3 examples of 'drop nan from list python' in Python

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def remove_negative(alist):
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    '''
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    Args:
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        alist(list): a list of numbers may includes duplicates and negative
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    Returns:
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        list: a list of numbers may includes only duplicates, no negative and 0
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    '''
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    '''
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    Note:
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        When reading, 'alist' is a reference to the original 'list', and 'list[:]'
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        shallow-copies the list.
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        When assigning, 'alist' (re)binds the name and 'alist[:]' slice-assigns,
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        replacing what was previously in the list.
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    '''
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    # filter seems not an in-place modification
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    # new_list = list(filter(lambda x: x > 0, alist))
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    # following is not an in-place way either
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    # alist = [x for x in alist if x > 0]
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    # finally, this seems like an in-place operate as the id(alist) remains same
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    # correct me if I'm wrong
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    alist[:] = [x for x in alist if x > 0]
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    return alist

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def nan_to_zero(segment: Union[pd.Series, list], nan_list: list) -> Union[pd.Series, list]:
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    if type(segment) == pd.Series:
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        for val in nan_list:
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            segment.values[val] = 0
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    else:
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        for val in nan_list:
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            segment[val] = 0
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    return segment

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def replace_nan(value, default=0):
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    if math.isnan(value):
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        return default
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    return value