Make an image "load" or "show" in a fade transition in Java
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.
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angularjs ui-router: How to make a transition from state "parent" to "parent.firstchild"?
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) {
$transitions.onSuccess({ to: 'rounds' }, function(trans) {
RoundsService.getRounds().then(function(rounds) {
return trans.router.stateService.go('rounds.round', {roundUri: rounds[0].uri});
})
});
});
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Error in as.data.frame.default: cannot coerce class "c("reactiveExpr", "reactive")" to a d
Date : March 29 2020, 07:55 AM
This might help you As Chi Pak has mentioned, reactive expressions must contain () at the end. Changing d.f to d.f() fixes the issue.
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Error in as.data.frame.default: cannot coerce class "c("reactiveExpr", "reactive")" to a d
Tag : r , By : Steven Weber
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further I think that the problem is that your reactive does not know what pos variable is in case that if statement is not executed, that is in case input$line == 'All'. Then you are asking it to return variable unknown in the context.
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Pandas "columns of child subrecords (as lists of dicts)" to more traditional "SQL Join" output style
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)
return(out)
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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