I have a dataframe (df) that looks like:
date A
2001-01-02 1.0022
2001-01-03 1.1033
2001-01-04 1.1496
2001-01-05 1.1033
2015-03-30 126.3700
2015-03-31 124.4300
2015-04-01 124.2500
2015-04-02 124.8900
For the entire time-series I'm trying to divide today's value by yesterdays and log the result using the following:
df["B"] = math.log(df["A"] / df["A"].shift(1))
However I get the following error:
TypeError: cannot convert the series to <class 'float'>
How can I fix this? I've tried to cast as float using:
df["B"] .astype(float)
But can't get anything to work.
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