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21 lines
635 B
Python
21 lines
635 B
Python
from unimore_bda_3.prelude import *
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def load(fd: t.IO[str], query_name: str) -> pd.DataFrame:
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"""
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Import a Google Trends CSV file into a :class:`pandas.DataFrame`.
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"""
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dataframe = pd.read_csv(fd, sep=",", header=1)
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dataframe.rename(inplace=True, columns={
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"Mese": "Date",
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f"{query_name}: (Tutto il mondo)": "Google Trends · Score",
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})
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dataframe["Date"] = pd.to_datetime(dataframe["Date"])
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dataframe["Google Trends · Score"] = dataframe["Google Trends · Score"].map(lambda x: int(x) if x != "< 1" else 0) / 100
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dataframe.set_index("Date", inplace=True)
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return dataframe
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