.0   0.0  1.4   7.0  17.3  0.0  0.0
2     1   12.5   3.5  1.4   7.0   0.0  1.0  1.0
3     1   24.5   3.5  1.4   7.0   0.0  1.0  1.0
4     1   37.0   3.5  1.4   7.0   0.0  1.0  1.0
..   ..    ...   ...  ...   ...   ...  ...  ...
739  59  108.3   3.0  1.1   6.0   0.0  1.0  1.0
740  59  120.5   3.0  1.1   6.0   0.0  1.0  1.0
741  59  132.3   3.0  1.1   6.0   0.0  1.0  1.0
742  59  144.8   3.0  1.1   6.0   0.0  1.0  1.0
743  59  146.8   0.0  1.1   6.0  40.2  0.0  0.0

[744 rows x 8 columns]
>>> model = filter_dataset(model, 'WGT < 1.4')
>>> model.dataset
     ID   TIME   AMT  WGT  APGR    DV  FA1  FA2
42    4    0.0  18.6  0.9   6.0   0.0  1.0  1.0
43    4    1.8   0.0  0.9   6.0  20.8  0.0  0.0
44    4   12.0   2.3  0.9   6.0   0.0  1.0  1.0
45    4   24.3   2.3  0.9   6.0   0.0  1.0  1.0
46    4   35.8   2.3  0.9   6.0   0.0  1.0  1.0
..   ..    ...   ...  ...   ...   ...  ...  ...
739  59  108.3   3.0  1.1   6.0   0.0  1.0  1.0
740  59  120.5   3.0  1.1   6.0   0.0  1.0  1.0
741  59  132.3   3.0  1.1   6.0   0.0  1.0  1.0
742  59  144.8   3.0  1.1   6.0   0.0  1.0  1.0
743  59  146.8   0.0  1.1   6.0  40.2  0.0  0.0

[400 rows x 8 columns]
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