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from datasets import load_dataset |
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import streamlit as st |
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import pandas as pd |
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import os |
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token = os.getenv('HF_TOKEN') |
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data_files = { |
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"Part_A": "ELG_Busan_PoC_per_CA_site_0226_0407.csv", |
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"Part_B": "ELG_Busan_PoC_per_CA_site_0408_0519.csv" |
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} |
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@st.cache_data(show_spinner=False) |
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def load_data(): |
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dataset = load_dataset('skt-asap/busan-poc-dataset', data_files=data_files, token=token) |
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df = dataset['Part_A'].to_pandas() |
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df.fillna(0, inplace=True) |
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df.drop(columns=['Unnamed: 0'], inplace=True) |
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df['ru_svc_lat_val'] = df['ru_svc_lat_val'].astype(float) |
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df['ru_svc_lng_val'] = df['ru_svc_lng_val'].astype(float) |
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df_map = df.drop_duplicates(subset=['ru_svc_lat_val', 'ru_svc_lng_val']) |
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return df, df_map |
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