ios - UITabBarController with conditional UIViewController -


Once the item is pressed, then I would like to choose that the UIViewController contains a

P> There are two ways < / P> 
  - tabBarController: shouldSelectViewController: - TabBarController: didSelectViewController:

So every time you click on a tab bar, these representatives will be called and you Can do all the tasks.


-

Comments

Post a Comment

Popular posts from this blog

php - Select box validation (in laravel) -

I have a text that includes text input and selection box. I was trying to apply Laravel validation. I now want to retain user input values ​​if the verification does not succeed. I'm able to get it on the input box, but not on the selection box. This is my code {{form :: select ('vehicles_year'), how the first selected value (in the selection box) will show. $ Model year, '-1', ['id' = & gt; 'Vehicles_year'])}} & lt; Span class = "help-block" id = "vehicles_year_error" & gt; @if ($ errors-> ('vehicles_year')) {{$ errors- & gt; First ('vehicles_year')}} @endif & lt; / Span & gt; -1 I am the default value key when I am showing the form load. What I do is that I add the "default" option which is "nothing" Is set to. In the validity rules, I say this value is necessary. If the user does not choose any of the other options, the verification fails. $ op...
Read more

pandas - Iterate on Groupby Object's fields -

I want to be able to iterate over a group object: grouped = Df Groupby ('zzz') question_list = [a, b, c] How do I get a list of values ​​for: grouped .grouped.b grouped.c but using a for-loop? You can either remove such a key print Df Groupby ('zzz'). Groups.keys () To capture the grouped. You can do this ... print df.groupby ('Zzz') group ['A'] or you can open the key, For this type of group key, in df.groupby group ('Zzz'): print key # group key Is a dataframe related to
Read more

Creating a sparse matrix in Matlab with a specified number of independent Bernoulli +-1 nonzero entries -

How can we create matrix x, 1000 by 1000 in the matteback, which is sparse, say Are, 5% of independent Bernoulli + 1 nonzero entries? I.e. In such a matrix, rho = = X Choose 5% of irregular elements n = Numel (x); Ind = Randie (n, round (.05 * n), 1); Assign these elements with random variables x (ind) = binorend (1, .5, length), 1) * 2-1; Check for more information To prevent duplicate rand numbers, from the Statistics Toolbox, or randperm as mentioned in some, or something like this Ind = []; T = round (.05 * n); T1 = length (IND); While T1 & LT; T Ind (end + 1: t0) = rand (n, tt-1, 1); Ind = Unique (Ind); T1 = length (IND); End
Read more