Mats Wichmann wrote:
> On 06/20/2018 02:04 PM, Glenn Schultz wrote:
>> All,
>>
>> I have a pandas dataframe and a predict result (numpy array) of a
>> classifier [[0,1],[1,0]]. What I would like to do is as the positive to
>> the pandas dataframe. I use predict[:,1] to slice the postive from
On 06/20/2018 02:04 PM, Glenn Schultz wrote:
> All,
>
> I have a pandas dataframe and a predict result (numpy array) of a
> classifier [[0,1],[1,0]]. What I would like to do is as the positive to
> the pandas dataframe. I use predict[:,1] to slice the postive from
> numpy which gives me a row
Daniel Bosah wrote:
> new_list = [x.encode('latin-1') for x in sorted(paul)]
I don't see why you would need bytes
> search = "(" + b"|".join(new_list).decode() + ")" + "" #re.complie needs
when your next step is to decode it. I'm not sure why it even works as the
default encoding is usually
On 20/06/18 20:32, Daniel Bosah wrote:
> reg = pattern.findall(str(soup))
>
> for i in reg:
> if i in reg and paul: # this loop checks to see if elements are in
> both the regexed parsed list and the list.
No it doesn't. It checks if i is in reg and
if paul is non empty - which it
