# Copyright (c) 2022. Harvard University
#
# Developed by Harvard T.H. Chan School of Public Health
# (HSPH) and Research Software Engineering,
# Faculty of Arts and Sciences, Research Computing (FAS RC)
# Author: Ben Sabath (https://github.com/mbsabath)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
import pandas as pd
DATA_DIR = os.path.dirname(__file__)
[docs]def load_county_codes():
"""
Read in data file listing all counties in the US, with their state and county FIPS codes
:return: pandas data frame
"""
file_path = DATA_DIR + os.sep + "county_fips.csv"
return pd.read_csv(file_path, dtype=str)
[docs]def load_state_codes():
"""
Read in data file listing all states in the US, with their FIPS codes
:return: pandas data frame
"""
file_path = DATA_DIR + os.sep + "state_fips.csv"
return pd.read_csv(file_path, dtype=str)