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isset() and empty() - what to use
...mpty checks if the variable is set and if it is it checks it for null, "", 0, etc
Isset just checks if is it set, it could be anything not null
With empty, the following things are considered empty:
"" (an empty string)
0 (0 as an integer)
0.0 (0 as a float)
"0" (0 as a string)
NULL
FALSE
array(...
Get number days in a specified month using JavaScript? [duplicate]
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609
// Month here is 1-indexed (January is 1, February is 2, etc). This is
// because we're using 0...
Prepend a level to a pandas MultiIndex
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cs95
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answered Feb 7 '17 at 16:11
okartalokartal
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Capturing Groups From a Grep RegEx
I've got this little script in sh (Mac OSX 10.6) to look through an array of files. Google has stopped being helpful at this point:
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How to scroll to top of page with JavaScript/jQuery?
...op once it's fully loaded. This has Cross-browser support.
window.scrollTo(0,0);
history.scrollRestoration Browser support:
Chrome: supported (since 46)
Firefox: supported (since 46)
IE/Edge: not supported (Yet..)
Opera: supported (since 33)
Safari: supported
For IE/Edge if you want to re-s...
How do you read CSS rule values with JavaScript?
...(className) {
var cssText = "";
var classes = document.styleSheets[0].rules || document.styleSheets[0].cssRules;
for (var x = 0; x < classes.length; x++) {
if (classes[x].selectorText == className) {
cssText += classes[x].cssText || classes[x].style.cssText...
Populate data table from data reader
I'm doing a basic thing in C# (MS VS2008) and have a question more about proper design than specific code.
5 Answers
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Build an ASCII chart of the most commonly used words in a given text [closed]
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LabVIEW 51 nodes, 5 structures, 10 diagrams
Teaching the elephant to tap-dance is never pretty. I'll, ah, skip the character count.
The program flows from left to right:
sha...
Compare two DataFrames and output their differences side-by-side
... rows are empty*:
In [21]: ne = (df1 != df2).any(1)
In [22]: ne
Out[22]:
0 False
1 True
2 True
dtype: bool
Then we can see which entries have changed:
In [23]: ne_stacked = (df1 != df2).stack()
In [24]: changed = ne_stacked[ne_stacked]
In [25]: changed.index.names = ['id', 'col']
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How to get the separate digits of an int number?
I have numbers like 1100, 1002, 1022 etc. I would like to have the individual digits, for example for the first number 1100 I want to have 1, 1, 0, 0.
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