Have you ever wanted to run a query on your NumPy array?
Like:
β’ where are the numbers smaller than 0?
β’ How many numbers are positive?
π€
NumPy has the where method for exactly that!
π€©ππΎ
[1 min]β‘οΈ
1/5𧡠#Python
Like:
β’ where are the numbers smaller than 0?
β’ How many numbers are positive?
π€
NumPy has the where method for exactly that!
π€©ππΎ
[1 min]β‘οΈ
1/5𧡠#Python
The where method receives:
β’ condition (a < 0)
β’ Operation if cond is True (x)
β’ The "else" operation (y)
You only need the condition, the rest is optional*
2/5π§΅
β’ condition (a < 0)
β’ Operation if cond is True (x)
β’ The "else" operation (y)
You only need the condition, the rest is optional*
2/5π§΅
The return value has two possibilities:
β’ If only condition is used, returns an array with the coordinates of when the condition is true.
β’ If x and y are used, then it returns the input array with all the changes applied
3/5π§΅
β’ If only condition is used, returns an array with the coordinates of when the condition is true.
β’ If x and y are used, then it returns the input array with all the changes applied
3/5π§΅
For the case with condition only, it would do the same as calling np.asarray(condition).nonzero() which is the preferred way!
It returns a tuple with position of where on the input the condition is True
You can use it to find out how many values were found or index by it
4/5π§΅
It returns a tuple with position of where on the input the condition is True
You can use it to find out how many values were found or index by it
4/5π§΅
π‘: The where method specifically is helping me in many #AdventOfCode challenges as it makes it faster/easier to find special values in matrices!
Have you used it before? Where? ππΎπ
5/5π§΅
Have you used it before? Where? ππΎπ
5/5π§΅
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