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I have a dataset with a column containing strings in multiple languages. I am hoping to remove rows where one column contains a string in any language other than English. I can't seem to find any way to go about this. Does anyone have suggestions for a library or code that might be useful for this purpose?
This seems like a repeat of this, as the root of this question is how to detect non-English languages rather than how to filter a dataset.
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Is there any Hierarchical Agglomerative Clustering implementation (in Python) available that preserves the order of data points? For example, I want the output something like this.
(((seg1, seg2), (seg3, seg4)), seg5)
but not like this
(((seg1, seg5), (seg2, seg3)), seg4)
E.g., Actual output with existing implementation
Expected output (any implementation?)
Vijaya, from what I know, there is only one public library that does order preserving hierarchical clustering (ophac), but that will only return a trivial hierarchy if your data is totally ordered (which is the case with the sections of a book).
There is a theory that may offer a theoretical reply to your answer, but no industry-strength algorithms currently exist: https://arxiv.org/abs/2109.04266. I have an implementation of this theory that can deal with up to 20 elements, so if this is interesting, give me a hint, and I will share the code.
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I´m working on some plots for my Thesis. I want to add some 'reference' to every plot. I realy dont know the english term for that, thats why I cannot just google the documentations, but i mean something like this:
or:
I dont need an answer with code, but maybe someone may share a link of documentation for creating such plots. (I would prefer plotly).
Kind Regards
In case of matplotlib, you can use matplotlib.pyplot.text, something like the following:
...
txt = 'Some caption'
fig.text(.5, .05, txt, ha='center')
You might need to play with the arguments to position it where you need exactly.
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I'm trying to compare frames of a video and to find out the similarity of the frames.
The result should be something like a percentage
Do you have any idea guys?
Thanks
I would use ffmpeg-python to extract both videos as an image sequence and get general video stats, then use Pillow to compare each pixel for each frame individually.
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Is there a way we can read the alphabets from an image, some kind of text recognition method using python.
What I have to do is, read some images to get the text written on them.
Please suggest.
See OCROPUS
EDIT:
Also after seeing the other question here (of which this question is a duplicate), pytesser is much simpler if your image only contains text and no noise (images/illustrations)
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Is anyone aware of a pure python implementation of BLAST alignment? I am trying to study this algorithm...
In fact a complete implementation of the BLAST algorithm is a quite hard. It has a lot of steps and optimizations. What could you do is: take a look of the BLAST Book from O'Reilly, for a very good explanation, take a look of the NCBI Blast code base, that it is big and hard to understand at the first glace, or, I sugest you to take a look at other BLAST implementation or may be, others algorithms like BLAT and Genoogle (http://genoogle.pih.bio.br/)
Try looking into BioPython:
http://biopython.org/
http://github.com/JoaoRodrigues/biopython/tree/GSOC2010