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is: Trackernumpy.ma.*port: from numpyNumPy PR's that should be ported to NumTypeNumPy PR's that should be ported to NumTypestubs: Enhancement
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The following can a bit of a package-deal, affecting ma[.MaskedArray].{[arg]min,[arg]max,ptp}
- TYP: Type masked array shape, dtype, __int__, and __float__ numpy#28591 - 🚚 port type masked array
shape,dtype,__int__, and__float__#472 - TYP: Type
numpy.ma.minnumpy#28593 - 🚚 portnumpy.ma.min#474 - TYP: Type
ma.maxandma.ptpnumpy#28612 - TYP: Type
ma.MaskedArray.minnumpy#28616 - TYP: Type
ma.MaskedArray.maxandma.MaskedArray.ptpnumpy#28623 - TYP: Fix overload for
ma.MaskedArray.{min,max,ptp}andma.{min,max,ptp}for positionalaxisandoutnumpy#28637 - TYP: Type
MaskedArray.{argmin, argmax}andnp.ma.{argmin, argmax}numpy#28638 - 🚚 portma.arg{min,max}andMaskedArray.arg{min,max}#468 - TYP: Type
MaskedArray.sortnumpy#28664 - TYP: Type
MaskedArray.partitionandMaskedArray.argpartitionnumpy#28677 - TYP: Type
MaskedArray.takeandnp.ma.takenumpy#28680 - TYP: Type
MaskedArray.__{ge,gt,le,lt}__numpy#28689 - TYP: Type
np.ma.{is_masked,ndim,size,ids,iscontiguous}numpy#28715 - TYP: Type
MaskedArray.countandnp.ma.countnumpy#28735 - TYP: Type
MaskedArray.filledandnp.ma.fillednumpy#28742 - TYP: Type
MaskedArray.put,np.ma.put,np.ma.putmasknumpy#28745 - TYP: Type
MaskedArray.compressedandnp.ma.compressednumpy#28766 - TYP: Type
np.ma.allcloseandnp.ma.allequalnumpy#28793 - TYP: Type
np.ma.squeezeandnp.ma.{mask_rows, mask_cols, mask_rowcols}numpy#28794 - TYP: Fix type annotations for
np.ma.nomaskandnp.ma.MaskTypenumpy#28831 - TYP: Type
np.ma.getmasknumpy#28832 - TYP: Type
np.ma.is_masknumpy#28833 - TYP: Type
MaskedArray.nonzeronumpy#28845 - TYP: Use _Array1D alias in
numpy.ma.core.pyinumpy#28847 - TYP: Type
MaskedArray.ravelnumpy#28848 - TYP: Type
MaskedArray.repeat, improve overloads forNDArray.repeat,generic.repeat, andnp.repeatnumpy#28849 - TYP: Type
MaskedArray.swapaxesnumpy#28850 - TYP: Type
MaskedArray.{__setmask__,mask,harden_mask,soften_mask,hardmask,unshare_mask,sharedmask,shrink_mask}numpy#28867 - TYP: Type
MaskedArray.{imag, real, baseclass, mT}numpy#28868 - TYP: Type
MaskedArray.allandMaskedArray.anynumpy#28880 - TYP: Test
MaskedArray.transposeandMaskedArray.T, remove unnecessary annotations numpy#28905 - MAINT: Remove outdated
MaskedArray.__div__andMaskedArray.__idiv__numpy#28927 - TYP: Type
MaskedArray.__{iadd,isub,imul,itruediv,ifloordiv,ipow}__numpy#28986 - TYP: Type
MaskedArray.__{add,radd,sub,rsub}__numpy#29012 - TYP: Type
MaskedArray.__{mul,rmul}__numpy#29265 - TYP: Add overloads for
MaskedArray.__{div,rdiv,floordiv,rfloordiv}__numpy#29271 - TYP: Add type annotations for
MaskedArray.__{pow,rpow}__numpy#29277 - TYP: Type
MaskedArray.{trace,round,cumsum,cumprod}numpy#29307 - TYP: Type
MaskedArray.{sum,std,var,mean,prod}numpy#29381 - TYP: Type
MaskedArray.viewnumpy#29383 - TYP: Type
MaskedArray.resize, wrapNoReturntests in functions numpy#29401 - TYP: Type
MaskedArray.reshapenumpy#29404 - TYP: Type
MaskedArray.__deepcopy__andMaskedArray.argsortnumpy#29418 - TYP: Type
MaskedArray.flatnumpy#29466 - TYP: Type
MaskedArray.recordmasknumpy#29467 - TYP: Type
MaskedArray.fill_valuenumpy#29468 - TYP: Remove
MaskedArray.__reduce__, and punt onMaskedArray.__{eq,ne}__numpy#29470 - TYP: Type
MaskedArray.__getitem__numpy#29472 - TYP: Type
MaskedArray.__setitem__numpy#29478 - TYP: Type
MaskedArray.compressnumpy#29480 - TYP: Type
MaskedArray.__array_finalize__andMaskedArray.__array_wrap__numpy#29483 - TYP: Type
MaskedIteratornumpy#29526 - TYP: Type default values in stubs in
numpy/manumpy#29531
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is: Trackernumpy.ma.*port: from numpyNumPy PR's that should be ported to NumTypeNumPy PR's that should be ported to NumTypestubs: Enhancement