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问题 I'm dealing with global variables in Python. The code should work fine, but there is a problem. I have to use global variable for instance of class Back . When I run the application it says that back is None which should be not true because the second line in setup() function - 'back = Back.Back()' # -*- coding: utf-8 -*- from flask import Flask from flask import request from flask import render_template import Search import Back app = Flask(__name__) global back back = None @app.route('/')

问题 I send you a question because I have a problem on python and I don't understand why. I created a function "mut1" to change the number inside a list (with a probability to 1/2) either in adding 1 or subtracting 1, except for 0 and 9: def mut1 (m): i=np.random.randint(1,3) j=np.random.randint(1,3) if i==1: if 0<m<9: if j==1: m=m+1 elif j==2: m=m-1 elif m==0: if j==1: m=1 if j==2: m=9 elif m==9: if j==1: m=0 if j==2: m=8 print m mut1 function well, for example, if I create a list P1: >>>p1=np

问题 I send you a question because I have a problem on python and I don't understand why. I created a function "mut1" to change the number inside a list (with a probability to 1/2) either in adding 1 or subtracting 1, except for 0 and 9: def mut1 (m): i=np.random.randint(1,3) j=np.random.randint(1,3) if i==1: if 0<m<9: if j==1: m=m+1 elif j==2: m=m-1 elif m==0: if j==1: m=1 if j==2: m=9 elif m==9: if j==1: m=0 if j==2: m=8 print m mut1 function well, for example, if I create a list P1: >>>p1=np

问题 I'm getting AttributeError: 'NoneType' object has no attribute 'encode' error when parsing out some XML patent inventor data. I'm trying to pull the first inventor plus their address infomation into a string as such below: inventor1 = first(doc.xpath('//applicants/applicant/addressbook/last-name/text()')) inventor2 = first(doc.xpath('//applicants/applicant/addressbook/first-name/text()')) inventor3 = first(doc.xpath('//applicants/applicant/addressbook/address/city/text()')) inventor4 = first

问题 from bs4 import BeautifulSoup import sys soup = BeautifulSoup(open(sys.argv[2]), 'html.parser') print(soup.prettify) if sys.argv[1] == "h": h2s = soup.find_all("h2") for h in h2s: print(h.string()) The first print statement (added as a test) works - so I know BS4 is working and everything. The second print statement throws: File "sp2gd.py", line 40, in <module> print(h.string()) TypeError: 'NoneType' object is not callable 回答1: BeautifulSoup's .string is a property, not a callable method, and

问题 I encountered the following problem when I reproduce the ESRGAN related program. libpng error: Read Error Traceback (most recent call last): File "/sda/ZTL/B/codes/train.py", line 173, in <module> main() File "/sda/ZTL/B/codes/train.py", line 97, in main for _, train_data in enumerate(train_loader): File "/root/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 637, in __next__ return self._process_next_batch(batch) File "/root/anaconda3/lib/python3.6/site-packages

问题 I encountered the following problem when I reproduce the ESRGAN related program. libpng error: Read Error Traceback (most recent call last): File "/sda/ZTL/B/codes/train.py", line 173, in <module> main() File "/sda/ZTL/B/codes/train.py", line 97, in main for _, train_data in enumerate(train_loader): File "/root/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 637, in __next__ return self._process_next_batch(batch) File "/root/anaconda3/lib/python3.6/site-packages

问题 In Python Pandas and Numpy, why is the comparison result different? from pandas import Series from numpy import NaN NaN is not equal to NaN >>> NaN == NaN False but NaN inside a list or tuple is >>> [NaN] == [NaN], (NaN,) == (NaN,) (True, True) While Series with NaN are not equal again: >>> Series([NaN]) == Series([NaN]) 0 False dtype: bool And None : >>> None == None, [None] == [None] (True, True) While >>> Series([None]) == Series([None]) 0 False dtype: bool This answer explains the reasons

问题 In Python Pandas and Numpy, why is the comparison result different? from pandas import Series from numpy import NaN NaN is not equal to NaN >>> NaN == NaN False but NaN inside a list or tuple is >>> [NaN] == [NaN], (NaN,) == (NaN,) (True, True) While Series with NaN are not equal again: >>> Series([NaN]) == Series([NaN]) 0 False dtype: bool And None : >>> None == None, [None] == [None] (True, True) While >>> Series([None]) == Series([None]) 0 False dtype: bool This answer explains the reasons

问题 In Python Pandas and Numpy, why is the comparison result different? from pandas import Series from numpy import NaN NaN is not equal to NaN >>> NaN == NaN False but NaN inside a list or tuple is >>> [NaN] == [NaN], (NaN,) == (NaN,) (True, True) While Series with NaN are not equal again: >>> Series([NaN]) == Series([NaN]) 0 False dtype: bool And None : >>> None == None, [None] == [None] (True, True) While >>> Series([None]) == Series([None]) 0 False dtype: bool This answer explains the reasons