view the details of a netcdf file in spyder using xarray - python

I open a NetCDF file using xarray xr.open_dataset in Spyder.
I would like to view the contents of the file, so I click on the file at the Variable Explorer of Spyder. It looks ugly and non-comprehensible like in this screenshot:
How could I view the contents of the file in a nice and clear way in Spyder, same as for example the Google Colab would do? Here is a screenshot of how Google Colab would show the contents of the same netcdf file:

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Is there a way to convert .ipynb or .py file to .do stata file?

We ran some regression models in python .py and .ipynb, however, we'd like to do convert this to .do file for users who only use Stata.
Is there a way to do this?
For the notebook file, this can be programmatically achieved with nbconvert, specifically by developing an Exporter that ports or closes the notebook source to Stata source. Alternatively, nbconvert has existing exporters that can convert a ipynb file to a .py file, whereby PyStata maybe can be used.

File not found when running a file in JupiterLab console

Every time when I try to run a file in the JupiterLab console I get the following message:
ERROR:root:File 'thing.py' not found.
In this case, my file is called thing.py and I try to run it with the trivial run thing.py command in the console. The code is running and it gives me correct results when executed in the console, but I wanted to have it saved, so I put it in a JupiterLab text file and changed the extension to .py instead of .txt. But I get the aforementioned message regardless of which file I try to run. I am new to JupiterLab and admit that I might have missed something important. Every help is much appreciated.
If you're running Jupyterlab you should be able:
to create a new file & paste in your commands
Rename that file to "thing.py"
And then open a console in the same Jupyterlab instance and run that file. Notice that you can see "thing.py" in the file explorer on the left:
Alternatively, you can use the %load magic command in a notebook to dynamically load the code into a notebook's cell.
You might want to understand exactly what a Jupyter Lab file is, and what a Jupyter Lab file is not. The Jupyter Notebooks have the extension, .ipynb.
So anyway, the Jupyter Notebooks are not saved or formatted with python extensions. There are no Jupyter Notebooks or Jupyter Labs ending with the .py extension. That means Jupyter will not recognize an extension having .py, or .txt or .R or etc.... Jupyter opens, reads, and saves files having the .ipynb extension.
Jupyter Notebooks are an open document format based on JSON.
Jupyter can export in a number of different formats. Under the File tab, is the Export feature. The last time I looked there were about 20 different export formats. But there isn't a python or .py export format. A Jupyter file can also be Downloaded. Also under the File tab is the Download feature. This will download a standard text formatted JSON file. JSON files are mostly unreadable unless you've spent years coding JSON.
So there's not much purpose in downloading the Jupyter file unless you are working on a remote server and cannot save your work at that site. And it makes much more sense to save and copy the Jupyter file in its native Jupyter format - that means having the extension, .ipynb . Then just open and use that file on another PC.
Hopefully this should clarify why Jupyter won't open any .py or .txt files.

How to Upload a File Using Pandas in Python

I'm having a problem uploading a file ( the file is called "kickstarter1.csv" it is in the image that I attached) using Pandas in python. In the bottom of the picture I attached, it is saying that the file does not exist. I found out a way to view the full path of my file which is located at the bottom of the finder window ( it is in the image I attached). How do I code the full path into my pandas code? I'm using Anaconda Navigator ( I'm not sure if that is relevant).
provide the complete path of your CSV file while reading it through pandas as
name_you_want = pd.read_csv('path/file_name.csv')
or go to the specific folder using cd command on notebook and then read the CSV file.

Using not uploaded file in jupyter notebook

Is it possible to use not uploaded files for example images in your jupyter notebook or is there a script for uploading files into your jupyter notebook? I have done some research but didn't find anything.
For sure! Like an usual python script. Let's say you want to open a file named "file.txt" and read its content.
with open("the/path/of/file.txt", "r") as file:
text = file.read()
Now an image using cv2 named picture.jpg
image = cv2.imread("the/path/of/the/image/picture.png)

How to re-import a jupyter html file?

A coworker sent a jupyter notebook converted into html format. I want to edit it, how can I open the html in my jupyter environment?
This is possibly a dublicate of other Question, you might also ask your college to send you the original file, or open the html in your browser and copy the code into a new notebook
You cannot open it directly. It needs to be converted back into an executable .ipynb Jupyter file.
Take a look at this code example to do the conversion:
File-conversion of HTML-published Jupyter Notebook to Executable Jupyter.ipynb file

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