I have a pandas data frame that looks like:
Col 1
100
$50
200
$250
40
$400
How do I go about filtering the '$' and the non '$' values into their own specific columns?
mask = df.Col.str.startswith("$")
df2["col1"] = df[mask]
df2["col2"] = df[~mask]
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