python-3.x

问题 I'm trying to sort a json list from another list. example: jsonList = [{'id': 'das', 'name': 'something'}, {'id': 'rtn', 'name': 'Something Else'}, {'id': 'ddsn', 'name': 'Something ElseElse'}] orderList = ['rtn', 'ddsn', 'das'] goodList = someFunction(jsonList, orderList ) I need the output to be the json list sorted by the id: goodList = [{'id': 'rtn', 'name': 'Something Else'}, {'id': 'ddsn', 'name': 'Something ElseElse'}, {'id': 'das', 'name': 'something'}] 回答1: goodList = sorted(jsonList

问题 I'm trying to sort a json list from another list. example: jsonList = [{'id': 'das', 'name': 'something'}, {'id': 'rtn', 'name': 'Something Else'}, {'id': 'ddsn', 'name': 'Something ElseElse'}] orderList = ['rtn', 'ddsn', 'das'] goodList = someFunction(jsonList, orderList ) I need the output to be the json list sorted by the id: goodList = [{'id': 'rtn', 'name': 'Something Else'}, {'id': 'ddsn', 'name': 'Something ElseElse'}, {'id': 'das', 'name': 'something'}] 回答1: goodList = sorted(jsonList

问题 I am having a hard time understanding how to use NetworkX's rescale_layout. The documentation says: pos (numpy array) – positions to be scaled. Each row is a position which is not the standard "position dictionary" that the rest of NetworkX uses for plotting. I have tried to use NetworkX's to_numpy_array on the "pos dict" to no success, and the output of to_numpy_array is a Graph adjacency matrix which doesn't mesh with the requirement of rescale_layout 's Each position is one row of the

问题 I am having a hard time understanding how to use NetworkX's rescale_layout. The documentation says: pos (numpy array) – positions to be scaled. Each row is a position which is not the standard "position dictionary" that the rest of NetworkX uses for plotting. I have tried to use NetworkX's to_numpy_array on the "pos dict" to no success, and the output of to_numpy_array is a Graph adjacency matrix which doesn't mesh with the requirement of rescale_layout 's Each position is one row of the

问题 Firstly, I have implemented a simple VGG16 network for image classification. model = keras.applications.vgg16.VGG16(include_top = False, weights = None, input_shape = (32,32,3), pooling = 'max', classes = 10) Whose input shape is 32 x 32 . Now, I am trying to implement a patch-based neural network . The main idea is, from the input image, extract 4 image patch like this image, and train the extracted patch image( resizing to 32 x 32 as it is input shape of our model) finally, combine their

问题 for some reasons pip search stopped working: error using pip search (pip search stopped working) ,github pip search issue error messagge pointed me to pypi-simple (pypi-simple is a client library for the Python Simple Repository API) link here using pypi-simple to search for a package: as an example PDBx !/usr/bin/env python3 -*- coding: utf-8 -*- """ Created on Thu Nov 11 17:40:03 2020 @author: Pietro """ from pypi_simple import PyPISimple def simple(): package=input('\npackage to be checked

问题 for some reasons pip search stopped working: error using pip search (pip search stopped working) ,github pip search issue error messagge pointed me to pypi-simple (pypi-simple is a client library for the Python Simple Repository API) link here using pypi-simple to search for a package: as an example PDBx !/usr/bin/env python3 -*- coding: utf-8 -*- """ Created on Thu Nov 11 17:40:03 2020 @author: Pietro """ from pypi_simple import PyPISimple def simple(): package=input('\npackage to be checked

问题 I'm copying some code from Leetcode to paste in Github, I use pyperclip to paste and copy into clipboard using Selenium. Everything is saved as a string but when i use driver.send_keys(pyperclip.paste()) this is what happens I've verified that the issue is not Leetcode or Github by copying from Leetcode on my own and then pasting it to Github. The issue is pyperclip because when I paste this is the format However the issue clearly gets amplified when I use driver.send_keys() because as you

问题 I want to change the following two lines of my code: clip, sample_rate = librosa.load(file_name) clip = librosa.resample(clip, sample_rate, 2000) I want to load the .wav file using wavfile.read() instead of using librosa.load() and then resample it using some technique other than the libroa.resample() . Any idea how to do it? 回答1: So here is the answer folks! The below solution worked for me. from scipy.io import wavfile import scipy.signal as sps from io import BytesIO new_rate = 2000 # Read

问题 What happened I am trying to create custom object in kubernetes using kubernetes python client, but i am unable to do so, it would be helpful if someone can explain what i am doing wrong here Traceback (most recent call last): File "/home/talha/PycharmProjects/doosra/tasks/cluster_tasks.py", line 585, in <module> main() File "/home/talha/PycharmProjects/doosra/tasks/cluster_tasks.py", line 574, in main resource = api.get_namespaced_custom_object( File "/home/talha/PycharmProjects/venv/lib