How to one-hot-encode from a pandas column containing a list?
I would like to break down a pandas column consisting of a list of elements into as many columns as there are unique elements i.e. one-hot-encode them (with value 1 representing a given element existing in a row and 0 in the case of absence). For example, taking dataframe df Col1 Col2 Col3 C 33 [Apple, Orange, Banana] A 2.5 [Apple, Grape] B 42 [Banana] I would like to convert this to: df Col1 Col2
How to map an object to arrays so it can be converted to csv?
I'm trying to convert an object that looks like this: { "123" : "abc", "231" : "dbh", "452" : "xyz" } To csv that looks like this: "123","abc" "231","dbh" "452","xyz" I would prefer to use the command line tool jq but can't seem to figure out how to do the assignment. I managed to get the keys with jq '. | keys' test.json but couldn't figure out what to do next. The problem is you can't convert a
Does mysqldump support a progress bar?
Install and use pv (it is available as a yum package for CentOS) http://www.ivarch.com/programs/pv.shtml PV ("Pipe Viewer") is a tool for monitoring the progress of data through a pipeline. It can be inserted into any normal pipeline between two processes to give a visual indication of how quickly data is passing through, how long it has taken, how near to completion it is, and an estimate of how
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