I would like to add an additional syntax to Python-Markdown: if n is a positive integer, >>n should expand into <a href=”#post-n”>n</a>. (Double angled brackets (>>) is a conventional syntax for creating links in imageboard forums.) By default, Python-Markdown expands >>n into nested blockquotes: <blockquote><blockquote>n</blockquote></blockquote>. Is there a way create links out of >>n, while preserving the rest of blockquote’s
Tag: python
How can I find the sum of a users input?
Above is a code I have so far. It prints: My goal is for the code to add up the two services and make a total price. My end goal should look like this: Notice how the code added both prices and made a “Total.” Is there any way I can do this? I’m a beginner computer science major, so
How to prevent odeint from giving me solutions that blow up
I’m trying to solve and plot ODE using Scipy’s odeint using different initial conditions. This is done in the code below. Note that for three of the initial conditions (2, 4, and 6), the solutions die out, then the graphs start looking weird for these 3 solutions (in the plot, it’s most notable for ic/N0 = 6, which corresponds to
Azure Batch NodePreparationError trying to fetch Docker image from Azure Container Registry
I’m trying to run an Azure Batch task on an Ubuntu VM with an image pulled from a private Azure Container Registry. The nodes in the pool fail on creation with the following error, whether I pre-fetch or not: Baseline: I have an Azure Subscription with a Resource Group. In the Resource Group is a Container Registry, a Batch Account,
Lookup Values by Corresponding Column Header in Pandas 1.2.0 or newer
The operation pandas.DataFrame.lookup is “Deprecated since version 1.2.0”, and has since invalidated a lot of previous answers. This post attempts to function as a canonical resource for looking up corresponding row col pairs in pandas versions 1.2.0 and newer. Standard LookUp Values With Default Range Index Given the following DataFrame: I would like to be able to lookup the corresponding
How to efficiently do operation on pandas each group
So I have a data frame like this– What I am doing is grouping by id and doing rolling operation on the delay column like below– It is working just fine but I am curious whether .apply on grouped data frame is vectorized or not. Since my dataset is huge, is there a better-vectorized way to do this kind of
How to process files based on their date in Python?
I have two sort of files, xml files and txt files. The files have a date in their name. If the date of the xml file matches the date of a txt file I want to open the txt file do some processing and write the output to a list. After that I want to change the xml file. Multiple
Pandas: AttributeError: ‘float’ object has no attribute ‘MACD’
I would like to compare 2 rows in a pandas dataframe but I always get an Error saying: AttributeError: ‘float’ object has no attribute ‘MACD’. This is the df: Now I want to count on how many times it would buy and sell based on some information in the rows so I’m trying to iterate through it like this: I
Passing list into query in Python
I am trying to execute an SQL Query in python. I have a pandas dataframe which is necessary for passing CompanyId column to my query. I want to use the CompanyId inside the IN operator of SQL. I tried, But no chance. I can create the very same query thanks to the paste function in R like, But I am
Divide multiple columns in pandas
I’m working with the following table: input_test input_test2 input_test3 ip_test ip_test2 ip_test3 ENSG00000000003.15 1 1 1 3 3 3 ENSG00000000457.14 2 2 2 1 1 1 ENSG00000000460.17 2 2 2 3 3 3 ENSG00000001036.14 3 3 3 4 4 4 ENSG00000001167.14 3 3 3 5 5 5 My goal is to make a new column called translational efficiency that divides