serum | Dependency injection framework for Python | Dependency Injection library
kandi X-RAY | serum Summary
kandi X-RAY | serum Summary
serum is a fresh take on Dependency Injection in Python 3. serum is pure python and has no dependencies.
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Top functions reviewed by kandi - BETA
- Increment the version number
- Increment the minor version
- Commit version
- Read the contents of the file
- Write version to file
- Run git push
- Tag the given version
- Parse command line arguments
- Get the contents of the README md file
- Read the content of the file
serum Key Features
serum Examples and Code Snippets
Community Discussions
Trending Discussions on serum
QUESTION
I have supplier name together with product name in one cell as a string.
Each cell has a word that's all uppercase (sometimes with a digit or a number).
I need to extract only that UPPERCASE supplier name to a new cell.
I've tried to create User Defined Function like this one, but it's not working.
It's returning #NAME? error.
ANSWER
Answered 2021-Jun-08 at 16:05Instead of a custom made UDF, try to utilize what Excel does offer through build-in functionality, for examle FILTERXML():
Formula used in B1:
QUESTION
from bs4 import BeautifulSoup
import pandas as pd
import requests
import time
from datetime import datetime
def extract_source(url):
agent = {"User-Agent":"Mozilla/5.0"}
source=requests.get(url, headers=agent).text
return source
html_text = extract_source('https://www.mpbio.com/us/life-sciences/biochemicals/amino-acids')
soup = BeautifulSoup(html_text, 'lxml')
for a in soup.find_all('a', class_ = 'button button--link button--fluid catalog-list-item__actions-primary-button', href=True):
# print ("Found the URL:", a['href'])
urlof = a['href']
html_text = extract_source(urlof)
soup = BeautifulSoup(html_text, 'lxml')
table_rows = soup.find_all('tr')
first_columns = []
third_columns = []
for row in table_rows:
# for row in table_rows[1:]:
first_columns.append(row.findAll('td')[0])
third_columns.append(row.findAll('td')[1])
for first, third in zip(first_columns, third_columns):
print(first.text, third.text)
ANSWER
Answered 2021-Apr-11 at 17:17I made small modification to your code. Instead of printing the data, I created a dictionary and added it to list. Then I used this list to create a DataFrame:
QUESTION
Im using the below code to extract sizes from excel cells, which has 7 different patterns..
The below code is for extracting OZ sizes however, i need to do the same ml and gram (g). Hence, the way i wrote the code will be very lengthy.
Value Result Size:0.028 oz x 5 0.028 oz x 5 Size:6x0.04 oz + 30 oz 6 x0.04 oz Size:8 x 0.03 oz 8 x 0.03 oz Size:2 x 0.07 oz 2 x 0.07 oz Size:5 x 0.028 oz 5 x 0.028 oz Size:0.028 ozx5 0.028 ozx5 Size:0.028 oz 0.028 oz Size:30.00 oz 30 .00 oz Size:2 * 0.07 oz 2 * 0.07 oz Size:0.028 oz * 5 0.028 oz * 5 Size:2*0.07 oz 2 *0.07 oz Size:0.028 oz*5 0.028 oz*5 Size:3.00 oz 3 .00 oz Size:3.00 oz 3 .00 oz Color:01UNIVERSA#||#Size:1.00 oz 1 .00 oz Lancôme Effacil Eye Makeup Remover, 4.2 Fl. Oz. 0 . oz Confidence In A Cleanser, 1 fl. oz, Travel Size 1 fl. oz ...ANSWER
Answered 2021-Apr-03 at 12:09It is not too difficult to develop a single regex that works for all of your examples.
I suggest:
QUESTION
Im making a scatterplot which shows a value plotted against the date since symptom onset. These patients are categorised based on disease severity, and i wanted to show how the values change over time in each severity category. I have coloured the dots based on severity score, but i prefer to use shape =21 so i can have a border. I also draw a line to see the trend, and i want that coloured in the same way, however, this has added another legend and it looks complicated. This issue doesnt happen if use a different shape that isnt filled, because scale_colour_manual can be used for both the lines and the dots, but i dont think it looks as nice. Any idea how i can fix this?
...ANSWER
Answered 2021-Mar-21 at 21:53As per this answer, you need to use identical name and labels values for both fill and colour scale.
QUESTION
I would like to do the following query by passing the value of concepts as a parameter value to the UDF has_any_concept.
The following is in the environment
...ANSWER
Answered 2021-Mar-09 at 05:06If you're using python 3.6+, the code can look a little cleaner if you use f-strings.
You can't directly pass a list to the array function within the SQL syntax.
QUESTION
I am using a Counter() for counting words in the excel file. My goal is to acquire the most frequent words from the document. The problem that Counter() does not work properly with my file. Here is the code:
...ANSWER
Answered 2021-Feb-21 at 18:10The problem is that the bow_simple value is a counter, which you further process. This means that all items will appear only once in the list, the end result is merely counting how many variations of the words appear in the counter when lowered and processed with nltk. The solution is to create a flattened wordlist and feed that into alpha_only:
QUESTION
I've been trying to learn Python and created a little program that asks for a budget and recommends instruments I can't figure out how to solve this problem saying "NameError: name 'instrument is not defined". I am almost sure it happens because I've put instrument_choice function there, without it, it was working.
Here's my code:
...ANSWER
Answered 2021-Feb-15 at 13:03instrument is a local variable which means that it is only accessible in the instrument_choice function. If you want to use it in the nobudget function, you need to declare it globally.
This works for me:
QUESTION
I have inherited a site with some broken JS. I have tried debugging, but I cant seem to figure it out. When the page loads, the first image is showing. But when any other button is clicked the image disappears and no new image shows. Sorry for the mess. I didn't write it. No need to worry about CSS in this example.
...ANSWER
Answered 2021-Jan-15 at 17:35Looks like there was an issue with how the element was being looked up in changeMultiProduct. You were adding '-image' to the id but the id already contained that. Removing it from the method like below makes the images start appearing again.
Logging is your friend :)
QUESTION
I'm currently rewriting an article some person wrote some time ago and could not follow along with it. This article has a table named "Table 2: median and interquartile range of severity of depressive symptoms and serum levels of interleukin-6 and tumor necrosis factor at baseline, after intervention and at 6 and 12 months of follow-up.".
This is the table I'm talking about.
The data frame is currently variables with the values of each subject. Like il6_baseline, il6_6mon, il6_12mon, il6_after (for interleukin-6). The same thing with the tumor necrosis factor. These are continuous variables.
And the "TCC" AND "PDSE" in the table are two different groups that had different treatments in that period.
But I know how to get the medians and all that. My problem is what kind of graph do I use to illustrate these informations visually the best way? And if you could help me with a basic syntax that I could work from there. I'm a fresh learner of R, I can usually get stuff done, but I never messed much with graphs, and now I have this obstacle in front of me.
Thanks for your comprehension and attention. Have a good day!
Output from dput of a subset for visualization:
...ANSWER
Answered 2020-Dec-10 at 02:39They key for using ggplot2 effectively is converting your data to a long format.
QUESTION
I'm currently doing a grouped boxplot to show median values and interquartile intervals of serum levels in periods of time comparing two therapy models. You can see the current graph right below. What I want to do aswell but could not find how is how to put another x "category" with the total sample (pdse and tcc groups together, all observations). I hope with the code and info I gave here it's sufficient for you to try give me some light in here.
This is the structure of the subset I created to generate the ggplot2 boxplot.
...ANSWER
Answered 2020-Dec-09 at 22:29This can give you an idea of how to proceed. You can compute a new aggregation level (I have used mean values) and then bind to your original data. Here the code, where I have used your dput() data as plots_adj:
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Install serum
You can use serum like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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