I am running a python project in pycharm. In the code we have a main “try-catch-finally” block e.g. If I run the program in the terminal it will reach the finally block when I press our quit button or “ctrl-c” and perform the post processing required. However, after pressing “stop” when using the run tool in PyCharm it just quits
Tag: pycharm
Cannot connect to localhost:63342 when using matplotlib in PyCharm’s Python scientific plotting
My PyCharm’s scientific plotting mode doesn’t work on localhost (not remote). It reports: My matplotlib with the show plots in tool window in Tools -> Python Scientific unchecked (plot in original window instead of in SciView) worked normally. Changing a few options such as debugging server’s port and python’s interpreter (anaconda3 (Python 3.7) and pure version of Python 3.8.3) does
CuDNN crash in TF 2.x after many epochs of training
I’m currently becoming more and more desperate concerning my tensorflow project. It took many hours installing tensorflow until I figured out that PyCharm, Python 3.7 and TF 2.x are somehow not compatible. Now it is running, but I get a really unspecific CuDNN error after many epochs of training. Do you know if my code is wrong or if there
Avoiding Default Argument Value is Mutable Warning (PyCharm) [duplicate]
This question already has answers here: Why does PyCharm warn about mutable default arguments? How can I work around them? (5 answers) Closed 1 year ago. Code: Output: When running the code above, the output is as expected however PyCharm doesn’t like it when I pass a list/dictionary (mutable) into the lambda function. To my understanding, it is bad practice
No menu for adding WSL python interpreter in PyCharm
I was following this guide from official jetbrains page, until the step 2 comes in the existence. In the picture mentioned in that page, has so many options like ssh, wsl, vagrant, docker, etc. In my pycharm (latest 2019.3.4) it only shows 4 options – venv, conda, pipenv and system-interpreter. There is no WSL menu in the add python interpreter
PyCharm Interpreter configuration error, code example with Neo4j with Python Driver
I started a local neo4j server and work with it using Python (PyCharm) Installed with (python -m pip install –upgrade neo4j==4.0.0) Python 3.8 Neo4j 4.0 But when the program starts, it returns an error. What to do? How can I fix this? Answer Probably you have wrong PyCharm Interpreter configuration and/or Run Configuration. Try running code with console command from
pycharm python selenium scraper apparently not printing correct value
I new to python, selenium, pycharm and such. I’m trying to print the value of a on a website ( at the moment of writing this the value is 6320 ).The code is not giving errors but it’s printing nothing. As you can see in the screenshot, when i’m debugging and hovering over the variable, it’s displaying 6320, which is
PyCharm Matplotlib “UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure. plt.show()”
I am having problems with matplotlib.pyplot.show() function. I am using PyCharm on Linux, and i have a VirtualEnv. When i execute the file x.py in the built terminal in PyCharm (using venv) like this $ python x.py everything works fine, the function plt.show() renders and shows the plotted graph well. i did add print(matplotlib.get_backend()) to see which backend was used
Why are type hints for variables not handled as type hints for function parameters?
When writing a function in Python with type hints like this: It translates to this type hint: Optional[Token]. With optional, a None value is accepted too. When writing the same type hint for a class field, it doesn’t behave the same: Here type hint checkers like the integrated one in PyCharm reports: Expected type ‘Token’, got None instead. My questions
Read avro files in pyspark with PyCharm
I’m quite new to spark, I’ve imported pyspark library to pycharm venv and write below code: , everything seems to be okay but when I want to read avro file I get message: pyspark.sql.utils.AnalysisException: ‘Failed to find data source: avro. Avro is built-in but external data source module since Spark 2.4. Please deploy the application as per the deployment section