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chore(code): Fix setting with copy warning

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This commit is contained in:
Marty Oehme 2024-02-14 16:18:40 +01:00
parent 72e11a67d7
commit 157d437611
Signed by: Marty
GPG key ID: EDBF2ED917B2EF6A
1 changed files with 16 additions and 7 deletions
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23
src/calculate_validities.py
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@ -1,4 +1,5 @@
from typing import cast from typing import cast
from pandas import DataFrame from pandas import DataFrame
@ -7,20 +8,22 @@ def calculate_validities(
) -> DataFrame: ) -> DataFrame:
EXT_COL_NAME: str = "external_validity" EXT_COL_NAME: str = "external_validity"
INT_COL_NAME: str = "internal_validity" INT_COL_NAME: str = "internal_validity"
vd = df[(df["design"] == "quasi-experimental") | (df["design"] == "experimental")] cols = {EXT_COL_NAME: 0, INT_COL_NAME: 0}
vd[EXT_COL_NAME] = 0 vd = df[
vd[INT_COL_NAME] = 0 (df["design"] == "quasi-experimental") | (df["design"] == "experimental")
].copy()
vd.assign(**cols)
vd = cast(DataFrame, vd) vd = cast(DataFrame, vd)
vd[repr_col] = vd[repr_col].fillna("") vd[repr_col] = vd[repr_col].fillna("")
vd[method_col] = vd[method_col].fillna("")
# needs to check national before subnational, subnational before local # needs to check national before subnational, subnational before local
vd.loc[vd[repr_col].str.contains("national"), EXT_COL_NAME] = 5.0 vd.loc[vd[repr_col].str.contains("national"), EXT_COL_NAME] = 5.0
vd.loc[vd[repr_col].str.contains("regional"), EXT_COL_NAME] = 4.0 vd.loc[vd[repr_col].str.contains("regional"), EXT_COL_NAME] = 4.0
vd.loc[vd[repr_col].str.contains("subnational"), EXT_COL_NAME] = 3.0 vd.loc[vd[repr_col].str.contains("subnational"), EXT_COL_NAME] = 3.0
vd.loc[vd[repr_col].str.contains("local"), EXT_COL_NAME] = 2.0 vd.loc[vd[repr_col].str.contains("local"), EXT_COL_NAME] = 2.0
vd[method_col] = vd[method_col].fillna("")
# needs to go lowest to highest in case of multiple mentioned approaches # needs to go lowest to highest in case of multiple mentioned approaches
vd.loc[ vd.loc[
vd[method_col].str.contains("|".join(["OLS", "ordinary.least.square"])), vd[method_col].str.contains("|".join(["OLS", "ordinary.least.square"])),
@ -56,10 +59,12 @@ def calculate_validities(
if __name__ == "__main__": if __name__ == "__main__":
import os
import sys import sys
import load_data
from pathlib import Path
from io import StringIO from io import StringIO
from pathlib import Path
import load_data
if len(sys.argv) == 2: if len(sys.argv) == 2:
df = load_data.from_yml(Path(sys.argv[1])) df = load_data.from_yml(Path(sys.argv[1]))
@ -70,4 +75,8 @@ if __name__ == "__main__":
output = StringIO() output = StringIO()
df.to_csv(output) df.to_csv(output)
output.seek(0) output.seek(0)
print(output.read()) try:
print(output.read())
except BrokenPipeError:
devnull = os.open(os.devnull, os.O_WRONLY)
os.dup2(devnull, sys.stdout.fileno())