I tried to add this in my launch.json, then it works! “env”: {“PYTHONPATH”: “${workspaceRoot}”} below is my launch.json “name”: “Python: Current File (Integrated Terminal)”, “type”: “python”, “request”: “launch”, “program”: “${file}”, “cwd”: “${workspaceRoot}”, “env”: {“PYTHONPATH”: “${workspaceRoot}”}, “console”: “integratedTerminal” wish it can help u! 🙂
I advice running airflow in a robust way, with auto-recovery with systemd so you can do: – to start systemctl start airflow – to stop systemctl stop airflow – to restart systemctl restart airflow For this you’ll need a systemd ‘unit’ file. As a (working) example you can use the following: put it in /lib/systemd/system/airflow.service … Read more
Python 2.7 is not supported anymore in opencv-python-4.3.0.38. Support was dropped in 4.3.0.36; see this issue. The workaround I found was to install opencv-python version 4.2.0.32 (which is the latest supported for Python 2.7, see this for all releases) like this: pip2 install opencv-python==4.2.0.32
It is my solution for the same problem Install TDM GCC x64. Install Anaconda x64. Open the Anaconda prompt Run conda update conda Run conda update –all Run conda install mingw libpython Install the latest version of Theano, pip install git+git://github.com/Theano/Theano.git Run pip install git+git://github.com/fchollet/keras.git
First, upgrade pip pip3 install –upgrade pip Then, update the setup tools: python3 -m pip install –upgrade setuptools At last, install grpcio using : pip3 install –no-cache-dir –force-reinstall -Iv grpcio==<version_number>
Ok, so the easiest method to create several plots is this: import matplotlib.pyplot as plt x=[[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]] y=[[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]] for i in range(len(x)): plt.figure() plt.plot(x[i],y[i]) # Show/save figure as desired. plt.show() # Can show all four figures at once by calling plt.show() here, outside the loop. #plt.show() Note that you need to create a figure every time … Read more
Or you can use the command line below from version 4.4.x. conda config –set proxy_servers.http http://id:pw@address:port conda config –set proxy_servers.https https://id:pw@address:port
You have mixed something up with your variables, you can subtract timedelta d from datetime.datetime.now() with no issue: import datetime tod = datetime.datetime.now() d = datetime.timedelta(days = 50) a = tod – d print(a) 2014-12-13 22:45:01.743172
If you specify the full path to the destination (not just the directory) then shutil.move will overwrite any existing file: shutil.move(os.path.join(src, filename), os.path.join(dst, filename))