Convert Bytes to Floating Point Numbers?
I have a binary file that I have to parse and I’m using Python. Is there a way to take 4 bytes and convert it to a single precision floating point number?
Python
Extracting specific columns in numpy array
This is an easy question but say I have an MxN matrix. All I want to do is extract specific columns and store them in another numpy array but I get invalid syntax errors.
Here is the code:
Find the indexes of all regex matches?
I’m parsing strings that could have any number of quoted strings inside them (I’m parsing code, and trying to avoid PLY). I want to find out if a substring is quoted, and I have the substrings index. My initial thought was to use re to find all the matches and then figure out the range of indexes they represent.
Django template can’t loop defaultdict
Indeed, it boils down to the fact that the template language uses the same syntax for dictionary and attribute lookups.
Filter a Python list by predicate
I would want to do something like:
How do you update the levels of a pandas MultiIndex after slicing its DataFrame?
I have a Dataframe with a pandas MultiIndex:
UnicodeEncodeError: ‘ascii’ codec can’t encode character at special name
My python (ver 2.7) script is running well to get some company name from local html files but when it comes to some specific country name, it gives this error “UnicodeEncodeError: ‘ascii’ codec can’t encode character” Specially getting error when this company name comes Company Name: Kühlfix Kälteanlagen Ing.Gerhard Doczekal & Co. KG The link … Read more
How to use custom png image marker with plot?
I would like to utilize customer markers in both scatter and line charts. How can I make custom marker out of a PNG file?
How can I get the domain name of my site within a Django template?
How do I get the domain name of my current site from within a Django template? I’ve tried looking in the tag and filters but nothing there.
Unbalanced data and weighted cross entropy
I’m trying to train a network with an unbalanced data. I have A (198 samples), B (436 samples), C (710 samples), D (272 samples) and I have read about the “weighted_cross_entropy_with_logits” but all the examples I found are for binary classification so I’m not very confident in how to set those weights.