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2 changes: 2 additions & 0 deletions safegraph/delphi_safegraph/constants.py
Original file line number Diff line number Diff line change
Expand Up @@ -15,4 +15,6 @@
GEO_RESOLUTIONS = [
'county',
'state',
'msa',
'hrr'
]
26 changes: 20 additions & 6 deletions safegraph/delphi_safegraph/process.py
Original file line number Diff line number Diff line change
Expand Up @@ -123,17 +123,31 @@ def aggregate(df, signal_names, geo_resolution='county'):
signals, standard errors, and sample sizes.
"""
# Prepare geo resolution
gmpr = GeoMapper()
if geo_resolution == 'county':
geo_transformed_df = df.copy()
geo_transformed_df['geo_id'] = df['county_fips']
elif geo_resolution == 'state':
gmpr = GeoMapper()
geo_transformed_df = gmpr.add_geocode(df,
from_col='county_fips',
from_code='fips',
new_code='state_id',
new_col='geo_id',
dropna=False)
from_col='county_fips',
from_code='fips',
new_code='state_id',
new_col='geo_id',
dropna=False)
elif geo_resolution == 'msa':
geo_transformed_df = gmpr.add_geocode(df,
from_col='county_fips',
from_code='fips',
new_code='msa',
new_col='geo_id',
dropna=False)
elif geo_resolution == 'hrr':
geo_transformed_df = gmpr.add_geocode(df,
from_col='county_fips',
from_code='fips',
new_code='hrr',
new_col='geo_id',
dropna=False)
else:
raise ValueError(
f'`geo_resolution` must be one of {GEO_RESOLUTIONS}.')
Expand Down
26 changes: 26 additions & 0 deletions safegraph/tests/test_process.py
Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,7 @@ def test_aggregate_county(self):
assert np.all(df[f'{SIGNALS[0]}_n'].values > 0)
x = df[f'{SIGNALS[0]}_se'].values
assert np.all(x[~np.isnan(x)] >= 0)
assert df.shape == (1472, 17)

def test_aggregate_state(self):
"""Tests that aggregation at the state level creates non-zero-valued
Expand All @@ -53,6 +54,31 @@ def test_aggregate_state(self):
assert np.all(df[f'{SIGNALS[0]}_n'].values > 0)
x = df[f'{SIGNALS[0]}_se'].values
assert np.all(x[~np.isnan(x)] >= 0)
assert df.shape == (52, 17)

def test_aggregate_msa(self):
"""Tests that aggregation at the state level creates non-zero-valued
signals."""
cbg_df = construct_signals(pd.read_csv('raw_data/sample_raw_data.csv'),
SIGNALS)
df = aggregate(cbg_df, SIGNALS, 'msa')

assert np.all(df[f'{SIGNALS[0]}_n'].values > 0)
x = df[f'{SIGNALS[0]}_se'].values
assert np.all(x[~np.isnan(x)] >= 0)
assert df.shape == (372, 17)

def test_aggregate_hrr(self):
"""Tests that aggregation at the state level creates non-zero-valued
signals."""
cbg_df = construct_signals(pd.read_csv('raw_data/sample_raw_data.csv'),
SIGNALS)
df = aggregate(cbg_df, SIGNALS, 'hrr')

assert np.all(df[f'{SIGNALS[0]}_n'].values > 0)
x = df[f'{SIGNALS[0]}_se'].values
assert np.all(x[~np.isnan(x)] >= 0)
assert df.shape == (306, 17)

def test_files_in_past_week(self):
"""Tests that `files_in_past_week()` finds the file names corresponding
Expand Down