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Clash Royale CLAN TAG #URR8PPP How to import popper.js? (not with a CDN, installed with NPM) I am aware there is other similar questions such as this one. However mine is quite different. I would like to know how to import Popper.js using the import directive. So far I have this on my app.js (but it does not work yet) import app.js import * as popper from 'popper.js' window.popper = popper But I have to mangle every example I find on the Internet with popper. . Moreover this include takes two lines while the traditional writing window.popper = require('popper.js') takes only one line. popper. window.popper = require('popper.js') What is the correct way to import Popper.js and other similar JS libraries? By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service, privacy policy and cookie policy, and that your continued use of the website is subje...

Clash Royale CLAN TAG #URR8PPP Python 3 cant find my own module /database/frontend /database/backend Same file in same direct still cant import backend in front end I have tried setting the PYTHONPATH ; sys.append() method ; using from . Import backend but still cant figure it out PYTHONPATH sys.append() method from . Import backend Did you make some __init__.py files? – cricket_007 26 mins ago __init__.py By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service, privacy policy and cookie policy, and that your continued use of the website is subject to these policies.

Clash Royale CLAN TAG #URR8PPP Exported and imported DataFrames differ but should be the same I tried to import some data from an Excel file to a pandas DataFrame, convert it into a csv file and read it back in (need to do some further file based handling on that exported csv file later on, so that is a necessary step). For the sake of data integrity, exported and re-imported data should be the same. So, I compared the different DataFrames and encountered, that these are not the same, at least according to pandas' .equals() function. .equals() I thought this might be an issue related to string encoding when exporting and re-importing the data since I had to transfer char encoding etc. while file handling. However, I was able to reproduce similar behavior without any encoding-related issues as follows: import pandas as pd import numpy as np # https://stackoverflow.com/a/32752318 df1 = pd.DataFrame(np.random.randint(0, 10, size=(10, 4)), columns=list('ABCD')) df1.to_csv(...