Population | Very simple cellular automaton
kandi X-RAY | Population Summary
kandi X-RAY | Population Summary
Population simulator made in TypeScript.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Population
Population Key Features
Population Examples and Code Snippets
def basic(target: str, genes: list[str], debug: bool = True) -> tuple[int, int, str]:
"""
Verify that the target contains no genes besides the ones inside genes variable.
>>> from string import ascii_lowercase
>>>
public Population evolvePopulation(Population pop) {
int elitismOffset;
Population newPopulation = new Population(pop.getIndividuals().size(), false);
if (elitism) {
newPopulation.getIndividuals().add(0, pop.getFi
def read_population_file(year, variant="Medium"):
"""Read population data for the given year and variant"""
population = {}
print(f"Reading population data for {year}, {variant} scenario")
with resources.open_text(
"data", "W
Community Discussions
Trending Discussions on Population
QUESTION
I am building an app following the Rest Countries API challenge from frontendmentor (https://www.frontendmentor.io/challenges/rest-countries-api-with-color-theme-switcher-5cacc469fec04111f7b848ca). I have run into a problem. When clicking on the router link in countryDetail.js, the url changes but the component doesn't get re-rendered unless the page is refreshed.
CountryDetails.js
...ANSWER
Answered 2021-Jun-15 at 17:07The issue seems to be that you are already on the "/country/:name"
path and are clicking to visit another country. The router correctly updates the URL in the address bar, but because CountryDetail
is already mounted it neglects to recompute the item
and allCountries
state. This is because the useEffect
hook only runs once when the component mounts.
The name
param (match.params.name
) is actually a dependency for the GET requests, it should be added to the useEffect
hook's dependency array.
QUESTION
I am having a dataset which contains the absolute HIV cases of four US State over 2 years.
There are three columns date
(Jan 2018, Feb 2018 ...) , state
(CA, NY, FL, MA) , and abs_cases
in the data frame. I am ignoring the population changes in those 2 years in the respective states.
I now want to calculate the relative cases for each state using the population for each state which I googled. (I will just use fantasy numbers here) pop<- "CA"= 11111, "NY"= 22222, "FL"= 33333,"MA"= 444444
.
I already tried using
...ANSWER
Answered 2021-Jun-15 at 14:40Without an example dataset, here is my guess at what you are trying to do. You can convert pop
into a dataframe using enframe
and join it to df
by state
. Then, you can compute the cases per population by each State in each month.
QUESTION
I'm working with some data where I have hourly observations for patients. In some cases, some of the features for a specific patient are completely empty. I'm trying to find a way to impute the data by using constant average that's based off a population subset of 50 other patients who have the same gender and a similar age. I've given a simplified look at the data below:
HR O2Sat Temp Platelets Age Gender PatientID 80 98 36.5 NaN 52 1 A0 82 96 37.0 NaN 52 1 A0 82 100 36.3 160 53 1 A1 90 93 36.6 165 53 1 A1 83 95 35.9 140 23 0 A2 79 98 36.2 155 23 0 A2 88 92 36.6 163 60 0 A3 90 91 36.3 165 60 0 A3 81 95 37.1 NaN 20 0 A4 81 92 36.9 NaN 20 0 A4I've reordered the dataframe by age and have this code so far
data = data.sort_values(['Age']).groupby(['PatientID','Gender']).apply(lambda x: x.fillna(x.mean()))
But I know that that's going to use all of the available data to find the mean but I'm not sure how to limit it to 50 patients of a similar age.
...ANSWER
Answered 2021-Jun-15 at 13:43I think I get what you want now. You want to fill the gaps with matching records for the right age and category. I created a simple example to debug.
QUESTION
I am building an app following the Rest Countries API challenge from frontendmentor. I have run into a problem. When trying to find the border countries full name using the alpha3code, I get the error :
TypeError: Cannot read property 'name' of undefined
.
ANSWER
Answered 2021-Jun-15 at 10:55This may not answering your question but have you tried console.log(response.data) before setItem(response.data) to check the data you get from axios.get? sometimes console.log can help
QUESTION
I've used a web API to import data from a specific website. I was able to import the data in JSON format. I am very new to python, hence finding hard to transform it to a tabular format which I can use it for my data analysis. Here's my sample code;
...ANSWER
Answered 2021-Jun-15 at 12:09Is it what you expect?
QUESTION
My intention is to get the weather data for the selected country, passing selectedCountry.capital to the query, so it is displayed the weather from current country capital when the data of a country is displayed.
The problem is my code tries to render the weather data before the weather array is fetched, resulting in an error.
TypeError: Cannot read property 'temperature' of undefined
I get the array data
...ANSWER
Answered 2021-Jun-15 at 11:54Simply use Optional chaining here:
QUESTION
I have been following the leaflets tutorial where it is guiding on how to build an Interactive Choropleth map. Not all things are entirely included and once in a while I have to go online in an attempt to tweak things to get the to work. I got this point where I was labeling the population density of the states and my legend does not show a range in the labels like in this map and instead looks like this (in photo below).
Below is my code that gives the legend above
...ANSWER
Answered 2021-Jun-14 at 13:29From that page you need to have the code starting from Custom Legend Control plus getColor
function from Adding Some Color and its style. You are missing the relevant styles.
QUESTION
I have three large dataframes and I want to append some of the elements from one onto another based on several criteria. I looked up similar questions in Stack Overflow but they don't seem to work for my dataframe format (or I'm not skilled enough to adapt it properly).
What needs to happen is:
- Filter by sex in maindf1
- Search for the same ZCTA value in maindf1 in a rowname (first column) in maledflookup
- Also search for the right age strata from a row in maindf1 in the column name of maledflookup
- Add a new column of data to maindf1 row with matching ZCTA that has the census population value for that sex and age strata taken from maledflookup
- Repeat with femaledflookup
- End result is maindf1 having a censuspop value for every row that was matched by sex, ZCTA, and age strata
maindf1 is raw data where each row is an individual and columns are survey responses or collected data on individuals
The lookup table from the census website I had to use is in weird formatting so the easiest solution for me to fix one of the issues with it was to separate the lookup tables by sex first.
I had no luck in writing successful code as I'm not very experienced with coding in R yet. I tried some for & if loops and failed at adapting fuzzyjoin code for this task. I appreciate your help!
Example data:
...ANSWER
Answered 2021-Jun-12 at 17:56Use left_join
from tidyverse and a properly formatted lookup table:
QUESTION
So, I have a fun issue. I have some data that have a fun nested dictionary that I need to manipulate, but am having trouble. I can do it in pure python, but wanted to do the entire solution in Pandas so as to keep the code a little cleaner and not have to re-open the same files elsewhere.
Dataframe:
...ANSWER
Answered 2021-Jun-13 at 17:17One way:
- Create another
list of dict
viato_dict('records')
. zip
anditerate
over both thelist of dict
.Update
the 1st one with the other to get the desiredJSON
.
QUESTION
This is perfect for what I need an no one seems to be answering it:
So, I have a fun issue. I have some data that have a fun nested dictionary that I need to manipulate, but am having trouble. I can do it in pure python, but wanted to do the entire solution in Pandas so as to keep the code a little cleaner and not have to re-open the same files elsewhere.
I have the following Dataframe:
...ANSWER
Answered 2021-Jun-13 at 18:14Have you tried the pd.to_dict() options? You can pass in different ways of presenting your data. orient=records or orient=index might help you. Docs are here https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_dict.html.
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