Question

Assume s and t are Numpy arrays with 100 rows and 300 columns. Consider the following two statements:

x = numpy.where(s > 1000, 100, t)

y = (s + t) > 10

Is x an array or a single value? Tell me what you can about its value or values. Is y an array or a single value? Tell me what you can about its value or values.

Answer 1

code:

    s = numpy.arange(30000).reshape((100, 300))

    print("array s is \n",s)

    t = numpy.arange(30000).reshape((100, 300))

    print("array t is \n",t)

    x = numpy.where(s > 1000, 100, t)

    

    y = (s + t) > 10

    print("value of x is \n",x)

    print("value of y is \n",y)

explanation:

here s and t are arrays with 100 rows and 300 columns.

for showing example i written 30000 values in arrays s and t using numpy.arange(30000)

reshape is used to show 30000 values as 100 rows and 300 columns .

here x=numpy.where(s>1000,100,t)

it print array of values with 100 rows and 300 columns.

here if cell value of s is >1000 then we place 100 otherwise we place t cell value with same row and column index.

y is printing boolean matrix with 100 rows and 300 columns.

sum of s[i][j]+t[i][j]>10 then we put TRUE OTHERWISE FALSE

output:

array s is [[ 300 [600 299] 599] 899] 1 2... 297 298 301 302 597 598 601 602 897 898 [29100 29101 29102 29400 29401 29402 [29700 29701 29702 array t is [[ Г з9е [600 29397 29398 29399] 29697 29698 29699] 29997 29998 29999]] 299] 599] 899] 1 2 297 298 301 302 597 598 601 602 897 898 29397 29398 29399] 29697 29698 29699] [29100 29101 29102 [29400 29401 29402 [29700 29701 29702 ... 29997 29998 2999911 value of x is 297 298 299] 597 598 599] 897 898 899] 1 2 [300 301 302 [600 601 602 [100 100 100 [100 100 100 [100 100 100e value of y is [[False False False ... True True True True True True 100 100 100] 100 100 100] 100 100 100]] rue True True] True True True] True True True ] True TrueTrue] True True True] True TrueTrue] True True True True True True True True True