whenever I try to do (from stl import mesh) I got this error: "No name 'mesh' in module 'stl' pylint(no-name-in-module)"
I tried to do this :
pip install stl
pip install numpy-stl
and is there any possible way to convert stl files into G-code using python?
Related
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 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 have installed spacepy using the following command (MacOS Mojave):
pip install git+https://github.com/spacepy/spacepy.git
But I keep getting this error while trying to from spacepy import pycdf:
Exception: Cannot load CDF C library; checked . Try 'os.environ["CDF_LIB"] = library_directory' before import.
I have tried following the directions from their website, but it seems like those directions are a bit outdated.
You can do something like:
import os
os.environ["CDF_LIB"] = "~/CDF/lib" # Give the path of the cdf library
# e.g. in this case the library is in your home directory.
Before doing:
from spacepy import pycdf
Source of the error can be found on this SpacePy website.
The cdf library is available here.
Basically, you need to set up the CDF_LIB (if pycdf has a trouble finding it) before importing the module. You can read the documentation here.
Can't find any command at http://docs.h5py.org/en/latest/high/file.html to do that.
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?