Data structures for statistical computing in Python - SciPy Conferences
Data structures for statistical computing in Python - SciPy Conferences
Data structures for statistical computing in Python - SciPy Conferences
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Miss<strong>in</strong>g data handl<strong>in</strong>g<br />
S<strong>in</strong>ce data po<strong>in</strong>ts may be deemed “miss<strong>in</strong>g” or “masked”, hav<strong>in</strong>g tools <strong>for</strong><br />
these makes sense.<br />
>>> (s1 + s2).fill(0)<br />
AAPL 0.0686791008184<br />
BAR 0.358165479807<br />
C 0.16586702944<br />
DB 0.367679872693<br />
F 0.0<br />
GOOG 0.26666583847<br />
IBM 0.0833057542385<br />
SAP 0.0<br />
SCGLY 0.0<br />
VW 0.0<br />
McK<strong>in</strong>ney () Statistical <strong>Data</strong> Structures <strong>in</strong> <strong>Python</strong> <strong>SciPy</strong> 2010 17 / 31
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