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ismissing

Returns True for every element of the input that contains a missing value.

Prototype

	function ismissing (
		data       
	)

	return_val [dimsizes(data)] :  logical

Arguments

data

A variable of any type and dimensionality.

Description

For each element in data, ismissing returns True if the element is a missing value, and False otherwise.

This is useful for filtering missing values.

See Also

set_default_fillvalue, default_fillvalue

Examples

Example 1

If your data can contain all missing values, you may want to check this before doing a calculation on it or trying to plot it: 

  if(all(ismissing(data))) then
    print("Your data is all missing. Cannot create plot.")
  else 
   plot = gsn_csm_contour(wks,data,res)
  end if

Example 2

If you want to print a warning message if your data contains some missing values: 

  if(any(ismissing(data))) then
    print("Your data contains some missing values. Beware.")
  end if

Example 3

Assume you want to calculate the standard deviation of your data, and you also want to know how many data points were used to calculate this quantity:

   x = stddev(data)
   N = num(.not.ismissing(data))

Example 4

The ismissing function is often used in conjunction with the ind function. The code snippet below shows how to take all elements of lon_values longitude array, and create a new array that has the longitude values followed by a "E" or "W" (for "East" or "West"), or "Eq" for the equator: 

  lon_labels = new(dimsizes(lon_values),string)

  lonW_index = ind(-180.lt.lon_values.and.lon_values.lt.  0)
  lonE_index = ind(   0.lt.lon_values.and.lon_values.lt.180)

  if(.not.all(ismissing(lonW_index)))
    lon_labels(lonW_index) = fabs(lon(lonW_index)) + "W"  ; west
  end if

  if(.not.all(ismissing(lonE_index)))
    lon_labels(lonE_index) = lon_values(lonE_index) + "E"  ; east
  end if

; Clean up

  delete(lonW_index)
  delete(lonE_index)
  delete(lon0_index)