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2 votes
1 answer
240 views

Python using generators with Excelwriter - Performance

I'm looking to understand if my code has an obvious blockage or performance pain point that will cause it to operate slower or use more memory than it should. The current Excelfile i am processing ...
sayth's user avatar
  • 131
3 votes
1 answer
290 views

Transferring dataframe columns into dataframe rows

I have the following data: ...
mahmoud988's user avatar
1 vote
1 answer
410 views

Protecting functions from empty DataFrames

Pandas likes to throw cryptic errors when you feed its functions with empty DataFrames saying nothing that would help you to identify the root cause. In order to ...
t3chb0t's user avatar
  • 44.7k
2 votes
2 answers
2k views

Mapping pandas' Series to dataclasses

I've got something really simple this time where I'm mapping pandas' Series to dataclasses with a oneliner helper function (as ...
t3chb0t's user avatar
  • 44.7k
5 votes
1 answer
206 views

constraint solving graduation using HTML Parsing, pandas, and z3

not sure if this project fits on code review, but my code is getting extremely messy, and would love some tips to clean it up! Overview The project is designed to take in an HTML file (a degree audit),...
retep's user avatar
  • 189
1 vote
0 answers
54 views

BoundingBox dataclass implementation with cupy, cudf, and nvector

The dataset I'm working with is rather large so I've been experimenting with cudf and cupy. Here you can find instructions for ...
Jason Leaver's user avatar
2 votes
0 answers
244 views

Do Mann-Kendall and Pettitt tests on each CSV file

Here is a function that will take each text file in a directory, do the Mann-Kendall and Pettitt tests, and then write the output to a text file. Would you please suggest me improve the code to make ...
Geoge Cittal's user avatar
-1 votes
1 answer
78 views

Forecast experimental results based on temperature [closed]

I would really welcome any hints on making this code more concise please. In this example we have some experiment results. For each planned experiment We have predicted results based on 4 temperatures ...
Newbie's user avatar
  • 3
0 votes
2 answers
90 views

Speeding up row insertion to Pandas DataFrames [closed]

I have the below code that seems to be taking a while to run over time. ...
Jack's user avatar
  • 47
2 votes
2 answers
140 views

Regex and pandas to read forecast sky condition string

DataFrame methods to parse the sky condition from a terminal aerodrome forecast. A line in a taf can report zero-eight cloud layers. Cloud layers are required in predominate lines, and optional in ...
Jason Leaver's user avatar
2 votes
1 answer
145 views

Regex pattern matching to generate pandas multi index

Mostly just looking for a review of my regex and implementation of capture groups. its something I've been working to improve. The indexes have somewhat of a pattern to them of being.... ...
Jason Leaver's user avatar
4 votes
2 answers
356 views

Read a file format with mixed CSV and non-CSV content

I have a file format that I need to read which contains blocks of CSV data interspersed by non-CSV (or at least, inconsistent CSV) lines. Other than the very first line of the file (which has comma-...
Ajean's user avatar
  • 263
1 vote
1 answer
87 views

Stacking Z axis on multiple [1440x720] DataFrames (X, Y)

Each datum represents a point in a 1440x720 image of the globe, The values are 0-9. Each new layer is of a higher elevation. I need to structure a DataFrame in a ...
Jason Leaver's user avatar
2 votes
1 answer
96 views

dataframe mean outliers to NaN to derive a higher quality mean for area,speed,azimuth

I have some data that represents the area, speed(meters per second), and azimuth(rads) of a polygon. The objective is to determine the mean for each set of parameters. With that mean value, apply a ...
Jason Leaver's user avatar
3 votes
0 answers
107 views

Scraping housing dataset row by row from Estate Agent's website

I have written web scraping code with selenium with python3 for a dynamic site (it was my first project that is why I started with selenium). In my code I extracted the values and created DataFrame. ...
berkersenol's user avatar

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