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How do I use python pandas to read an already opened excel sheet

Assuming I have an excel sheet already open, make some changes in the file and use pd.read_excel to create a dataframe based on that sheet, I understand that the dataframe will only reflect the data in the last saved version of the excel file. I would have to save the sheet first in order for pandas dataframe to take into account the change.
Is there anyway for pandas or other python packages to read an opened excel file and be able to refresh its data real time (without saving or closing the file)?

Have you tried using mitosheet package? It doesn't answer your question directly, but it allows you working on pandas dataframes as you would do in excel sheets. In this way, you may edit the data on the fly as in excel and still get a pandas dataframe as a result (meanwhile generating the code to perform the same operations with python). Does this help?

There is no way to do this. The table is not saved to disk, so pandas can not read it from disk.

Be careful not to over-engineer, that being said:
Depending on your use case, if this is really needed, I could theoretically imagine a Robotic Process Automation like e.g. BluePrism, UiPath or PowerAutomate loading live data from Excel into a Python environment with a pandas DataFrame continuously and then changing it.
This use case would have to be a really important process though, otherwise licensing RPA is not worth it here.

df = pd.read_excel("path")
In variable explorer you can see the data if you run the program in SPYDER ide

Writing from Excel sheet to a table

I am looking to write certain columns of data from an excel sheet to a HTML table. Not looking to write specific/fixed cells into the table always, need to do this based on conditions. For example, if I have a table with columns Name/Age/Occupation, I would like to make an HTML table using just columns Name and Occupation. Also, within Name, I would only like to write the names starting with 'N' onto the table and corresponding Occupation. The Excel sheet dynamically changes with new data everytime. Essentially, I would not want to write specific cells or range of cells into the table but only the data based on conditions I set. Any suggestions using python/html/jquery or other methods are welcome.

First you should edit the Excel file, export it as a .csv file and then work on the file using a program language of your preference. It would be much much more complicated if you try to work on the .xls or .xlsx files. I recommend using python with its library panda that works on csv files.

For parsing excel files, I've had good success using openpyxl
A Python library to read/write Excel 2010 xlsx/xlsm files

Using Python (and DataNitro) to copy cells from a particular sheet in one Excel workbook, to a particular sheet in another Excel workbook

I do a lot of data analysis in Excel and have been exploring Python and DataNitro to streamline my workflow. I specifically am trying to copy certain cells from one sheet in one Excel workbook, and paste them into certain cells in a certain sheet in another Excel workbook.
I have been storing ("copying") using CellRange (DataNitro), but am not sure how to copy the stored contents into a particular sheet, in another Excel workbook. Any clue how I may go about this? Also, is it possible to make the range defined for a CellRange conditional on certain cell properties?
I would really appreciate any help! Thank you, all.

Here's an example of copying:
data = CellRange("A1:A10").value
active_wkbk("Book2.xlsx")
CellRange("A1:A10").value = data
You can make the range conditional using regular Python logic (if statements, etc.).

Use Pyxl to read Excel spreadsheet data up to a certain row

I created an Excel spreadsheet using Pandas and xlsxwriter, which has all the data in the right rows and columns. However, the formatting in xlsxwriter is pretty basic, so I want to solve this problem by writing my Pandas spreadsheet on top of a template spreadsheet with Pyxl.
First, however, I need to get Pyxl to only import data up to the first blank row, and to get rid of the column headings. This way I could write my Excel data from the xlsxwriter output to the template.
I have no clue how to go about this and can't find it here or in the docs. Any ideas?
How about if I want to read data from the first column after the first blank column? (I can think of a workaround for this, but it would help if I knew how)

To be honest I'd be tempted to suggest you use openpyxl all the way if there is something that xlsxwriter doesn't do, though I think that it's formatting options are pretty extensive. The most recent version of openpyxl is as fast as xlsxwriter if lxml is installed.
However, it's worth noting that Pandas has tended to ship with an older version of openpyxl because we changed the style API.
Otherwise you can use max_row to get the highest row but this won't check for an empty row.

creating a table in excel using python

I am using xlwt to write to cells in excel from python. I am wondering if there is some way to select the written cells and insert a table. I have references to the cell range. Please help out.

I m not aware of xlwt. But you can try it using xlsxwriter.
https://xlsxwriter.readthedocs.org/working_with_tables.html