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Parse a multi-column string into a pandas.DataFrame

I have a fixed-length string column in a pd.DataFrame and I’m looking to parse the columns into more pandas.DataFrame columns.
For example, the data is a fixed width file and I have separated values into columns. I want a pandas.DataFrame that contains separate columns for each value that is not 0x00, so my resulting frame would look something like this:
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RoboCop 2 (1990) 720p BRRip 850MB Ganool
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How to check if a value passed to a function is not null with try and except?

I am trying to check if a value passed to a function is not null.
i know this:
if a:
print(‘I am null’)
else:
print(‘It was not null’)

But how can I do the same thing with the following:
try:
a=functools.partial(my_partial_function,a)
except:
print(‘It was not null’)

Is there some way to do that? I am trying to make a DRY function that does not depend on a variable. The variable should be substituted or in the case of None it should do nothing. I am looking for something like this:
def my_partial_function(a, b=None):
print(“I am null for %s” % a)
if b is not None:
b.do_something()

A:

you just need to use fun
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