polar | My entry for Christmas Experiments | Graphics library

I know how to apply a function to all columns present in a Pandas-DataFrame. However, I have not figured out yet how to achieve this when using a Polars-DataFrame.

I checked the section from the Polars User Guide devoted to this topic, but I have not find the answer. Here I attach a code snippet with my unsuccessful attempts.

I am inserting data from one table "Tags" from "Recovery" database into another table "Tags" in "R3" database

they all live in my laptop similar SQL Server instance

I have built the insert query and because Recovery..Tags table is around 180M records I decided to break it into smaller sebsets. ( 1 million recs at the time)

Here is my query (Let's call Query A)

What is the difference between Arrow IPC and Feather?

The official documentation says:

Version 2 (V2), the default version, which is exactly represented as the Arrow IPC file format on disk. V2 files support storing all Arrow data types as well as compression with LZ4 or ZSTD. V2 was first made available in Apache Arrow 0.17.0.

While vaex, a pandas alternative, has two different functions, one for Arrow IPC and one for Feather. polars, another pandas alternative, indicate that Arrow IPC and Feather are the same.

I'm unsure if this is possible, but I'm essentially trying to isolate the Arctic circle latitude (60N) in an orthographic map AND maintain the ellipsoid, not have the zoomed in image be a rectangle/square.

Here is what I have:

I've run into a strange issue plotting two ellipses on a single polar plot with matplotlib. Here's my Python code:

I have been executing a sentiment analysis, and have returned the positive and negative outcomes to my pd.DataFrame in the following manner.

However, when I want to split the sentiment column (which consists of Polarity and Subjectivity), I get the following error:

ValueError: Columns must be same length as key

I have tried multiple approaches:

• str.split
• str.extract
• rounding

With the rounding approach I get an error mentioning the float NaN's could not be multiplied. So I suppose that there is a NaN in there somewhere. However, when I look for NaN's I get this answer:

So what I'm trying to do is create a polar chart using plotly. However, it needs to look similar to a pie chart, where each label is given a slice of the circle. Currently the polar chart works fine, if I divide the circle into equal slices. But, when I try to give them a slice corresponding to the weights it doesn't work out too well, as it tends to overlap or leave spaces between each slice. This is mainly due to the Theta.

Can someone please explain where I've gone wrong?

Ratings - Max value is 5, Min value is 1. This is used to determine the length of the slice in the polar chart.

Weights - Max value is 100, Min value is 1. This is used to determine the width of the slice in the polar chart.

Labels - To identify each slice.

I am trying to implement a monitor for VDU(Video display unit) and the way the VDU can be programmed says that sync signals have controllable polarity. This means than according to VDU settings monitor should react on @posedge or @negedge event. Is there any way to pass the type (means posesge or negedge) via configuration data base or do something like this. Instead of write if(truth) @posedge else @negedge. And assertion also needs to be controlled this way but assertion at list designed to take event type as an argument but I am no sure config data base calls are allowed inside interface.

I have an answer to my code question that asks me to round

Part 1: Write a line of code in the cell below that will display the lexicon-based sentiment polarity score for the following sentence: 'Hiking in the mountains is fun and very relaxing.'

Part 2: What is the lexicon-based sentiment polarity score for the sentence 'Hiking in the mountains is fun and very relaxing.' ? Report your answer using three decimals of precision (e.g., 0.321).**

How do I add a rounding function to this in the snippet of code?