dateutil | Useful extensions to the standard Python datetime features | Date Time Utils library
kandi X-RAY | dateutil Summary
kandi X-RAY | dateutil Summary
Useful extensions to the standard Python datetime features
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Top functions reviewed by kandi - BETA
- Return an iterator over the datetimes
- Append a value to the date
- Return the weekday for the given weekday name
- Rebuild the mask for a given year and month
- Resolve datetime to datetime
- Checks if a naive datetime exists
- Return a new rrule with new rules
- Parse an rfc
- Parse a time offset
- Convert a registry key into a dictionary
- Get the metadata for the zoneinfo file
- Calculate the wind time for the given datetime
- The dst offset of the given tt
- Rebuild a tar archive
- Return the contents of the README rst file
- Decorator for invalidating the cache
- Handle the BYDAY clause
- Append the value to the date
- Return True if the given datetime is ambiguous
- Get the TimezoneInfo for the given name
- Convert a datetime to a timezone
- Read a tz file
- Convert time to microseconds
- Convert a datetime to a given epoch
- Return the transition for the given year
- Set tzinfo to tzinfo
dateutil Key Features
dateutil Examples and Code Snippets
Lines of Code : 1036License : Permissive (BSD-3-Clause)
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.. _whatsnew_0230.enhancements.round-trippable_json:
JSON read/write round-trippable with ``orient='table'``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
A ``DataFrame`` can now be written to and subsequently read back via JSON while pr >>> from datetime import *; from dateutil.relativedelta import *
>>> import calendar
>>> NOW = datetime(2003, 9, 17, 20, 54, 47, 282310)
>>> TODAY = date(2003, 9, 17)
>>> NOW+relativedelta(months=+1)
datet # ------- YOUR CODE -------------#
from dateutil import rrule
from datetime import datetime
MLK_DAY = rrule.rrule(
dtstart=datetime(1986, 1, 20), # First celebration
freq=rrule.YEARLY, # Occurs once per year
bymonth import tkinter as tk # PEP8: `import *` is not preferred
from tkinter import ttk
from tkinter.scrolledtext import ScrolledText
import requests
import requests_cache
from bs4 import BeautifulSoup
import pandas as pd
import re
import jso
FROM openjdk:8
RUN apt-get update && apt-get install -y python3 python3-pip
RUN apt-get -y install python3-pydot python3-pydot-ng graphviz
RUN apt-get -y install python3-tk
RUN apt-get -y install zip unzip
RUN apt-get -y installrrule.rrule(rrule.DAILY, dtstart=dt_start, interval=183).after(datetime.today())
from datetime import date
from dateutil.relativedelta import relativedelta
six_months = date.today() + relativedelta(months=+6)
>>> date.today()
datetime.date(2022, 3, 31)
>>> six_months
datetimename: Python3.9
channels:
- defaults
dependencies:
- numpy
- pandas
- matplotlib
- pip
- python=3.9.*
- python-dateutil
- pytz
- scikit-learn
- scipy
- statsmodels
- xlrd
- openpyxl
- lxml
- html5lib
python -m pip install --user cython
python -m pip install --user cytoolz
python -m pip install --user eth-brownie
Community Discussions
Trending Discussions on dateutil
QUESTION
I'm trying to install eth-brownie using 'pipx install eth-brownie' but I get an error saying
...ANSWER
Answered 2022-Jan-02 at 09:59I used pip install eth-brownie and it worked fine, I didnt need to downgrade. Im new to this maybe I could be wrong but it worked fine with me.
QUESTION
I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:
...ANSWER
Answered 2022-Feb-07 at 09:19It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason
QUESTION
I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.
But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.
So I did the following:
- write a simple
meta.yamlso I could use conda-build to buildjivelocally - build jive with
conda build . - I looked at the tarball that was produced and it does indeed contain the
jivesource as expected - In my other project, add jive to the dependencies in
environment.yml, and add 'local' to the list of channels. - create a conda env using that environment.yml.
When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.)
How can I fix the build/install so that this works?
Here is the meta.yaml, which lives in the jive project top level directory:
ANSWER
Answered 2022-Feb-05 at 04:16The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.
I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).
Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").
Try adjusting the meta.yaml to something like
QUESTION
I am encountering a segfault when I make a reticulated call to
matplotlib.pyplot.plot().
Steps to produce error:
Create a
...Dockerfilewith the contents:
ANSWER
Answered 2022-Jan-26 at 16:45The problem is that the R binary in rocker/r-ver:latest is compiled against a different BLAS library to the one which the numpy on PyPI is compiled against.
This was explained to me by Tomasz Kalinowski here.
The solution is to ensure numpy uses the same BLAS libraries as rocker/r-ver's R binary does. An easy way to ensure this is to compile numpy from source. This compilation could be performed at either image build-time or container runtime.
To compile numpy at container runtime we can leave our Dockerfile as is, and add a call to system2() after our initial call to reticulate::virtualenv_create(). Altering test.R to become:
QUESTION
I am trying to dockerize my Flask API. As soon as I try to start my image I receive the message:
...ANSWER
Answered 2021-Nov-02 at 20:53Your issue is, I think, with your requirements file. In that you include bson as a dependency, which is also included in the pymongo library. See this question. Removing it seems to solve the issue:
QUESTION
I am working with a simple ML model with streamlit. It runs fine on my local machine inside conda environment, but it shows Error installing requirements when I try to deploy it on share.streamlit.io.
The error message is the following:
ANSWER
Answered 2021-Dec-25 at 14:42Streamlit share runs the app in a linux environment meaning there is no pywin32 because this is for windows.
Delete the pywin32 from the requirements file and also the pywinpty==1.1.6 for the same reason.
After deleting these requirements re-deploy your app and it will work.
QUESTION
I'm working on CI for my Python + Django project. I have to use the python:3.9-alpine image. A weird error is popping in my CI pipelines:
ANSWER
Answered 2021-Dec-05 at 17:35What is the reason of my error?
Did you read my previous answer to a similar question of yours? The last part warns about certain combinations of Alpine + Python and this seems to be happening right now.
I tried to replace psycopg2 with psycopg2-binary but have the same error
The problem here might be a python library that has dependencies on gcc, which is not shipped on alpine by default.
Try replacing this:
QUESTION
I am working on CI/CD for my python/django project in gitlab.
I have an error -- Gitlab CI: Failed building wheel for opencv-python
Full gitlab ci log -- https://pastebin.com/pZdZ6ws2
I have an error on the build_pip stage:
gitlab-ci.yaml
ANSWER
Answered 2021-Dec-04 at 23:03In your logs, we can see the following error:
QUESTION
this is my first question on Stackoverflow. I hope my question is clear, otherwise let me know and don't hesitate to ask me more details.
I'm trying to package a streamlit app for a personal project. I'm developing under linux but I have to deploy the app on Windows. I want it to be a standalone executable, which once run opens the browser tab to display the app, and exits when the tab is closed. I would like to use pynsist library to package the app (already used for another project and it worked fine).
I followed the suggestion found in this discussion. It worked fine on ubuntu, and apparently also on Windows after packaging the app with pynsist. "Apparently" because the executable run, but no browser tab was open to display the app.
Here is some snippets of my code.
Project structure
...ANSWER
Answered 2021-Nov-25 at 09:40EDIT: a streamlit example was added to the examples of pynsist repo. There you can find a minimal and refined example of a working application (which also includes plotly).
ORIGINAL ANSWER
Finally I get it to work. In my last attempt, I made a mistake by setting --server.headless=false, while it must be true instead. I found that an additional flag to the streamlit run command is needed: --global.developmentMode=false. This make the deploy work, even if I could not find any reference to this configuration in the streamlit configurations.
Working code follows.
Project structure
QUESTION
I am trying to install the Tensorflow Object Detection API on a Google Colab and the part that installs the API, shown below, takes a very long time to execute (in excess of one hour) and eventually fails to install.
...ANSWER
Answered 2021-Nov-19 at 00:16I have solved this problem with
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dateutil
You can use dateutil 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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