mirror of
https://github.com/Steffo99/unimore-bda-3.git
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49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
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from unimore_bda_3.prelude import *
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def load_players(fd: t.IO[str]) -> pd.DataFrame:
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"""
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Import a SteamDB "Lifetime player count history" CSV file into a `pandas.DataFrame`.
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"""
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dataframe = pd.read_csv(fd, sep=",")
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dataframe.rename(inplace=True, columns={
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"DateTime": "Date",
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"Players": "SteamDB · Peak concurrent players",
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"Average Players": "SteamDB · Day average of concurrent players",
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"Flags": "SteamDB · Player count flags",
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})
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dataframe["Date"] = pd.to_datetime(dataframe["Date"])
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dataframe.set_index("Date", inplace=True)
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dataframe = dataframe.groupby(dataframe.index.date).max()
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dataframe.index = pd.to_datetime(dataframe.index)
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return dataframe
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def load_price(fd: t.IO[str]) -> pd.DataFrame:
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"""
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Import a SteamDB "Price history" CSV file into a `pandas.DataFrame`.
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"""
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dataframe = pd.read_csv(fd, sep=",")
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dataframe.rename(inplace=True, columns={
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"DateTime": "Date",
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"Final price": "SteamDB · Steam",
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"Flags": "SteamDB · Price flags",
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})
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dataframe["Date"] = pd.to_datetime(dataframe["Date"])
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dataframe.set_index("Date", inplace=True)
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dataframe = dataframe.groupby(dataframe.index.date).min()
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dataframe.index = pd.to_datetime(dataframe.index)
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return dataframe
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