my_list1 = [30,34,56]
my_list2 = [29,500,43]
How to I check if all values in list are >= 30? my_list1
should work and my_list2
should not.
The only thing I could think of doing was:
boolean = 0
def func(ls):
for k in ls:
if k >= 30:
boolean = boolean + 1
else:
boolean = 0
if boolean > 0:
print 'Continue'
elif boolean = 0:
pass
In hindsight, after dealing with bigger datasets where speed actually matters and utilizing numpy
...I would do this:
>>> my_list1 = [30,34,56]
>>> my_list2 = [29,500,43]
>>> import numpy as np
>>> A_1 = np.array(my_list1)
>>> A_2 = np.array(my_list2)
>>> A_1 >= 30
array([ True, True, True], dtype=bool)
>>> A_2 >= 30
array([False, True, True], dtype=bool)
>>> ((A_1 >= 30).sum() == A_1.size).astype(np.int)
1
>>> ((A_2 >= 30).sum() == A_2.size).astype(np.int)
0
You could also do something like:
len([*filter(lambda x: x >= 30, my_list1)]) > 0
Use the all()
function with a generator expression:
>>> my_list1 = [30, 34, 56]
>>> my_list2 = [29, 500, 43]
>>> all(i >= 30 for i in my_list1)
True
>>> all(i >= 30 for i in my_list2)
False
Note that this tests for greater than or equal to 30, otherwise my_list1
would not pass the test either.
If you wanted to do this in a function, you'd use:
def all_30_or_up(ls):
for i in ls:
if i < 30:
return False
return True
e.g. as soon as you find a value that proves that there is a value below 30, you return False
, and return True
if you found no evidence to the contrary.
Similarly, you can use the any()
function to test if at least 1 value matches the condition.