I want to explain my question with an example. I have a dataset which includes avocado average prices and many features about these prices(I guess avocado prices dataset is very popular, idk). And there is a feature called “region” that shows where avocadoes grew. I wrote this line of code to get to avocados feature which grews on “west”. my
Creating directories with OS module
Hi there I’m trying to create a small tool that will create child directory’s within the Root directory Root Dir(python) And child Dir(DS, WEB, Flask, Learn) stuff like that At starting I have done it statically Here is the Code Then I decided to do it dynamically By using two lists just like before but thing’s don’t go well Here
Is there any way to increase pythons infinity limit?
I am doing https://projecteuler.net/problem=57 where I get the numerator and the denominator and if the numerator is longer than the denominator I add one to the total. However, at one point (above n=805) the numerator and denominator get so large, that python converts them to infinity. Here is my code if you want to test it. Is there any way
Rotating the left the subtrees in an AVL Tree in python
A bit of a newbie to computing science. I have the basics for a binary tree in Python and I was studying some of the applications in an AVL tree: One of the challenges I’m trying to solve is to rotate the left side of a tree in a function that takes the root as a parameter, but I’m getting
Pandas append row based on conditional sum in long form
So, I have some sample data as such: which gives a dataframe in long form like: I want to, for each pair/grouping of location and time, conditionally sum the value column based on the value in the fruit column. Specifically: I want to sum the apple and orange but NOT the banana rows for each grouping. Resulting in the below
How to Install Numpy in PyPy on Windows
I want to install Numpy on PyPy on windows but I cannot. Here is my errors: Answer You don’t have any compiler on your system, so PyPy can’t compile the packages. notice the line error: Microsoft Visual C++ 14.0 is required. Get it with “Build Tools for Visual Studio”: https://visualstudio.microsoft.com/downloads/ Download the compiler with default settings and try again.
Return minimum “sub-DAG” generated from dictionary
I have an input data and some transformation functions t1, t2, t3, t4, t5, t6. Each of them requires some columns as input and outputs some columns. The DAG associated with these transformations is I get as input the columns I want to generate and I should return the sub-DAG required to obtain it (I am not interested only in
Function plotting with matplotlib
I am trying to model an equation that depends on T and parameters xi, mu, sig. I have inferred parameters and spread(standard deviation) of those parameters for different durations (1h, 3h, etc). In the example code the parameters are for 1h duration. I need to create a forloop to create a cloud of zp with the array of xi, mu
How do you extract till the second last element from each sub-list in a nested list?
How do you extract till the second last element from each sub-list in a nested list? The desired output is: Answer You can use the following method to do this: output:
I have a data type problem in the text classification problem
I want to build deep learning classifiers for Kickstarter campaign prediction. I have a problem with the part of the model but I can not solve this. My code: In this point, I am getting ValueError: Failed to find data adapter that can handle input: <class ‘scipy.sparse.csr.csr_matrix’>, (<class ‘list’> containing values of types {“<class ‘str’>”}) I try np.asarray for solving