File: C:/Users/fred/anaconda3/Lib/site-packages/scipy/io/tests/data/example_3_maskedvals.nc
CDF
dim1 dim2 note GTests various cases of value masking (using _FillValue / missing_value)
var1_fillval0
_FillValue note :Ensures that values close to the _FillValue are not masked , var2_noFillval note YEnsures that variables without a _FillValue or missing_value attribute are read correctly 8 var3_fillvalAndMissingValue
_FillValue
missing_value note aIf a variable has both _FillValue and missing_value attributes, _FillValue should take precedence D var4_missingValue
missing_value note IIf a variable has missing_value but no _FillValue, then use missing_value P var5_fillvalNaN
_FillValue � note /Ensures that we can process a _FillValue of NaN \ var6_char
_FillValue b note <Ensures that we handle missing values in character variables t var7_2d
_FillValue note PEnsures that we process missing values correctly for multi-dimensional variables x.�� =��� ?� � @ abcb