Python’s inability to pickle module objects is the real problem. Is there a good reason? I don’t think so. Having module objects unpicklable contributes to the frailty of python as a parallel / asynchronous language. If you want to pickle module objects, or almost anything in python, then use dill. Python 3.2.5 (default, May 19 … Read more
import time from datetime import datetime, date, time, timedelta dayDates = [] today = datetime.now() dayDates.append(today.strftime(“%m%d%Y”)) for i in range(0,14): day = today + datetime.timedelta(days=i) print day The error that you are getting says, that datetime has no attribute timedelta. It happens, because you have imported from datetime specific things. In order to access timedelta … Read more
I had this error and I used the json.dump the wrong way around: Correct way: with open(“Jello.json”, “w”) as json_file: json.dump(object_to_be_saved, json_file) Wrong way: I did it the other way around json.dump(json_file, object_to_be_saved)… Thanks Python.
You can import Layer and InputSpec from TensorFlow as follows: from tensorflow.python.keras.layers import Layer, InputSpec UPDATE: 30/10/2019 from tensorflow.keras.layers import Layer, InputSpec
If you use a new style class it, this will work: class ClassA(object): pass o = ClassA() mytype = type(o) new_object = mytype()
Submit is an HTML Form structure… You must use name attribute of form objects as follows… In your template: <form> … <input type=”submit” name=”list” value=”List Objects” /> </form> <form> … <input type=”submit” name=”do-something-else” value=”Do Something Else” /> </form> In your view: if ‘list’ in request.POST: # do some listing… elif ‘do-something-else’ in request.POST: # do … Read more
In general, a context manager is free to do whatever its author wants it to do when used. Set/reset a certain system state, cleaning up resources after use, acquiring/releasing a lock, etc. In particular, as Jon already writes, a database connection object creates a transaction when used as a context manager. If you want to … Read more
For the general case, where your search string can be in any column, you can do this: >>> rows, cols = np.where(t == ‘bar’) >>> t[rows] array([[‘2’, ‘3’, ‘4’, ‘bar’], [‘8’, ‘9’, ‘1’, ‘bar’]], dtype=”|S11″)
setenv must be in [testenv]: [tox] envlist = py35 [testenv] deps=pytest commands=py.test setenv = XYZ = 123
This can be done by passing a dictionary with FacetGrid keyword arguments to relplot, like this: facet_kws={‘sharey’: False, ‘sharex’: True} (See seaborn.relplot documentation.)