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Parse date string and change format
I have a date string with the format 'Mon Feb 15 2010'. I want to change the format to '15/02/2010'. How can I do this?
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Python pandas: fill a dataframe row by row
The simple task of adding a row to a pandas.DataFrame object seems to be hard to accomplish. There are 3 stackoverflow questions relating to this, none of which give a working answer.
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python tuple to dict
For the tuple, t = ((1, 'a'),(2, 'b'))
dict(t) returns {1: 'a', 2: 'b'}
6 Answers
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how to draw directed graphs using networkx in python?
...e some nodes coming from a script that I want to map on to a graph. In the below, I want to use Arrow to go from A to D and probably have the edge colored too in (red or something).
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Add list to set?
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You can't add a list to a set because lists are mutable, meaning that you can change the contents of the list after adding it to the set.
You can however add tuples to the set, because you cannot change the contents of a tuple:
>>> a.add(('f', ...
Why doesn't a python dict.update() return the object?
...e (with pragmatically induced exceptions such as pop;-) so they can't possibly be confused with accessors (and in the same vein, assignment is not an expression, the statement-expression separation is there, and so forth).
That doesn't mean there aren't a lot of ways to merge things up when you rea...
Start an Activity with a parameter
...nt.
Intent intent = new Intent(FirstActivity.this, SecondActivity.class);
Bundle b = new Bundle();
b.putInt("key", 1); //Your id
intent.putExtras(b); //Put your id to your next Intent
startActivity(intent);
finish();
Then grab the id in your new Activity:
Bundle b = getIntent().getExtras();
int ...
Implement Stack using Two Queues
A similar question was asked earlier there , but the question here is the reverse of it, using two queues as a stack. The question...
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Cleaning `Inf` values from an R dataframe
...apply(DT, function(x) replace(x, is.infinite(x),NA)))
Option 2 -- data.table
You could use data.table and set. This avoids some internal copying.
DT <- data.table(dat)
invisible(lapply(names(DT),function(.name) set(DT, which(is.infinite(DT[[.name]])), j = .name,value =NA)))
Or using column ...
How to do 3 table JOIN in UPDATE query?
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the answer is yes you can
try it like that
UPDATE TABLE_A a
JOIN TABLE_B b ON a.join_col = b.join_col AND a.column_a = b.column_b
JOIN TABLE_C c ON [condition]
SET a.column_c = a.column_c + 1
EDIT:
For general Update join :
UPDATE TABLEA a
JOIN TABLEB b ON...