uci | Single header implementation of the Universal Chess | iOS library

I'm trying to split the dataset into x and y for training and for some reason I kept getting an attribute errors.

Attempt

I installed Christoph Gohlke's prebuilt wheel Cartopy‑0.20.2‑cp39‑cp39‑win_amd64.whl using pip in an active virtual environment. The environment is using Python 3.9.5. When trying to import Cartopy I get the error message below. This used to work before and now it no longer works and I can't figure out why. Does anyone know what the issue could be or what I'm missing?

In the dataset I'm working on, the Adult dataset, the missing values are indicated with the "?" string, and I want to discard the rows containing missing values.

In the documentation of the method df.dropna() there is no argument that offers the possibility of passing a custom value to interpret as the null/missing value,

I know I can simply solve the problem with something like:

I am trying to perform some analysis on the Online New Popularity dataset from the UCI Open Data Repo here: https://archive.ics.uci.edu/ml/datasets/online+news+popularity

The dataset has a set of 7 boolean attributes that denote the day of the week that the article was published on. For example, the column weekday_is_monday will have the value 1 if the article was published on a Monday and so on. For my analysis, I am trying to merge these fields into a single field that contains the string literal of publishing day.

So I load this dataset then go through and replace each true value with the string literal:

I am working on the Kaggle: Abalone dataset and I am facing a weird problem when plotting a boxplot.

I have to read through pandas the CTG.xls file from the following path: https://archive.ics.uci.edu/ml/machine-learning-databases/00193/.

From this file I have to select the sheet Data. Moreover I have to select from column K to the column AT of the file. So at the end one have a dataset with these column:

["LB","AC","FM","UC","DL","DS","DP","ASTV","MSTV","ALTV" ,"MLTV" ,"Width","Min","Max" ,"Nmax","Nzeros","Mode","Mean" ,"Median" ,"Variance" ,"Tendency" ,"CLASS","NSP"]

How can I do this using the read function in pandas?

I'm trying to install pyaudio in 3 ways but failed:

Solution 1

I am using keras.layers.Normalization for preprocessing a csv dataset returned from make_csv_dataset. The execution freezes at adapt(ds) call. No output for error, it just executes adapt forever. I have tried using pandas for normalization, it completed in seconds.

System info:

• tensorflow 2.7.0
• cuda 11.0
• 3080ti mobile
• i9-10980HK CPU @ 2.40GHz, 3096 Mhz, 8 Core(s), 16 Logical Processor(s) OS Name Microsoft
• Windows 11 Home

Use the answer in the question: simultaneous read and write to child's stdio using boost.process,

I refactored the code and hybridized the new method using the Boost library. I've been successful in making a pipes connection with Stockfish, but this is also where I get errors I've never seen before, not even Google helps.

Here is what I have tried: