Dear list, I have the following to Pandas Series: a, b. I want to slice and then subtract. Like this: a[1:4] - b[0:3]. Why does it give me NaN? But it works in Numpy.
Example 1: did not work >>>a = pd.Series([85, 86, 87, 86]) >>>b = pd.Series([15, 72, 2, 3]) >>> a[1:4]-b[0:3] 0 NaN 1 14.0 2 85.0 3 NaN >>> type(a[1:4]) <class 'pandas.core.series.Series'> Example 2: worked If I use values() method, it's converted to a Numpy object. And it works! >>> a.values[1:4]-b.values[0:3] array([71, 15, 84]) >>> type(a.values[1:4]) <class 'numpy.ndarray'> What's the reason that Pandas in example 1 did not work? Isn't Numpy built on top of Pandas? So, why is everything ok in Numpy, but not in Pandas? Thanks in advance!
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