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