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Update chapter06.qmd #14

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4 changes: 2 additions & 2 deletions content/chapter06.qmd
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Original file line number Diff line number Diff line change
Expand Up @@ -194,15 +194,15 @@ d2 = pd.read_csv(url)
# Option 1: clean with direct assignment
# Note that when creating a new column,
# you have to use df["col"] rather than df.col
d2["rep2"] = d2.rep.str.replace("[^0-9\\.]", "")
d2["rep2"] = d2.rep.str.replace("[^0-9\\.]", "", regex=True)
d2["rep2"] = pd.to_numeric(d2.rep2, errors='coerce')
d2["Support2"] = d2.Support.fillna(d2.Support.mean())

# Alternatively, clean with .assign
# Note the need to use an anonymous function
# (lambda) to chain calculations
cleaned = d2.assign(
rep2=d2.rep.str.replace("[^0-9\\.]", ""),
rep2=d2.rep.str.replace("[^0-9\\.]", "", regex=True),
rep3=lambda d2: pd.to_numeric(d2.rep2, errors='coerce'),
Support2=d2.Support.fillna(d2.Support.mean()),
)
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