[FIXED] How to filter the negative/positive values from a list in list?

Issue

I just wanted the negative values in my sublist by filtering out all the positive values.

But I am facing the TypeError: 'float' object is not iterable or sometimes

TypeError: 'numpy.float64' object is not iterable. ( when there's array to integrate over ),

How to solve this issue ?

My attempt :-

A = [ [-0.234, -0.435, -0.333, 0.999, 0.432, 0.995], [-0.411, -0.205, -0.505, 0.605, 0.705, 0.505], [-0.468, -0.555, -0.343, 0.977, 0.477, 0.777], [-0.244, -0.478, -0.384, 0.931, 0.405, 0.782] ]



Negative_values = []

for i in A:
    for m in i:
        List_of_Negative_values = list(filter(lambda x: x <= 0, m))
        Negative_values.append(List_of_Negative_values)
        
print('Negative_values',Negative_values)

desired result

A = [ [-0.234, -0.435, -0.333], [-0.411, -0.205, -0.505], [-0.468, -0.555, -0.343], [-0.244, -0.478, -0.384] ]

Solution

try this:

[[i for i in value if i<0]for value in A]

Answered By - to_data