How to make the transition from "traditional" to reactive MVVM

How to make the transition from "traditional" to reactive MVVM

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How to make the transition from "traditional" to reactive MVVM
Tag : chash , By : Harvey
Date : November 24 2020, 09:00 AM

Does that help ValueB: View model is responsible for updating model. ReactivePropertyuses only IObservable interface from your model properties and reads values from ValueB(does not write anything). ReactiveProperty is changed by view through Value property. ReactiveProperty implements IObservable and you should subscribe to changes to get new values.
ValueA: We can make a ReactiveProperty on the view model side an subscribe to propagate the changed value to the model.
class ReactiveModel
    public string ValueA {get;set;}
    private readonly Subject<string> valueB = new Subject<string>();
    public IObservable<string> ValueB
            return valueB;

    public void UpdateB(string newValue)

class ReactiveViewModel
    private readonly ReactiveModel model;
    private readonly ReactiveProperty<string> valueA;
    private readonly ReactiveProperty<string> valueB;

    public ReactiveViewModel(ReactiveModel model)
        this.model = model;

        valueA = new ReactiveProperty<string>(model.ValueA);
        valueA.Subscribe(x => model.ValueA = x);

        valueB = model.ValueB.ToReactiveProperty();

    public IObservable<string> ValueA
            return valueA;

    public ReactiveProperty<string> ValueB
            return valueB;
<TextBox Text="{Binding ValueA.Value, UpdateSourceTrigger=PropertyChanged}"/>

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Make an image "load" or "show" in a fade transition in Java

Tag : java , By : Hugo
Date : March 29 2020, 07:55 AM
To fix this issue I'm assuming you want some sort of curtain effect, like when an image loads over a slow internet connection. I would approach it this way:
You want to use the setClip method of your Graphics2D object. Create a new Rectangle of the size you want the image to be drawn in, and pass that to setClip in graphics. This will cause the drawing of the image to be performed only inside the area specified by the rectangle.

angularjs ui-router: How to make a transition from state "parent" to "parent.firstchild"?

Tag : angularjs , By : n1ckless_id
Date : March 29 2020, 07:55 AM
will help you You are missing the roundUri parameter for rounds.round state. You could have known that had you seen the console! :)
So, I changed it to something like this:
trans.router.stateService.go('rounds.round', {roundUri: "firstround"});
app.run(function($transitions, RoundsService) {
  $transitions.onSuccess({ to: 'rounds' }, function(trans) {
    RoundsService.getRounds().then(function(rounds) {
        return trans.router.stateService.go('rounds.round', {roundUri: rounds[0].uri});

Error in as.data.frame.default: cannot coerce class "c("reactiveExpr", "reactive")" to a d

Tag : r , By : robinator
Date : March 29 2020, 07:55 AM
This might help you As Chi Pak has mentioned, reactive expressions must contain () at the end. Changing d.f to d.f() fixes the issue.

Error in as.data.frame.default: cannot coerce class "c("reactiveExpr", "reactive")" to a d

Tag : r , By : Steven Weber
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further I think that the problem is that your reactive does not know what pos variable is in case that if statement is not executed, that is in case input$line == 'All'. Then you are asking it to return variable unknown in the context.

Pandas "columns of child subrecords (as lists of dicts)" to more traditional "SQL Join" output style

Tag : python , By : rajiv
Date : March 29 2020, 07:55 AM
I wish this helpful for you If I have a DataFrame made by running the following code: , I'm not sure whether this is too kludgey, but here's something:
import pandas as pd
from functools import reduce

df = pd.DataFrame(listDics)

cols = ['SomeChildren', 'MoreChildren']

def f(s):
    out = pd.concat([pd.DataFrame(x) for x in df[s]], keys = df.index)
    out = out.add_prefix(s + '.')
    out.index = out.index.get_level_values(0)


addl_dfs = list(map(f, cols))
df = df.drop(cols, axis = 1)

df_list = [df] + addl_dfs

df = reduce(lambda l, r: pd.merge(l, r, left_index = True, right_index = True), df_list)
for d in addl_dfs:
    d.columns = d.columns.str.split('.').str.get(1)
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