We start with the imports:
import dicom
import os
import numpy
The
pydicompackage can be installed throughpipand can be found in https://pypi.python.org/pypi/pydicom/
| import os, sys | |
| import subprocess | |
| def printToPrnter(name, city): | |
| data = "^XA" \ | |
| "^FO200,30^ADN,30,20^FB400,3,0,C^FD"+name+"^FS" \ | |
| "^FO200,80^ADN,30,20^FB400,3,0,C^FD"+city+"^FS" \ | |
| "^XZ" | |
| try: |
| REST_FRAMEWORK = { | |
| 'DEFAULT_FILTER_BACKENDS': [ | |
| 'django_filters.rest_framework.DjangoFilterBackend' | |
| ], | |
| 'DEFAULT_AUTHENTICATION_CLASSES': [ | |
| 'rest_framework_simplejwt.authentication.JWTAuthentication', | |
| ], | |
| } |
| # CONDA | |
| # create env | |
| conda config --add channels conda-forge | |
| conda config --set channel_priority strict | |
| conda create --strict-channel-priority -n jupyter | |
| conda activate jupyter | |
| # jupyter, notebook and old notebook extensions | |
| conda install -y jupyterlab |
| from sqlalchemy import (String, | |
| Integer, | |
| engine_from_config, | |
| Column) | |
| from sqlalchemy.ext.declarative import declarative_base | |
| from sqlalchemy.orm import sessionmaker | |
| Base_1 = declarative_base() | |
| Base_2 = declarative_base() |
We start with the imports:
import dicom
import os
import numpy
The
pydicompackage can be installed throughpipand can be found in https://pypi.python.org/pypi/pydicom/
| <?xml version="1.0" encoding="utf-8"?> | |
| <DieCutLabel Version="8.0" Units="twips"> | |
| <PaperOrientation>Portrait</PaperOrientation> | |
| <Id>Small30332</Id> | |
| <PaperName>30332 1 in x 1 in</PaperName> | |
| <DrawCommands> | |
| <RoundRectangle X="0" Y="0" Width="1440" Height="1440" Rx="180" Ry="180" /> | |
| </DrawCommands> | |
| <ObjectInfo> | |
| <TextObject> |