configparser | 保留注释行的配置文件解析模块 -
kandi X-RAY | configparser Summary
kandi X-RAY | configparser Summary
configparser
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Top functions reviewed by kandi - BETA
- Parse the section header .
- Interpolate values .
- Get an option from a section .
- Return a list of options .
- Write the configuration to a file .
- Set an option value .
- Return a list of all keys in this map .
- Get a key from the map .
- Sets the message .
- Get the message
configparser Key Features
configparser Examples and Code Snippets
Community Discussions
Trending Discussions on configparser
QUESTION
I have a config ini file which looks like below:
...ANSWER
Answered 2022-Mar-31 at 11:27This becomes trivial if you use something like pydantic:
QUESTION
I have a pyspark job available on GCP Dataproc to be triggered on airflow as shown below:
...ANSWER
Answered 2022-Mar-28 at 08:18You have to pass a Sequence[str]
. If you check DataprocSubmitJobOperator you will see that the params job
implements a class google.cloud.dataproc_v1.types.Job.
QUESTION
I'm trying to study the neural-network-and-deep-learning (http://neuralnetworksanddeeplearning.com/chap1.html). Using the updated version for Python 3 by MichalDanielDobrzanski (https://github.com/MichalDanielDobrzanski/DeepLearningPython). Tried to run it in my command console and it gives an error below. I've tried uninstalling and reinstalling setuptools, theano, and numpy but none have worked thus far. Any help is very appreciated!!
Here's the full error log:
...ANSWER
Answered 2022-Feb-17 at 14:12I had the same issue and solved it downgrading numpy to version 1.20.3 by:
QUESTION
I have this configuration file (test_conf.txt):
...ANSWER
Answered 2022-Mar-17 at 03:18ok from a related question on the right of the question here I could solve the problem with
QUESTION
Background - I have created a Python script that has many dependencies; the script calls an API, returns some data as a JSON, before its saved in a pandas df
and then written to an .xlsx file using xlsxwriter
.
Issue - the script is written in Jupyter Lab and therefore is currently a .ipynb
file. I am trying to turn this script into the most effective executional script, which I can run daily (using Windows Scheduler
). In JupyterLab, I have tried to File --> Save and Export Notebook As...'. and that works if the script is simple, like input("Type something")
.
However if I try and save a more complex script with many dependencies in the same way, the 'executable file' will open then quickly close, without giving me the opportunity to see what went wrong (the script runs fine in JupyterLab in .ipbny
format) I should say that 'complex script' has a progress bar and other elements which should print to the console for an extended period of time.
Help - what is the correct way to make larger python scripts (with lots of dependencies) executable? And are there additional steps taken, when dealing with large scripts? Here are the dependencies that my code replies on -
...ANSWER
Answered 2022-Mar-15 at 23:50The easiest way I can think of is converting it to .py just using pyinstaller. That is the traditional way of doing it.
QUESTION
Here is my config.ini:
...ANSWER
Answered 2022-Feb-20 at 06:46A recursive function could be good for this:
QUESTION
I want my .ini
file to have an option to specify a certain character as a splitter for the parameters which is then handled with Python. That is:
ANSWER
Answered 2022-Feb-06 at 12:57If you enforce a convention that the value in the ini file will always be:
QUESTION
i am new to python and i am yet to learn the concept of oop,classes with python. i thought i understood functions. But i am facing issue while calling functions from different py file. Below code shows all my fuctions described in main.py i want to split main.py and get 2 other py files as data extraction.py and data processing.py i understand that it can be done using classes, but can we do it without using classes as well? i divided the code in two other files but i am getting error(please find my attached screenshot) please explain me what i can do here!
main.py
...ANSWER
Answered 2022-Jan-27 at 13:42Move the existing functions(ex. write_to_csv) to different file for example 'utility_functions.py'. Import it in main.py using from utility_functions import write_to_csv
. Now you can use the function 'write_to_csv' in main.py as
write_to_csv(all_keys)
Edit
In the main.py
file
use from data_extraction import data_extraction
instead of import data_extraction
In data_extraction.py
file
Remove lines
from main import baseurl from main import all_keys
It will throw variable undefined error, you can fix it by passing the variable in the function call.
QUESTION
I'm trying to deploy a cloud function with Python 3.9 but when I run
...ANSWER
Answered 2021-Dec-10 at 16:03In the thread you linked, there are several solutions, and an interesting one seems to be that a package named fitz
conflicts with PyMuPDF
, as they both use the same top name inside a script (being fitz
). I see both libraries are in your requirements.txt
, so this could be the cause of this error. I tested adding both libraries inside a Cloud Function and received the same error, which was resolved after removing fitz 0.0.1.dev2
from the file, and using only PyMuPDF
.
You can see another example of this behavior from this GitHub issue.
QUESTION
I am trying to use python-decouple for sensitive data in my project but When i use decouple.config for SECRET_KEY it raises an error
error
...ANSWER
Answered 2021-Sep-05 at 08:10you should have a env file like below
.env
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Install configparser
You can use configparser like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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