countries | Rinvex Country is a simple and lightweight package
kandi X-RAY | countries Summary
kandi X-RAY | countries Summary
Rinvex is a software solutions startup, specialized in integrated enterprise solutions for SMEs established in Alexandria, Egypt since June 2016. We believe that our drive The Value, The Reach, and The Impact is what differentiates us and unleash the endless possibilities of our philosophy through the power of software. We like to call it Innovation At The Speed Of Life. That’s how we do our share of advancing humanity.
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Top functions reviewed by kandi - BETA
- Get a value from an array .
- Plucks a value from an array .
- Get translations .
- Returns a list of supported currencies
- Get available locales .
- Add country validation rules
- Thrown when country code is invalid .
countries Key Features
countries Examples and Code Snippets
Lines of Code : 9
License : No License
Copypublic static int getPopulation(List countries, String continent) {
int sum = 0;
for (Country c : countries) {
if (c.getContinent().equals(continent)) {
sum += c.getPopulation();
}
}
return sum;
} public void iterateWithListIterator() {
ListIterator listIterator = countries.listIterator();
while(listIterator.hasNext()) {
System.out.println(listIterator.next());
}
} public void iterateWithIterator() {
Iterator countriesIterator = countries.iterator();
while(countriesIterator.hasNext()) {
System.out.println(countriesIterator.next());
}
} Community Discussions
Trending Discussions on countries
QUESTION
I have a dataset where i have a column (Continent) and i which to rename some of the data within this column, how would i do this. Data and example below;
I currently have these as the continents for countries in my dataset, i with to rename them so Australia would take Oceana instead of Western pacific, and Afghanistan would take Asia and not East Mediterranean. Africa Americas East Mediterranean Europe South East Asia Western Pacific
Part of my dataset here; head(all_data,3)
...ANSWER
Answered 2022-Feb-21 at 23:00With case_when you could extend: (more conditions):
QUESTION
I'm currently trying to fetch data from public API about a country and its neighboring countries to render on my html.
renderCountry( ) is a function to implement on my html with the data I will receive.
I also excluded some unnecessary codes, which I believe is not major in this particular case.
This is how I fetch data:
...ANSWER
Answered 2022-Jan-19 at 20:37You can rewrite it using async/await
eg.
QUESTION
I am starting with React and trying to separate the routes into their respective files. I am using react router v6.
So I want to import the admin routes in my routes.jsx like this:
...ANSWER
Answered 2021-Dec-17 at 06:24You can try this. You should wrap with Routes component when import another route.
QUESTION
I have a panel dataset at the country and year level, and I'd like to create a two new variables based on existing ones.
year country var1 var2 var3 var 4 mean_var1 relmean_var1 1910 GER 1 4 10 6 3 0.333 1911 GER 2 3 11 7 1.5 1.3333 1910 FRA 5 6 8 9 3 1.66667 1911 FRA 1 4 10 9 1.5 .66667What I'd like to do is create two new variables set : (1) a variable set of the average for each year (across countries) and (2) a variable set of the country value relative to the year-average. For example, for var1(1) would yield mean_var1 and (2) relmean_var1 and I'd want these for all the other variables. In total, there are over 1000 variables in the dataset, but I would only apply this function to about 6.
I have code that works for the first part, but I'd like to combine it as efficiently as possible with the second.
...ANSWER
Answered 2021-Nov-24 at 13:24library(tidyverse)
data <- tibble::tribble(
~year, ~country, ~var1, ~var2, ~var3, ~var.4,
1910L, "GER", 1L, 2L, 10L, 6L,
1911L, "GER", 2L, 3L, 11L, 7L,
1910L, "FRA", 5L, 6L, 8L, 9L,
1911L, "FRA", 1L, 3L, 10L, 9L
)
data_long <-
data %>%
pivot_longer(-c(year, country))
data_long
#> # A tibble: 16 x 4
#> year country name value
#>
#> 1 1910 GER var1 1
#> 2 1910 GER var2 2
#> 3 1910 GER var3 10
#> 4 1910 GER var.4 6
#> 5 1911 GER var1 2
#> 6 1911 GER var2 3
#> 7 1911 GER var3 11
#> 8 1911 GER var.4 7
#> 9 1910 FRA var1 5
#> 10 1910 FRA var2 6
#> 11 1910 FRA var3 8
#> 12 1910 FRA var.4 9
#> 13 1911 FRA var1 1
#> 14 1911 FRA var2 3
#> 15 1911 FRA var3 10
#> 16 1911 FRA var.4 9
means_country <-
data_long %>%
group_by(country) %>%
summarise(mean_country_value = mean(value))
means_years <-
data_long %>%
group_by(year) %>%
summarise(mean_year_value = mean(value))
data %>%
left_join(means_country) %>%
left_join(means_years)
#> Joining, by = "country"
#> Joining, by = "year"
#> # A tibble: 4 x 8
#> year country var1 var2 var3 var.4 mean_country_value mean_year_value
#>
#> 1 1910 GER 1 2 10 6 5.25 5.88
#> 2 1911 GER 2 3 11 7 5.25 5.75
#> 3 1910 FRA 5 6 8 9 6.38 5.88
#> 4 1911 FRA 1 3 10 9 6.38 5.75
QUESTION
I have a dataframe where the indexes are not numbers but strings (specifically, name of countries) and they are all unique. Given the name of a country, how do I find its row number (the 'number' value of the index)?
I tried df[df.index == 'country_name'].index but this doesn't work.
ANSWER
Answered 2021-Nov-05 at 05:28pd.Index.get_indexer
We can use pd.Index.get_indexer to get integer index.
QUESTION
I want to display a "pretty" list of countries and their ISO currency codes on C++. The issue is that my data is in French and it has accentuated characters. That means that Algeria, actually is written "Algérie" and Sweden becomes "Suède".
...ANSWER
Answered 2021-Oct-13 at 16:09- Convert to using
std::wstringinstead ofstd::string - Convert to using wide string constants (
L"stuff"vs"stuff") - Convert to using
std::wcoutinstead ofstd::cout - Use
setlocaleto set a UTF-8 locale - Use
wcout.imbueto configure wcout for a UTF-8 locale
Example:
QUESTION
I have this class:
...ANSWER
Answered 2021-Sep-18 at 07:25Double check your jwt token. I think it miss sub attribute( subject or username here).
I also highly recommend you write the few unit test for few class such as JwtTokenUtil to make sure your code working as expected. You can use spring-test to do it easily.
It help you discover the bug easier and sooner.
Here is few test which i used to test the commands "jwt generate" and "jwt parse"
QUESTION
Could you help me with the logic for rendering content? I'm doing pet-project with React, Redux, TS and have troubles with content rendering on page load.
Actually there are two problems.
The first problem:
- When I click on a card the GET request is sent for the card data.
- Card's page is opens (dynamic routing with useParams)
- When data is received from server it sends to Redux State
- Page renders is ok (because initial state was empty).
Then I click on another card and here's the problem: 5) I click on another card and send GET request for the new date. 6) At this moment state stores previous card data and renders it 7) New data comes from servers and renders. 8) For time very small amount of time I see previous card data ...it's flickring. Gif below
My question is: should I reset card state to its initial state (empty state) when clicking on a card? Or there should be another way to do this?
Second problem: To fix first propblem I addeed onClick function which resets card state to its initial state:
...ANSWER
Answered 2021-Aug-25 at 10:42What I like to do is that I like to use condition with useState() as well as check that the particular key has data. I don't reset the state before each click. Rather I check if the particular post key has already data present in redux state. If that particular key has data then I just use that data and do not make a fetch request every time the same component is rendered. If it does not have data then i make request.
1- Check if the item key has already data present. if it has then no need to make a fetch request, use the data to render component.
2- concat data to redux store. Don't override the state.
3- store data in the form of Objects. Where keys would be item's unique key. This way you can check if key is present (eg: data[key]?.length > 0)
Hope it helps.
QUESTION
Suppose I have the following code that is used to handle links between individuals and countries:
...ANSWER
Answered 2021-Aug-08 at 19:15Just because the dataclass does it behind the scenes, doesn't mean you classes don't have an __init__(). They do and it looks like:
QUESTION
I have a bunch of names from the web (first name, last name, of people in different countries). Some of the countries have statistics on how many people have each last name, as shown in some places like here.
Well, that Japanese surname list only lists the top 100. I have other lists like for Vietnamese listing the top 20, and other lists the top 50 or 1000 even in some places. But I have real name lists that are up to the 1000+ count. So I might have 2000 Japanese surnames, with only 100 that have listed the actual count of people with that surname.
What I would like to do is built a "faker" sort of library, that generates realistic names based on these statistics. I know how to pick a random element from a weighted array in JavaScript, so once the "weights" (number of people with that name) are included for each name, it is just a matter of plugging it into that algorithm.
My question is, how can I "complete the curve" on the names that don't have a weight on them? That is, say we have an exponential-like curve sort of, from the 20 or 100 names that have weights on them. I would then like to randomly pick names from the remaining unweighted list, and give them a value that places them somewhat realistically in the remaining tail of the curve. How can that be done?
For example, here is a list of Vietnamese names with weights:
...ANSWER
Answered 2021-Aug-04 at 09:34I'm no mathematician, so I've simply fitted the data to a y=A*x^B equation using these equations, although Wolfram has some others that might fit your data better. Perhaps some papers around the distribution of (sur)names might hint at a better equation.
Nonetheless, the current prediction doesn't seem too bad:
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Install countries
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