Drop Keys From Dictionary

[DeaD_EyE]

Try following with pandas:

df = pd.DataFrame(columns=list("abcdefgh"))
df[["a", "b", "c"]]

In the previous question you asked how to get also the keys.
If you want to get also the keys, why not return two dicts?
One dict could hold all ok_values and the other can contain the not_ok_values.

def classify(mapping):
    """
    Return two dicts from mapping.
    The first dict contains the `ok values`
    and the second dict contains the `not ok values`
    """
    ok_mapping = {}
    nok_mapping = {}
    for key, value in mapping.items():
        if 0 < value < 0.1:
            ok_mapping[key] = value
        else:
            nok_mapping[key] = value
    return ok_mapping, nok_mapping


dictOfVals = {1: 0.2, 2: -0.1, 3: 2, 4: 0.1, 5: 0.05}
print(classify(dictOfVals))

Output:
({5: 0.05}, {1: 0.2, 2: -0.1, 3: 2, 4: 0.1})