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Add HHS mapping files #609

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Merged
merged 4 commits into from
Dec 9, 2020
Merged

Add HHS mapping files #609

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c5aa2cd
Add HHS mappings
chinandrew Dec 8, 2020
3bac59a
Remove unnecessary cols
chinandrew Dec 8, 2020
c02fcec
update dtype
chinandrew Dec 9, 2020
9b9db3d
Fix dtype for csv import
chinandrew Dec 9, 2020
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54 changes: 54 additions & 0 deletions _delphi_utils_python/data_proc/geomap/geo_data_proc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,7 @@
FIPS_MSA_OUT_FILENAME = "fips_msa_table.csv"
FIPS_HRR_OUT_FILENAME = "fips_hrr_table.csv"
FIPS_ZIP_OUT_FILENAME = "fips_zip_table.csv"
FIPS_HHS_FILENAME = "fips_hhs_table.csv"
FIPS_POPULATION_OUT_FILENAME = "fips_pop.csv"

ZIP_HSA_OUT_FILENAME = "zip_hsa_table.csv"
Expand All @@ -42,6 +43,7 @@
ZIP_MSA_OUT_FILENAME = "zip_msa_table.csv"
ZIP_POPULATION_OUT_FILENAME = "zip_pop.csv"
ZIP_STATE_CODE_OUT_FILENAME = "zip_state_code_table.csv"
ZIP_HHS_FILENAME = "zip_hhs_table.csv"
STATE_OUT_FILENAME = "state_codes_table.csv"
STATE_HHS_OUT_FILENAME = "state_code_hhs_region_number_table.csv"
JHU_FIPS_OUT_FILENAME = "jhu_uid_fips_table.csv"
Expand Down Expand Up @@ -531,6 +533,56 @@ def derive_zip_to_state_code():
)


def derive_fips_hhs_crosswalk():
"""
Builds a crosswalk between FIPS county codes and HHS regions.
"""
if not isfile(join(OUTPUT_DIR, STATE_HHS_OUT_FILENAME)):
create_state_hhs_crosswalk()
if not isfile(join(OUTPUT_DIR, FIPS_POPULATION_OUT_FILENAME)):
create_fips_population_table()

fips_pop = pd.read_csv(
join(OUTPUT_DIR, FIPS_POPULATION_OUT_FILENAME), dtype={"fips": str, "pop": int}
)
state_hhs = pd.read_csv(
join(OUTPUT_DIR, STATE_HHS_OUT_FILENAME),
dtype={"state_code": str, "hhs_region_number": str},
)

fips_pop["state_code"] = fips_pop["fips"].str[:2]
(
fips_pop.merge(state_hhs, on="state_code", how="left")
.drop(columns=["state_code", "pop"])
.to_csv(join(OUTPUT_DIR, FIPS_HHS_FILENAME), index=False)
)


def derive_zip_hhs_crosswalk():
"""
Builds a crosswalk between zip code and HHS regions.
"""
if not isfile(join(OUTPUT_DIR, STATE_HHS_OUT_FILENAME)):
create_state_hhs_crosswalk()
if not isfile(join(OUTPUT_DIR, ZIP_STATE_CODE_OUT_FILENAME)):
derive_zip_to_state_code()

zip_state = pd.read_csv(
join(OUTPUT_DIR, ZIP_STATE_CODE_OUT_FILENAME),
dtype={"zip": str, "pop": int, "state_code": str}
)
state_hhs = pd.read_csv(
join(OUTPUT_DIR, STATE_HHS_OUT_FILENAME),
dtype={"state_code": str, "hhs_region_number": str},
)

(
zip_state.merge(state_hhs, on="state_code", how="left")
.drop(columns=["state_code", "state_id", "state_name"])
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@nmdefries nmdefries Dec 9, 2020

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Update to reflect changed column names on line 576. Should be the same as line 556.

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@chinandrew chinandrew Dec 9, 2020

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In this case, the zip_state file is the one introducing these columns. The other function uses the fips population file (was just copying an different fips -> * example) which only has the population column to drop

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@nmdefries nmdefries Dec 9, 2020

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Got it.

.to_csv(join(OUTPUT_DIR, ZIP_HHS_FILENAME), index=False)
)


if __name__ == "__main__":
create_fips_zip_crosswalk()
create_zip_hsa_hrr_crosswalk()
Expand All @@ -545,3 +597,5 @@ def derive_zip_to_state_code():
derive_zip_to_state_code()
derive_fips_state_crosswalk()
derive_zip_population_table()
derive_fips_hhs_crosswalk()
derive_zip_hhs_crosswalk()
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