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"""
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BatteRaquette58/airbnb-stock-price (c) by BatteRaquette58
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BatteRaquette58/airbnb-stock-price is licensed under a
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Creative Commons Attribution-ShareAlike 4.0 International License.
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You should have received a copy of the license along with this
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work. If not, see <https://creativecommons.org/licenses/by-sa/4.0/>.
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"""
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from datasets import load_dataset, Dataset
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from numpy import array
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from datetime import datetime
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from time import mktime
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from re import match
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from pickle import dump
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from huggingface_hub import HfApi
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stock_price = array(load_dataset("nateraw/airbnb-stock-price")["train"])
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stock_price_2 = array(load_dataset("nateraw/airbnb-stock-price-2")["train"])
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datasets = (stock_price, stock_price_2)
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def convert_to_timestamp(date: str) -> float:
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"Converts different date format strings from the datasets into a timestamp."
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datetime_obj = None
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if match("[0-9][0-9]-[0-9][0-9]-[0-9][0-9][0-9][0-9]", date):
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datetime_obj = datetime.strptime(date, "%m-%d-%Y").timetuple()
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elif match("[0-9][0-9]/[0-9][0-9]/[0-9][0-9]", date):
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datetime_obj = datetime.strptime(date, "%m/%d/%y").timetuple()
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else:
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raise ValueError(f"Invalid date {date}")
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return mktime(datetime_obj)
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def data_generator():
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"Generator yielding the new merged dataset rows."
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dates = []
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for stock in datasets:
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for price in stock:
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row = {}
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row["date"] = convert_to_timestamp(price["Date"] if "Date" in price else price["open"])
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dates.append(row["date"])
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row["open"] = price["Open"] if "Open" in price else price["open"]
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row["close_last"] = price["Adj.Close"] if "Adj.Close" in price else price["open"]
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row["volume"] = price["Volume"] if "Volume" in price else price["open"]
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row["high"] = price["High"] if "High" in price else price["open"]
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row["low"] = price["Low"] if "Low" in price else price["open"]
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yield row
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dataset = Dataset.from_generator(data_generator)
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dataset.to_csv("airbnb-stock.csv")
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dataset.to_parquet("airbnb-stock.parquet")
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dataset.to_json("airbnb-stock.json")
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with open("airbnb-stock.pickle", "wb") as file:
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dump(dataset.to_dict(), file)
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dataset.push_to_hub("BatteRaquette58/airbnb-stock")
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api = HfApi()
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for file in ("airbnb-stock.csv", "airbnb-stock.parquet", "airbnb-stock.json", "airbnb-stock.pickle"):
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api.upload_file(
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path_or_fileobj=file,
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path_in_repo=f"data/{file}",
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repo_id="BatteRaquette58/airbnb-stock-price",
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repo_type="dataset",
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)
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