Hong kong

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from trase.tools import sps

df = sps.concat(
    sps.get_pandas_df_once(
        f"brazil/trade/mdic/disaggregated/brazil_mdic_disaggregated_{y}_beef.csv",
        dtype=str,
    ).assign(year=y)
    for y in [2019, 2020]
).astype({"vol": float})
df = df[df["country_of_destination.name"] == "CHINA (HONG KONG)"]

data = df.groupby(["year", "hs4", "success"])["vol"].sum().reset_index()

import plotly.express as px

px.bar(
    data,
    x="hs4",
    y="vol",
    color="success",
    facet_row="year",
    color_discrete_map={"True": "green", "False": "red"},
    title="Success or failure of volume to Hong Kong",
)

sps.print_report_by_attribute(
    df.assign(m=df["message"].str.slice(0, 50)), "vol", ["year", "hs4", "success", "m"]
)