numpy.nanmin() in Python

numpy.nanmin()function is used when to returns minimum value of an array or along any specific mentioned axis of the array, ignoring any Nan value.

Syntax : numpy.nanmin(arr, axis=None, out=None)
Parameters :
arr :Input array.
axis :Axis along which we want the min value. Otherwise, it will consider arr to be flattened(works on all the axis). axis = 0 means along the column
and axis = 1 means working along the row.
out :Different array in which we want to place the result. The array must have same dimensions as expected output.

Return :Minimum array value(a scalar value if axis is none) or array with minimum value along specified axis.

Code #1 : Working

 # Python Program illustrating  # numpy.nanmin() method       import numpy as np      # 1D array  arr = [1, 2, 7, 0, np.nan] print("arr : ", arr)  print("Min of arr : ", np.amin(arr))    # nanmin ignores NaN values.  print("nanMin of arr : ", np.nanmin(arr))

Output :

arr :  [1, 2, 7, 0, nan]
Min of arr :  nan
nanMin of arr :  0.0

Code #2 :

 # Python Program illustrating  # numpy.nanmin() method     import numpy as np    # 2D array  arr = [[np.nan, 17, 12, 33, 44],          [15, 6, 27, 8, 19]]  print("\narr : \n", arr)        # Minimum of the flattened array  print("\nMin of arr, axis = None : ", np.nanmin(arr))        # Minimum along the first axis  # axis 0 means vertical  print("Min of arr, axis = 0 : ", np.nanmin(arr, axis = 0))        # Minimum along the second axis  # axis 1 means horizontal  print("Min of arr, axis = 1 : ", np.nanmin(arr, axis = 1))

Output :

arr :
[[14, 17, 12, 33, 44], [15, 6, 27, 8, 19]]

Min of arr, axis = None :  6
Min of arr, axis = 0 :  [14  6 12  8 19]
Min of arr, axis = 1 :  [12  6]

Code #3 :

 # Python Program illustrating  # numpy.nanmin() method     import numpy as np    arr1 = np.arange(5)  print("Initial arr1 : ", arr1)     # using out parameter np.nanmin(arr, axis = 0, out = arr1)     print("Changed arr1(having results) : ", arr1)

Output :

Initial arr1 :  [0 1 2 3 4]
Changed arr1(having results) :  [14  6 12  8 19]

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