.moduleB is a relative import. Relative only works when the parent module is imported or loaded first. That means you need to have proj imported somewhere in your current runtime environment. When you are are using command python3 moduleA.py3, it is getting no chance to import parent module. You can: from proj.moduleB import moduleB OR … Read more
My network does always predict the same class. What is the problem? I had this a couple of times. Although I’m currently too lazy to go through your code, I think I can give some general hints which might also help others who have the same symptom but probably different underlying problems. Debugging Neural Networks … Read more
I also had the same issue. It got resloved once I upgraded the numpy from 1.15.4 to 1.16.1. If you’re using pip: pip install numpy –upgrade Numpy that came with Anaconda3 is of version 1.15.4. so i upgraded and it worked. Side note: if you’re also using scikit-image in your script, be aware that numpy … Read more
To elaborate on Williams’ answer a bit more, the expected workflow is to enter the virtualenv using pipenv shell. When you activate the virtualenv that way, the console output now indicates to use exit: Spawning environment shell (/bin/zsh). Use ‘exit’ to leave. Trying to exit the virtualenv with deactivate will leave pipenv in a confused … Read more
Sadly pip search is now permanently banned by python.org. They said that they are experiencing “hundreds of thousands of search calls per hour” for 100 days(since Nov 14, 2020), and the XMLRPC API, via which the search calls are taking, had already been determined to be deprecated before this happened. So maybe we need to … Read more
There is no simple way to import python files in another directory. This is unrelated to the jupyter notebook Here are 3 solutions to your problem You can add the directory containing the file you want to import to your path and then import the file like this: import sys sys.path.insert(0, ‘/path/to/application/app/folder’) import file You … Read more
Just access the week attribute of Series.dt.isocalendar(): Example: In [286]: df[‘Date’].dt.isocalendar().week Out[286]: 0 25 dtype: int64 In [287]: df[‘Week_Number’] = df[‘Date’].dt.isocalendar().week df Out[287]: Date Week_Number 0 2015-06-17 25
You have to iterate through the filter object somehow. One way is to convert it to a list: l = list(filter(lambda x: x > 3, n)) len(l) # <– But that might defeat the point of using filter() in the first place, since you could do this more easily with a list comprehension: l = … Read more
Also using John’s data sample: Using xs() is another way to slice a MultiIndex: df 0 stock1 price 1 volume 2 stock2 price 3 volume 4 stock3 price 5 volume 6 df.xs(‘price’, level=1, drop_level=False) 0 stock1 price 1 stock2 price 3 stock3 price 5 Alternatively if you have a MultiIndex in place of columns: df … Read more
Jinja is a dependency of Flask and Flask V1.X.X uses the escape module from Jinja, however recently support for the escape module was dropped in newer versions of Jinja. To fix this issue, simply update to the newer version of Flask V2.X.X in your requirements.txt where Flask no longer uses the escape module from Jinja. … Read more