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Pandas timeseries plot setting x-axis major and minor ticks and labels
I want to be able to set the major and minor xticks and their labels for a time series graph plotted from a Pandas time series object.
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how to get html content from a webview?
... html code from a webview?
I have tried several methods from stackoverflow and google, but can't find an exact method. Please mention an exact way.
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Difference between CouchDB and Couchbase
Are there any essential differences between CouchDB and Couchbase .
3 Answers
3
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How to embed an autoplaying YouTube video in an iframe?
I am trying to embed the new iframe version of a YouTube video and get it to auto play.
14 Answers
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Count the number of occurrences of a character in a string in Javascript
...a regular expression literal if you know what you are searching for beforehand, if not you can use the RegExp constructor, and pass in the g flag as an argument.
match returns null with no results thus the || []
The original answer I made in 2009 is below. It creates an array unnecessarily, but us...
Dashed line border around UIView
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You can set the border with this pattern using Layer and Bezier path like below examples.
Objective-C
CAShapeLayer *yourViewBorder = [CAShapeLayer layer];
yourViewBorder.strokeColor = [UIColor blackColor].CGColor;
yourViewBorder.fillColor = nil;
yourViewBorder.lineDashPattern...
MySQL case insensitive select
...f a MySQL SELECT query is case sensitive or case insensitive by default? And if not, what query would I have to send so that I can do something like:
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What is a patch in git version control?
I am new to both git and version control so I am trying to figure out what a patch is and how is it different from the rest of activities I do in git?
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What is the difference between the | and || or operators?
I have always used || (two pipes) in OR expressions, both in C# and PHP. Occasionally I see a single pipe used: | . What is the difference between those two usages? Are there any caveats when using one over the other or are they interchangeable?
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How to split/partition a dataset into training and test datasets for, e.g., cross validation?
What is a good way to split a NumPy array randomly into training and testing/validation dataset? Something similar to the cvpartition or crossvalind functions in Matlab.
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