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janakiev.com | ||
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tomaugspurger.net
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| | | | | This is the first post in a series where I'll show how I use pandas on real-world datasets. For this post, we'll look at data I collected with Cyclemeter on my daily bike ride to and from school last year. I had to manually start and stop the tracking at the beginning and end of each ride. There may have been times where I forgot to do that, so we'll see if we can find those. | |
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andrewpwheeler.com
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| | | | | Here are some notes (for myself!) about how to format histograms in python using pandas and matplotlib. The defaults are no doubt ugly, but here are some pointers to simple changes to formatting to make them more presentation ready. First, here are the libraries I am going to be using. import pandas as pd import... | |
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anitagraser.com
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| | | | | Earlier this year, I shared my experience using ChatGPT's Data Analyst web interface for analyzing spatiotemporal data in the post "ChatGPT Data Analyst vs. Movement Data". The Data Analyst web interface, while user-friendly, is not equipped to handle all types of spatial data tasks, particularly those involving more complex or large-scale datasets. Additionally, because the... | |
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tomaugspurger.net
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| | | This is a status update on some enhancements for pandas. The goal of the work is to store things that are sufficiently array-like in a pandas DataFrame, even if they aren't a regular NumPy array. Pandas already does this in a few places for some blessed types (like Categorical); we'd like to open that up to anybody. A couple months ago, a client came to Anaconda with a problem: they have a bunch of IP Address data that they'd like to work with in pandas. They didn't just want to make a NumPy array of IP addresses for a few reasons: | ||
