Can't find any command at http://docs.h5py.org/en/latest/high/file.html to do that.
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Goal: I have .Key file for preprocessing data file for LS Dyna simulation. From that .Key file, I want to extract certain node numbers lying under certain Part ID (PID).
In order to achieve above goal, I got to know that there is a one python library named 'qd' (https://qd-cae.github.io/qd-cae-python/build/html/qd_cae_dyna_KeyFile.html) which helps to manipulate the key files and extract certain lines according to the Keyword.
However, when I wrote from qd.cae.dyna import *, I got an error ModuleNotFoundError: from qd.cae.dyna import *. Therefore, I tried to install qd in python using pip pip install qd, but I got an error and at the end, this library could not be installed.
My question is:
(1) How can we install qd library in python through Anaconda?
(2) Is there any available python tools or library to read and extract some parameters from the Key files?
I am having issue reading this .save file using joblib.load. It is because the file is using older version of sklearn. I want to update the content of this file and reload it using joblib instead of downgrading my sklearn. The question basically is how to read and edit the content of this file.
I am workin on a report generator, and I used pip install python-docx and
import docx.
Now I have made a new docx file, edited it but I want to save it in pdf instead of docx file. And the program script will be converted into EXE file.
Please help.
(pip install python-docx)
from docx import Document
doc=Document()
doc.add_heading('Report', 0)
# Now to save file, I know to save in docx,
# But, I want to save in pdf
# I can not finish the program and then manually convert
# As this script will run as an
# **EXE**
doc.save('report.docx')
I tried saving like --> doc.save('report.pdf') But, it did not work.
I fould some thing here: https://medium.com/analytics-vidhya/3-methods-to-convert-docx-files-into-pdf-files-using-python-b03bd6a56f45 I pesonally think the easiest way to do it is the docx2pdf module.
You can use the python package docx2pdf*:
pip install docx2pdf
Then call the convert function:
convert("report.docx", "report.pdf") after saving doc.save('report.docx'). Creating the docx file before converting it is mandatory.
unless you work on a Linux Machine as it requires Microsoft Word to be installed.
Try using the msoffice2pdf library using Microsoft Office or LibreOffice installed in the environment.
https://pypi.org/project/msoffice2pdf/
I am trying to import a 3D file created by TexGen in python. I would like to have a dask array at the end for further analysis. My file is in ".igs" format. I can open it with FreeCAD and export it in a variety of formats. I just don't know which format to use and which library in python is more helpful.
I found this question (Import CAD object in Python and store as array) and tried installing FreeCAD package in python but I was unsuccessful. I get a conflict error (incompatible packages) which I can't solve.
I found this question (3D CAD to OpenGL) and installed PyOpenGL but I don't know how to use OpenGL to import STL file.
Any suggestions?
You can have a look at the opencascade python module
OpenCascade is the library FreeCAD is based on, it can also import/export .stp (and I guess .igs) files and transform it into a mesh.
I want to extract a netCDF data file using Python. I installed Numpy, netCDF4-Python and h5py for this purpose. But, it gives an error message
ImportError: numpy.core.multiarray failed to import
What's wrong with that? Or, is there any easier way to extract netCDF files in python?