TLDR: Uploading an existing excel file to a pandas DataFrame using df = pd.read_excel(file.xlsx). Currently unable to find any way to get the format (in terms of the excel sheet, i.e. General, Number, Currency, etc.) from the DataFrame df. Does anyone have any suggestions?
Associated Topics: I know this is possible in PHP and C#, but I would prefer to stay in python for the simplicity.
You can set a style really easily in pandas, but I can't find any documentation which shows how to get a style for a particular item in the DataFrame.
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Consider I have a huge excel sheet, with multiple columns and entries. However, there exists a particular column (COLUMN A) containing boolean values 0s and 1s. Now I wish to split my parent excel sheet into 2 sheets, based on the values of the COLUMN A. I already know that this can be done using VBA codes. However, I wanna try this on python.
My idea is that we can iterate through the said column values, and if a condition is satisfied, pick up the whole row and write it in a new sheet.
I am learning the language, can use numpy and pandas a bit to create linear regression models and the like. I'd like to work on this 'personal-project'. Would be glad if anyone would help me with this, provide a few hints or something to start with. Thank you.
How I would go about it:
Read the full excel sheet into a pandas dataframe
df = pd.from_excel("file_name.xlsx")
Filter the dataframe by values in that columns
df1 = df[df["COLUMN A"]==1]
df0 = df[df["COLUMN A"]==0]
Read those new dataframes to a new excel workbook, or new excel sheet on an exisiting workbook, using the pandas ExcelWriter: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.ExcelWriter.html
Don't forget to handle missing data in column A, if there is any.
I am just a student, so perhaps there are more efficient ways to do this, but I use pandas quite a bit in my undergraduate research and this is what I would do. Best of luck you :)
I have an excel file with a lot of sheets (100+). Each sheet is independant. I would like to know if the data in a specific sheet has been altered since it last was opened. At the moment, I have a solution based on a for loop on all the relevant cells and calculate a checksum from there. If it is different, then the sheet has been changed. The problem is that I need to access a lot of cells and python is notoriously slow at that kind of task.
My question is: would you people have a better solution than my very naive one that would be more efficient?
I am using pyopenxl, but I could use another library for this specific task but it must be a python library.
The data is not of a single kind: there is a mix of numbers and strings in each sheet. But every sheet is formatted with the same pattern. (i.e. always the same data type at a given coordinate)
I am currently looking for a way to automate a search for cells containing text in excel using python, then printing to a new excel sheet.
My background in coding is very limited but I have done something similar in Python some odd years ago, finding text matching one cell and printing it to another sheet. However, this requires finding information from several cells at once in a large dataset. From my limited skillset I am unable to tell if this is possible.
pandas.read_excel can do this. Check pandas official documentation
Does anyone knows how can I insert a dataframe into an excel in a desired position ?
For example, I would like to start my dataframe into the cell "V78"
there is startrow and startcol argument in the .to_excel() method
df.to_excel('excel.xls', startrow=78, startcol=24)
I have a solution which may or may not fit your requirements.
I would not directly import it into an existing Excel file which may contain valuable data and furthermore keeping the files separate may be of use one day.
You could simply save the dataframe as an Excel file;
df.to_excel('df.xls')
And in the Excel file that you want to insert it into create an object of type file and link the two that way. See here.
Personally keeping them separate seems better as once two files become one there is no going back. You could also have multiple files this way for easy comparisons, without fiddling row/column numbers!
Hope was of some help!
I want to create a "presentation ready" excel document with embedded pandas DataFrames and additional data and formatting
A typical document will include some titles and meta data, several Data Frames with sum row\column for each data frame.
The DataFrame itself should be formatted
The best thing I found was this which explains how to use pandas with XlsxWriter.
The main problem is that there's no apparent method to get the exact location of the embedded DataFrame to add the summary row below (the shape of the DataFrame is a good estimate, but it might no be exact when rendering complex DataFrames.
If there's a solution that relies on some kind of template, and not hard coding it would be even better.