I have the following directory structure: application/main.py contains some functions. tests/main.py will contain my tests for these functions but I can’t import the top level main.py. I get the following error: I am attempting to import using the following syntax: What am I doing wrong?
Long integers: There is no explicitly defined limit. The amount of available address space forms a practical limit.(Taken from this site). See the docs on Numeric Types where you’ll see that Long integers have unlimited precision. In Python 2, Integers will automatically switch to longs when they grow beyond their limit: for integers we have maxint and maxsize: The maximum … Read more
You could use np.where. If cond is a boolean array, and A and B are arrays, then defines C to be equal to A where cond is True, and B where cond is False. yields If you have more than one condition, then you could use np.select instead. For example, if you wish df[‘que’] to … Read more
Do you mean something like this? Note that using len assumes you don’t have NAs in your DataFrame. You can do x.value_counts().count() or len(x.dropna().unique()) otherwise.
3 This question already has answers here: How to execute a program or call a system command? (63 answers) Closed 8 years ago. I need to run an rsync command from Python. Is this possible and if so, how do I do it?
On postgres, three databases are normally present by default. If you are able to connect as a superuser (eg, the postgres role), then you can connect to the postgres or template1 databases. The default pg_hba.conf permits only the unix user named postgres to use the postgres role, so the simplest thing is to just become that user. At any rate, create an engine as usual … Read more
Not sure if this helps, but: is really the indicator function , as described here. This forms the expression (j == y[i]) in the code. Also, the gradient of the loss with respect to the weights is: where which is the origin of the X[:,i] in the code.
Try this: The inner while loop loops until the input is either ‘y’ or ‘n’. If the input is ‘y’, the while loop starts again (continue keyword skips the remaining code and goes straight to the next iteration). If the input is ‘n’, the program ends.
It sounds like you have three arrays itemNameList, array_x, and array_y Assuming they are all the same shape, you can just do: EDIT Your problem is that array_x and array_y are not actual numpy.array objects, but likely numpy.int32 (or some other non-iterable) objects: Perhaps their initialization is not going as expected, or they are being changed from arrays somewhere in your code?
It appears to me that the simplest way to do this is