Simple arithmetic
You can use arithmetic operators directly between NumPy arrays+ - * /, but this section discusses an extension where we have functions that can accept any array-like objects such as lists, tuples, etc. and perform arithmetic operations based on conditions.
Conditional arithmetic: means we can define the conditions in which arithmetic operations should occur.
All the discussed arithmetic functions accept onewhereParameters, where we can specify the conditions.
addition
add()The function sums the contents of two arrays and returns the result to a new array.
Example:arr1The value inarr2Among the values:
import numpy as np arr1 = ([10, 11, 12, 13, 14, 15]) arr2 = ([20, 21, 22, 23, 24, 25]) newarr = (arr1, arr2) print(newarr)
The above example will return[30 32 34 36 38 40],This is10+20、11+21、12+22and so on.
Subtraction
subtract()The function subtracts the value in one array from the value in another array and returns the result to a new array.
Example: Fromarr1Subtract the value inarr2Values in:
import numpy as np arr1 = ([10, 20, 30, 40, 50, 60]) arr2 = ([20, 21, 22, 23, 24, 25]) newarr = (arr1, arr2) print(newarr)
The above example will return[-10 -1 8 17 26 35],This is10-20、20-21、30-22The result of etc.
multiplication
multiply()The function multiplies the value in one array with the value in another array and returns the result to a new array.
Example:arr1The value inarr2Multiply the values in:
import numpy as np arr1 = ([10, 20, 30, 40, 50, 60]) arr2 = ([20, 21, 22, 23, 24, 25]) newarr = (arr1, arr2) print(newarr)
The above example will return[200 420 660 920 1200 1500],This is10*20、20*21、30*22The result of etc.
division
divide()The function divides the value in one array by the value in another array and returns the result to a new array.
Example:arr1The value in divided byarr2Values in:
import numpy as np arr1 = ([10, 20, 30, 40, 50, 60]) arr2 = ([3, 5, 10, 8, 2, 33]) newarr = (arr1, arr2) print(newarr)
The above example will return[3.33333333 4. 3. 5. 25. 1.81818182],This is10/3、20/5、30/10The result of etc.
power
power()The function raises the value in the first array to the power of the value in the second array and returns the result to a new array.
Example:arr1The value inarr2The power of the value in:
import numpy as np arr1 = ([10, 20, 30, 40, 50, 60]) arr2 = ([3, 5, 6, 8, 2, 33]) newarr = (arr1, arr2) print(newarr)
The above example will return[1000 3200000 729000000 6553600000000 2500 0],This is10^3、20^5、30^6The result of etc.
Remaining number
mod()andremainder()All functions return the remainder of the value in the first array corresponding to the value in the second array and return the result to a new array.
Example: Return the remainder:
import numpy as np arr1 = ([10, 20, 30, 40, 50, 60]) arr2 = ([3, 7, 9, 8, 2, 33]) newarr = (arr1, arr2) print(newarr)
The above example will return[1 6 3 0 0 27],This is10 divided by 3The remainder of (10%3)、20 divided by 7The remainder of (20%7)、30 divided by 9The remainder of (30%9) wait.
When usedremainder()When function, the result is the same:
Example: Return the remainder:
import numpy as np arr1 = ([10, 20, 30, 40, 50, 60]) arr2 = ([3, 7, 9, 8, 2, 33]) newarr = (arr1, arr2) print(newarr)
Quotation and remainder
divmod()The function returns the quotient and remainder. The return value is two arrays, the first array contains the quotient and the second array contains the remainder.
Example: Return quotient and remainder:
import numpy as np arr1 = ([10, 20, 30, 40, 50, 60]) arr2 = ([3, 7, 9, 8, 2, 33]) newarr = (arr1, arr2) print(newarr)
The above example will return:
(array([3, 2, 3, 5, 25, 1]), array([1, 6, 3, 0, 0, 27]))
The first array represents the quotient, (when you will10Divide by3、20Divided by `7
、30Divide by9` The integer value obtained in isochronous. The second array represents the remainder of the same division.
Absolute value
absolute()andabs()Functions all perform the same absolute value operation on each element, but we should useabsolute()To avoid built-in with Python()Confused.
Example: Return to the merchandise
and remainder:
import numpy as np arr = ([-1, -2, 1, 2, 3, -4]) newarr = (arr) print(newarr)
The above example will return[1 2 1 2 3 4]。
at last
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