I would like to generate a UUID v4 string starting from the uuid import from the Python standard library. I know I can cast a UUID to str by doing str(uuid.uuid4()), however I am trying to understand what the bytes in that class instance mean. While trying to decode those bytes I see all sorts of errors, either the string
Tag: encoding
Encoding German Character in Jupyter Notebook [closed]
Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. This question was caused by a typo or a problem that can no longer be reproduced. While similar questions may be on-topic here, this one was resolved in a way less likely to help future readers. Closed 8 months ago. Improve this question
How to create a one-hot-encoding for the intermediate class?
Let’s say I have 3 classes: 0, 1, 2 One-hot-encoding an array of labels can be done via pandas as follows: What I’m interested in, is how to get an encoding that can handle an intermediate class, e.g. class in the middle between 2 classes. For example: for class 0.4, resulting encoding should be [0.4, 0.6, 0] for class 1.8,
Two unicode encodings represent 1 cyrillic letter
I have such string in unicode and utf-8 representation: and The desired ouput is “Если повезет то сегодня уже скину”. I have tried all possible encodings but still wasn’t able to get it in complete cyrillic form. The best I got was using windows-1252. And also I’ve noticed that one cyrillic letter in desired string means two unicode encodings. For
UnicodeDecodeError: ‘ascii’ codec can’t decode byte 0xc4 in position 1: ordinal not in range(128)
So, as title of the questions says, I have a problem with encoding/decoding of strings. I am using: python 2.7 | django 1.11 | jinja2 2.8 Basically, I am retrieving some data from data base, I serialize it, set cache on it, then get the cache, deserialize it and rendering it to the template. Problem: I have first names and
How to convert multiple excel files to CSV utf-8 encoding using python
I have 30+ xlsx files in same directory and using python I would like to convert all files to csv with utf-8 encoding, regardless of whatever encoding is present in the file. I am using python’s magic library to get the file names (below code).For conversion, I tried the code mention by SO user Julian here (I used the code
UnicodeDecodeError when try to read data from ‘google.com’ in Python
I’m starting to learn about reading data from a website. But when I try to read data from google.com I encounter this error: Below are my code (extractly as the instruction video, only different website): What is wrong? Thanks in advance Answer Specifing the encoding and error handling should solve the problem: When you are learning web scraping with python
Python fix french accents parsed as =C3=A9
In python i’m stuck with a couple of strings from french language with accents that I can’t convert back to normal, e.g.: Most documentation I read specify to read the files with some encodings=’utf-8′ or so, but here I’m stuck with actual strings. Is there a way to decode the strings or should I build a maximega .replace() function ?
how to fix python pandas encoding issue?
I import csv table into JUPYTER NOTEBOOK, and something wrong is happening when I try to iloc a video views column (К-ть переглядів). I need to format this cell to INT type (using .astype()), but it tells me that there is an error: ValueError: invalid literal for int() with base 10: ‘380xa0891xa0555’ Can anyone please tell me what is wrong?
__init__() got an unexpected keyword argument ‘handle_unknown’
I’m trying to Ordinal Encode my categorical features using sklearn, but I get the error __init__() got an unexpected keyword argument ‘handle_unknown’ when I compile the below code: A sample data to reproduce the error: Could someone please tell me what’s wrong in my code? Answer You are most likely not using an appropriate version of scikit-learn. handle_unknown and unknown_value