python-3.x

问题 Data in excel: a b a d 1 2 3 4 2 3 4 5 3 4 5 6 4 5 6 7 Code: df= pd.io.excel.read_excel(r"sample.xlsx",sheetname="Sheet1") df a b a.1 d 0 1 2 3 4 1 2 3 4 5 2 3 4 5 6 3 4 5 6 7 how to delete the column a.1 ? when pandas reads the data from excel it automatically changes the column name of 2nd a to a.1. I tried df.drop("a.1",index=1) , this does not work. I have a huge excel file which has duplicate names, and i am interested only in few of columns. 回答1: If you know the name of the column you

问题 I tried to do some argument modification on a decorator which decorates a function. The original code looks like @original_decorator(arg=some_object) def calculate(a, b): # complex business logic raise Exception() where original_decorator is responsible for exception handling. What I want to achieve is to do some temporary modification on some_object and restore it's property after function returned. And I've tried the following def replace_arg(arg, add_some_property): def decorator_wrapper

问题 I am setting up Visual Studio Code on my pc and am running into difficulties with the python environment I created and Visual Studio Code. However, when running some test code, I get an import error.. I installed Python 3.7.3 with miniconda to 'C:\Python37', and then created a clone of the base environment named 'sci' and installed some packages (numpy, pandas, matplotlib, scipy, scikit-learn) using cmd. I tested the install in cmd with commands as follows: conda activate sci python import

问题 I pytest, we declare the fixture scope (function, module, class, session) at the fixture definition. Is it possible to override that scope at the usage of it in a test? So that I can have a default function-scope fixture, but some tests which are using it use it as module-scope? My concrete scenario is that I'm using parametrized tests, but I want my fixture to be used once over all parameters. Otherwise, the fixture is good to have function scope for all other tests. 来源： https:/

问题 I pytest, we declare the fixture scope (function, module, class, session) at the fixture definition. Is it possible to override that scope at the usage of it in a test? So that I can have a default function-scope fixture, but some tests which are using it use it as module-scope? My concrete scenario is that I'm using parametrized tests, but I want my fixture to be used once over all parameters. Otherwise, the fixture is good to have function scope for all other tests. 来源： https:/

问题 It says: Stable-Baselines supports Tensorflow versions from 1.8.0 to 1.15.0, and does not work on Tensorflow versions 2.0.0 and above. So I tried to install "sudo pip3 install tensorflow==1.15.0" But I get the message: ERROR: Could not find a version that satisfies the requirement tensorflow==1.15.0 (from versions: 2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0) ERROR: No matching distribution found for tensorflow==1.15.0 I'm using: Ubuntu 20.04 LTS Python 3.8.2 pip 20.1.1 from .../python3.8

问题 I trained a supervised model in FastText using the Python interface and I'm getting weird results for precision and recall. First, I trained a model: model = fasttext.train_supervised("train.txt", wordNgrams=3, epoch=100, pretrainedVectors=pretrained_model) Then I get results for the test data: def print_results(N, p, r): print("N\t" + str(N)) print("P@{}\t{:.3f}".format(1, p)) print("R@{}\t{:.3f}".format(1, r)) print_results(*model.test('test.txt')) But the results are always odd, because

问题 The sample codes bellow retrieve all the runing procces and print them. They've bee written following the 3rd example here and final one from here. Problem is I cannot figure out why only the first one retrieves process sorted as desired. I think it is related to the lambda function construction. But the rightly running sample, the first one, seems to mix the local p variable of the for statement with the p.dict dictionary, making me get stuck. First Sample: import psutil procs = [] for p in

问题 I have few doc in .csv - 20 000 record or more. Basically it's easy - something like that: numer,produkt,date 202,produkt A its sad,20.04.2019 203,produkt A its sad,21.04.2019 204,produkt A its sad,22.04.2019 etc I want to print info: A "produkt A its sad" appears 6 times A "produkt B" appers 3 times A "produkt C" appers 2 times Base on another answer on stack overflow I wrote: import csv from collections import Counter with open ('base2.csv', encoding="utf8") as csv_file: csv_reader = csv

问题 I have few doc in .csv - 20 000 record or more. Basically it's easy - something like that: numer,produkt,date 202,produkt A its sad,20.04.2019 203,produkt A its sad,21.04.2019 204,produkt A its sad,22.04.2019 etc I want to print info: A "produkt A its sad" appears 6 times A "produkt B" appers 3 times A "produkt C" appers 2 times Base on another answer on stack overflow I wrote: import csv from collections import Counter with open ('base2.csv', encoding="utf8") as csv_file: csv_reader = csv