Hello,<div><br></div><div>From the masked_values() documentation -&gt; <a href="http://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.masked_values.html">http://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.masked_values.html</a></div>
<div><br></div><div><div>I10 np.ma.masked_values(x, 1.5)</div><div>O10 </div><div>masked_array(data = [ 1.   1.1  2.   1.1  3. ],</div><div>             mask = False,</div><div>       fill_value = 1.5)</div></div><div><br>
</div><div><br></div><div><div>I12 np.ma.masked_values(x, 1.5, shrink=False)</div><div>O12 </div><div>masked_array(data = [ 1.   1.1  2.   1.1  3. ],</div><div>             mask = False,</div><div>       fill_value = 1.5)</div>
</div><div><br></div><div>Shouldn&#39;t setting the &#39;shrink&#39; to False return an array of False values for the mask field? </div><div>If not so, how can I return a set of False values if my masking condition is not met?</div>
<div><br></div><div>Using:</div><div>I16 np.__version__</div><div>O16 &#39;2.0.0.dev-7e202a2&#39;</div><div><br></div><div>Thanks.</div><div><br clear="all"><div><br></div>-- <br>Gökhan<br>
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