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1 vote
0 answers
53 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
237 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 vote
1 answer
79 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
79 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
1 answer
234 views

pandas dataframe of temps and numpy.linalg.lstsq

The problem is this. Forecast model data indicates at 0700Z the 1000 milibar temps will be -4C°. The forecaster knows that is incorrect, so they choose to make a correction. This correction should ...
Jason Leaver's user avatar
5 votes
1 answer
134 views

pandas conditions across rows and columns

Is there a better way to accomplish this? The function determines the Category for each row based on some conditions. Another set of conditions determines the <...
Jason Leaver's user avatar
1 vote
0 answers
56 views

Pandas Numpy Nvector to generate a storm track algorithm

I made previous post here, relating to this topic. The class uses now uses some additional 3rd party libs nvector & pygc. ...
Jason Leaver's user avatar
1 vote
1 answer
142 views

Multiple GeoJSON Feature Collections to a Pandas MultiIndex DataFrame

Edit: The end objective is to monitor the movement of severe weather, determine its vector and make a prediction. I'm working with a GeoJSON ...
Jason Leaver's user avatar
1 vote
1 answer
1k views

Calculate a time weighted average of a feature

I'm trying to calculate a time weighted average of a feature (feat) based on previous rows by date for a given ...
Jossy's user avatar
  • 153
2 votes
2 answers
115 views

Downloading COVID data and uploading graphs

So this is a project I have been working on for the last few weeks. Just started learning Python. Started out with bash scripting and got the itch to learn more. Anyway code fetches covid-19 data from ...
drebrb's user avatar
  • 137
2 votes
1 answer
71 views

Resource reservation system

I'm using a function to determine if resources can be used again or not. This is the numpy array I'm using. ...
Mounir Hafsa's user avatar
1 vote
1 answer
52 views

Pandas : Apply Merge operations from a column

I have a data frame, which contains three columns: ...
Ayodhyankit Paul's user avatar
6 votes
1 answer
133 views

Code optimisation: Converting dataframe to numpy's ndarray

I am working with a dataframe of over 21M rows. ...
arilwan's user avatar
  • 161
2 votes
1 answer
258 views

Get the last activity per user per day in a dataframe

I have many users. Each time a user uses their smartphone it register them. I am determining the last time each user used their smartphone each day. Additionally smartphone usages from 18:00 to 06:00, ...
Snowflake's user avatar
  • 123
3 votes
0 answers
117 views

Analyze Stock Market Bottom Timing without Looping over Data Frame Rows

I am replicating this blog post in Python. The blog post shows that even if you know future stock market bottoms, only buying stocks when the stock market is below future stock market bottoms provides ...
Richard Herron's user avatar

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