37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
from pathlib import Path
|
|
import re
|
|
## standard imports
|
|
from IPython.core.display import Markdown as md
|
|
import numpy as np
|
|
import pandas as pd
|
|
from matplotlib import pyplot as plt
|
|
import seaborn as sns
|
|
from tabulate import tabulate
|
|
import bibtexparser
|
|
|
|
sns.set_style("whitegrid")
|
|
|
|
DATA_DIR=Path("./02-data")
|
|
RAW_DATA=DATA_DIR.joinpath("raw")
|
|
WORKING_DATA=DATA_DIR.joinpath("intermediate")
|
|
PROCESSED_DATA=DATA_DIR.joinpath("processed")
|
|
SUPPLEMENTARY_DATA=DATA_DIR.joinpath("supplementary")
|
|
|
|
from src import prep_data
|
|
|
|
# raw database-search results
|
|
bib_sample_raw_db = prep_data.bib_library_from_dir(RAW_DATA)
|
|
# the complete library of sampled (and working) literature
|
|
bib_sample = prep_data.bib_library_from_dir(WORKING_DATA)
|
|
|
|
# load relevant studies
|
|
from src import load_data
|
|
|
|
bib_df = prep_data.observations_with_metadata_df(
|
|
raw_observations = load_data.from_yml(PROCESSED_DATA),
|
|
study_metadata = prep_data.bib_metadata_df(bib_sample),
|
|
country_groups = prep_data.country_groups_df(Path(f"{SUPPLEMENTARY_DATA}/wb-country-groupings.xlsx")),
|
|
)
|
|
raw_observations = None
|
|
zot_df = None
|
|
df_country_groups = None
|