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colesbury / scipy python

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1.7.1  ▾
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scipy / io / tests / data / example_3_maskedvals.nc
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dim1dim2noteGTests various cases of value masking (using _FillValue / missing_value)
var1_fillval0
_FillValuenote:Ensures that values close to the _FillValue are not masked,var2_noFillvalnoteYEnsures that variables without a _FillValue or missing_value attribute are read correctly8var3_fillvalAndMissingValue
_FillValue
missing_valuenoteaIf a variable has both _FillValue and missing_value attributes, _FillValue should take precedenceDvar4_missingValue
missing_valuenoteIIf a variable has missing_value but no _FillValue, then use missing_valuePvar5_fillvalNaN
_FillValueønote/Ensures that we can process a _FillValue of NaN\	var6_char
_FillValuebnote<Ensures that we handle missing values in character variablestvar7_2d
_FillValuenotePEnsures that we process missing values correctly for multi-dimensional variablesx.Ûæÿ=ÌÌÍ?ðø@abcb

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