Columbus | A feature-rich country picker for iOS , tvOS and watchOS | iOS library
kandi X-RAY | Columbus Summary
kandi X-RAY | Columbus Summary
A country picker for iOS, tvOS ad watchOS with features you will only find distributed in many different country-picker implementations.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Columbus
Columbus Key Features
Columbus Examples and Code Snippets
struct CountryPickerConfig: Configurable {
var displayState = CountryPickerViewController.DisplayState.countryCodeSelection
/// In this example this has to be a computed property so the font object
/// is calculated later on demand. Sinc
if #available(iOS 13.0, *) {
let defaultCountry = CountryPickerViewController.defaultCountry(from: "US")
let picker: CountryPickerViewController = storyboard.instantiateViewController(identifier: "Picker") { (coder) -> CountryPickerViewCon
github "Blackjacx/Columbus"
carthage bootstrap --use-ssh --use-xcframeworks --cache-builds
Community Discussions
Trending Discussions on Columbus
QUESTION
I am looking at the following json file:
...ANSWER
Answered 2021-Jun-10 at 00:31Instead of this:
QUESTION
I'm hoping someone can help me out. I have created a table and have multiple Tabs. Each Tab has different data inside the table. Each table row has a column with a number of votes and I want to sort the rows automatically with the columns that have more votes at the top.
This is my HTML code:
...ANSWER
Answered 2021-Jun-03 at 03:04Having separate arrays for each tab(comedy and horror) worked for me, so you just create a second array and duplicate the javascript functions, using more specific JS selectors.
QUESTION
-- print out stores at the same regions and their addresses
SELECT A.address AS LE, B.address AS LC, C.address AS LW, D.address AS LS, E.address AS LN FROM
(SELECT region, address FROM postcode WHERE region = 'LE') A,
(SELECT region, address FROM postcode WHERE region = 'LC') B,
(SELECT region, address FROM postcode WHERE region = 'LW') C,
(SELECT region, address FROM postcode WHERE region = 'LS') D,
(SELECT region, address FROM postcode WHERE region = 'LN') E;
...ANSWER
Answered 2021-May-20 at 05:13This kind of data manipulation is better done in the client. But you could do:
QUESTION
UPDATE 2 - better question.
Would anyone know how to create one pandas dataframe column that represents a calendar holiday date as a 1 and a non-calendar holiday date as a zero?
TO make up some times series data:
...ANSWER
Answered 2021-May-14 at 18:48A join option:
QUESTION
I have below sample input file where elements can be of any size after 3rd "|" delimiter . A person can have any number of addresses separated by "," and each address element is separated by ":" delimiter. Can you please advise if there is any file reader that can handle this kind of data record? Thanks
...ANSWER
Answered 2021-May-10 at 06:22This is a custom requirement and there is no built-in way to do that in Spring Batch. You can however leverage the FlatFileItemReader
with a custom FieldSetMapper
. Here is a quick example:
QUESTION
I was trying to find the count of cities having COUNT > 1 in google sheet but the problem is that some of the cities have leading or trailing spaces.
Shared google sheet: https://docs.google.com/spreadsheets/d/10NzbtJhQj4hQBnZXcmwise3bLBIAWrE0qwSus_bz7a0/edit#gid=8060956
My attempt
...ANSWER
Answered 2021-Apr-21 at 17:14Try this:
=arrayformula( query( query( trim(D1:D), "select Col1, count(Col1) where Col1 is not null group by Col1 order by count(Col1) desc", 1 ), "where Col2 > 1", 1 ) )
The inner query()
gets cities whose count is greater than or equal to one, and the outer query()
filters the result so that the counts are greater than one.
QUESTION
I was trying to create a count plot from the state names that appear in one of the columns of the google-sheet like following:
The open shareable google sheet link:
https://docs.google.com/spreadsheets/d/10NzbtJhQj4hQBnZXcmwise3bLBIAWrE0qwSus_bz7a0/edit#gid=8060956
...ANSWER
Answered 2021-Apr-19 at 14:06QUESTION
I'm scraping data from the following API: https://content.osu.edu/v2/classes/search?q=&campus=col&academic-career=ugrd
The JSON format looks like:
...ANSWER
Answered 2021-Apr-13 at 17:41You can see the next page link in the response:
"nextPageLink":"?q=&campus=col&academic-career=ugrd&p=2",
So you should use p
instead of page
.
QUESTION
I have a column (in a dataframe) that contains multiple city names and I need to know the unique name of cities.
...ANSWER
Answered 2021-Apr-10 at 13:05df.city.str.split(",").explode().unique().tolist()
QUESTION
Long Story short. I have data that I'm trying to identify duplicate records by address. The address can be matched on the [Address]
or [Remit_Address]
fields.
I use a JOIN and UNION to get the records, but I need the matched records to appear with each other in the results.
I can't sort by any of the existing fields, so a typical 'ORDER BY' won't work. I looked into RANK
as suggested by someone and it looks like it might work, but I don't know how to do the Partition, and I think the Order gives me the same issue with ORDER BY
.
If RANK is not the best option I'm open to other ideas. The goal ultimately is to group the matched records someway.
- SSMS 18
- SQL Server 2019
Here is the setup:
...ANSWER
Answered 2021-Apr-10 at 05:55This query creates the desired result.
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