tablib | Python Module for Tabular Datasets | CSV Processing library
kandi X-RAY | tablib Summary
kandi X-RAY | tablib Summary
Tablib is a format-agnostic tabular dataset library, written in Python. Note that tablib purposefully excludes XML support. It always will. (Note: This is a joke. Pull requests are welcome.). Tablib documentation is graciously hosted on It is also available in the docs directory of the source distribution.
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Top functions reviewed by kandi - BETA
- Exports a dataset
- Return the maximum length of a string
- Compute the column widths for each column
- Calculate the length of each column
- Create a new dbf file from a dataset
- Add field definition
- Flush the contents to the file
- Create a header object from a stream
- Lookup the field for a given type code
- Add fields to the record
- Register a field
- Export dataset to table
- Create a Document from a Dbf
- Export a single dataset
- Encode the value
- Create a FD from a string
- Imports data from an Excel sheet
- Load a file from a stream
- Imports data from a workbook
- Add fields to the record
- Export a dataset
- Set the rows from a dictionary
- Register the builtins
- Export datasheet to xlsx file
- Add a field definition
- Create a demo file
- Load data from stream
tablib Key Features
tablib Examples and Code Snippets
sudo pip3 install pbalancing
from pbalancing import parameter_balancing_core
parameter_balancing_core.parameter_balancing_wrapper('model.xml')
python3 -m pbalancing.parameter_balancing_core model.xml
python3 -m pbalancing.parameter_balancing_cor
☤ The Basics
------------
We know how to write SQL, so let's send some to our database:
.. code:: python
import records
db = records.Database('postgres://...')
rows = db.query('select * from active_users') # or db.query_file('sqls/a
>>> print(rows.dataset)
username|active|name |user_email |timezone
--------|------|----------|-----------------|--------------------------
model-t |True |Henry Ford|model-t@gmail.com|2016-02-06 22:28:23.894202
...
>>> pr
Community Discussions
Trending Discussions on tablib
QUESTION
I'm pretty new to docker and, although I've read lots of articles, tutorials and watched YouTube videos, I'm still finding that my image size is in excess of 1 GB when the alpine image for Python is only about 25 MB (if I'm reading this correctly!).
I'm trying to work out how to make it smaller (if in fact it needs to be).
[Note: I've been following tutorials to create what I have below. Most of it makes sense .. but some of it feels like voodoo]
Here is my Dockerfile:
...ANSWER
Answered 2021-Aug-05 at 01:39welcome to Docker! It can be quite the thing to wrap one's head around, especially when beginning, but you're asking really valid questions that are all pertinent
Reducing Size How toA great place to start is Docker's own Dockerfile best practices page:
https://docs.docker.com/develop/develop-images/dockerfile_best-practices/
They explain neatly how your each directve (COPY
, RUN
, ENV
, etc) all create additional layers, increasing your containers size. Importantly, they show how to reduce your image size by minimising the different directives. They key to alot of minimisation is chaining commands in RUN
statements with the use of &&
.
Something else I note in your Dockerfile is one specific line:
QUESTION
I would like to know if it's possible to import data but with a table that does not have a column named id
My import are doing fine with every table that contained a column id but with the one that does not contained a column id it does not work. I got a row_error saying :
Error: 'id'
Model that can't be imported
...ANSWER
Answered 2021-Jul-07 at 10:08Django provide a import_id_fields
so we can specify fields that we wants to import. Without it, it always look for a field ID
.
The solution was to emcapsulate my class with resources.ModelResource
and specify import_id_fields
.
QUESTION
pom.xml
...ANSWER
Answered 2021-Jun-20 at 11:35As already remarked in the comments, one of your dependencies (activiti-engine
) has an alternative implementation of the EL Specification: JUEL.
This is, in my opinion, an error in activiti-engine
's POM: the project should not depend on a specific EL implementation, just the EL API.
You can correct it by explicitly excluding the JUEL dependencies from your project:
QUESTION
I recently added a package to my project and did a pip freeze > requirements.txt
afterwards. I then did pip install -r requirements.txt
to my local and it added a sidebar.
I did a pip install -r requirements.txt
to the server as well and it produced a different result. It's sidebar was messed up.
I tried removing the sidebar by doing this answer but it did not get removed.
...ANSWER
Answered 2021-May-31 at 03:01First of all, this navbar is added by Django 3.1+
and not by any other 3rd part packages.
Copy & Pasting from Django 3.X admin showing all models in a new navbar,
From the django-3.1 release notes,
The admin now has a sidebar on larger screens for easier navigation. It is enabled by default but can be disabled by using a custom AdminSite and setting
AdminSite.enable_nav_sidebar
toFalse
.
So, this is a feature that added in Django 3.1 and can be removed by settings AdminSite.enable_nav_sidebar = False
(see How to customize AdminSite
class)
You don't have to edit any CSS or HTML file to fix the styling, because Django comes with a new set of CSS and HTML, which usually fix the issue. (That is, it is not recommended to alter the styling file only for this)
If that doesn't work for you, it might be because of your browser cache.
If you are using Chrome,
QUESTION
I am trying to deploy my Python app on Heroku, but have been unsuccessful. It seems that a problem is occurring with the PyICU
package, which I'm unsure how to correct. I've confirmed that this is the only issue with my deployment; when I remove PyICU
from my requirements file, everything works. But of course my site can't work without it.
Can anyone please guide me in how to correctly install this package on Heroku? I've tried various methods, including downloading the .whl file and then adding that to my requirements file, but then I get another error:
ERROR: PyICU-2.7.3-cp38-cp38m-win_amd64.whl is not a supported wheel on this platform.
I don't understand why - it's the correct Python and os version.
Here are the relevant excerpts from the build log:
...ANSWER
Answered 2021-May-26 at 15:55Why are you using the windows wheel (PyICU-2.7.3-cp38-cp38m-win_amd64.whl
)? You probably need a manylinux
wheel.
You can also try pyicu-binary
package.
QUESTION
I am new in Django. I am trying to use Django import-export to import excel sheet into MySQL dB table. I followed the documentation on import. while trying to Test the data import it gives error.
Here are my views:
...ANSWER
Answered 2021-Apr-05 at 11:35Please can you run again with raise_errors=True
and post back with the error message. You can call change your code as follows.
QUESTION
I am using django-filter and django-import-export. I can build an HTML table and filter it using django-filter just fine, but I want the user to be able to export the filtered table, not the whole table. (That is, this is not through the admin feature.)
I suspect the issue is I have one view for the list itself, but the export is in another view, and I can't seem to pass the filtered queryset to the export view, and I can't figure out how to do the export and filter on the same view. They're both GET requests. I feel like I'm missing something very very basic here.
In my app/views.py:
...ANSWER
Answered 2021-Mar-19 at 09:32I think this line looks incorrect:
QUESTION
I am trying to Dockerizing Django with Postgres, Gunicorn, and Nginx via the tutorial on
https://testdriven.io/blog/dockerizing-django-with-postgres-gunicorn-and-nginx/
I am was getting an error while docker is in step 7 i.e,
Step 7/23 : RUN pip wheel --no-cache-dir --no-deps --wheel-dir /usr/src/app/wheels -r requirements.txt
I was able to update the Dockerfile.prod to conquer this error, but i am getting another error in step 21
Step 21/26 : RUN pip install --no-cache /wheels/*
This is my updated Dockerfile.prod
...ANSWER
Answered 2021-Jan-29 at 11:47Thanks to @DawidGacek advice, I have added the dependencies for both the containers, and now it works fine. This is the final working Dockerfile.prod [Note: I have just commented out the flake8 lint checker, If you need the same just uncomment it]
QUESTION
How do i filter the CustomerSectionResource models? in my case all data save in the database export in the excel, I just want to select certain data to export in excel. i want to filter just like this
Ex.
...ANSWER
Answered 2020-Nov-09 at 12:16from tablib import Dataset
from .resources import FmCustomerSectionResource
def import_Section(request):
if request.method == 'POST':
file_format = request.POST['file-format']
company = FmCustomerUsers.objects.filter(user=request.user.id)
product = FmCustomerSection.objects.filter(
fmCustomerID__company_name__in=company.values_list('fmCustomerID__company_name'))
product_resource = FmCustomerSectionResource()
dataset = product_resource .exclude(product)
new_city = request.FILES['importData']
if file_format == 'XLS':
imported_data = dataset.load(new_city.read(), format='xls')
result = product_resource.import_data(dataset, dry_run=True)
elif file_format == 'CSV':
imported_data = dataset.load(new_city.read(), format='csv')
# Testing data import
result = product_resource.import_data(dataset, dry_run=True)
if not result.has_errors():
# Import now
product_resource.import_data(dataset, dry_run=False)
return redirect('Section')
def export_Section(request):
if request.method == 'POST':
# Get selected option from form
file_format = request.POST['importData']
product_resource = FmCustomerSectionResource()
dataset = product_resource.export()
if file_format == 'CSV':
response = HttpResponse(dataset.csv, content_type='text/csv')
response['Content-Disposition'] = 'attachment; filename="exported_data.csv"'
return response
elif file_format == 'XLS':
response = HttpResponse(dataset.xls, content_type='application/xls')
response['Content-Disposition'] = 'attachment; filename="exported_data.xls"'
return response
return redirect('Section')
QUESTION
I'm trying to create a view to import a csv using drf and django-import-export.
My example (I'm doing baby steps and debugging to learn):
...ANSWER
Answered 2020-Oct-23 at 18:54Starting with baby steps is a great idea. I would suggest get a standalone script working first so that you can check the file can be read and imported.
If you can set breakpoints and step into the django-import-export source, this will save you a lot of time in understanding what's going on.
A sample test function (based on the example app):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install tablib
You can use tablib 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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