Is there a way to read a fixed widths file from clipboard to a dataframe in pandas/python? I have a datatable I c/p from an application and I am attempting to use an automation tool to load it directly into a jupyter notebook. I only know about pd.read_fwf which requires reading a text file. Is there a work around?
Thanks for your help!
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I have a particular spreadsheet which has point of sale data exported feom a sql database.
Im trying to migrate to a new point of sale system and si i need to copy this data that i exported into a csv file into another csv file which has a different format, for example different columns thatvi have to rearrange the original data into.
Im trto do this using python but im failing to find a way to automate this task.
Does anyone have any ideas or any videos on a similar project
Pandas seems like the python tool for you.
Open up the first CSV file with Pandas as a DataFrame, apply any modifications you want, and save as a new CSV file. There is A LOT of documentation and support for Pandas, so I'm sure you can find tutorials on how to do any kind of data reshaping that you want.
Apologies if this has been answered - I just spent the last hour or so looking for a specific method and was unable to find it.
I am getting data from a reporting program via keyboard emulation with pynput - the program has specific menus for copying data and selecting what is actually copied.
I have managed to get the data copied to the clipboard, and have then called openpyxl to load my selected workbook. What I can not figure out how to do is how to select a specific cell and then paste the data that I've already copied starting at that cell.
The copy parameters from the reporting program copy the data in a way that will paste into Excel properly (cell by cell) so I know that it will not try and paste all the data into one cell. I just can't determine the proper method to select the cell and paste it.
Thanks in advance for any help.
As a side note, I'm INCREDIBLY new to python - I am well versed in VBA but I am trying to branch out so I apologize if I've stated anything incorrectly.
Having the data already copied to the clipboard, you can use python pandas DataFrames to process it. Below is the method which accepts data copied from the clipboard and convert it into DataFrame.
pandas.read_clipboard(sep='\\s+', **kwargs)
Now you can select whichever column you want from the DataFrame and using the to_csv method, you can write to the Excel file.
DataFrame.to_csv()
Check out the documentation :
read_clipboard() - https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_clipboard.html
to_csv() - https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html
Sample Code :
import pandas as pd
data = pd.read_clipboard(sep='\\s+')
print(data)
We have a dataframe we are working it in a ipython notebook. Granted, if one could save a dataframe in such a way that the whole group could have access to it through their notebooks, would be ideal, and I'd love to know how to do that. However could you help with the following specific problem?
When we do df.to_csv("Csv file name") it appears that it is located in the exact same place as the files we placed in object storage to utilize in the ipython notebook. However, when one goes to Manage Files, it's nowhere to be found.
When one runs pd.DataFrame.to_csv(df), text of the csv file is apparently given. However when one copies that into a text editor (ex- Sublime text), saves it at a csv, and attempts to read it in to a dataframe, the expected dataframe is not yielded.
How does one export a dataframe to csv format, and then access it?
I'm not familiar with bluemix, but it sounds like you're trying to save a pandas dataframe in a way that all of your collaborators can access and it look the same way for everyone.
Maybe saving and reading from CSVs is messing up the formatting of your dataframe. Have you tried using pickling? Since pickling is based around python, it should give consistent results.
Try this:
import pandas as pd
pd.to_pickle(df, "/path/to/pickle/My_pickle")
and on the read side:
df_read = pd.read_pickle("/path/to/pickle/My_pickle")
My problem is rather simple : I have an Excel Sheet that does calculations and creates a graph based on the values of two cells in the sheet. I also have two lists of inputs in text files. I would like to loop through those text files, add the values to the excel sheet, refresh the sheet, and print the resulting graph to a pdf file or an excel file named something like 'input1 - input2.xlsx'.
My programming knowledge is limited, I am decent with Python and have looked into python libraries that work with excel such as openpyxl, however most of those don't seem to work for me for various reasons. Openpyxl deletes the graphs when opening an excel file; XlsxWriter can only write files, not read from them; and xlwings won't work for me.
Should I use python, which I'm familiar with, or would VBA work for this kind of problem? Have any of you ever done something of the sort?
Thanks in advance
As a more transitional approach to what m. wasowski wrote above, I'd suggest you do the following.
Install the pandas package, and see how easy it is to load a file using read_excel. Then, read 10 Minutes to Pandas, and manipulate the data.
You state that the Excel sheet is complex. In general, the more complex it is, this approach will eventually make it simpler. But you don't have to switch everything immediately. You can still do parts in Excel and parts in pandas.
I think you should consider win32Com for excel operation in python instead of Openpyxl,XlsxWriter.
you can read/write excel, create chart and format excel file using win32com without any limitation.
And creating chart you can consider matplotlib, in that after creating chart you can save it in pdf file also.
I would like to try and make a program which does the following, preferably in Python, but if it needs to be C# or other, that's OK.
Writes data to an excel spreadsheet
Makes Excel recalculate formulas etc. in the modified spreadsheet
Extracts the results back out
I have used things like openpyxl before, but this obviously can't do step 2. Is the a way of recalculating the spreadsheet without opening it in Excel? Any thoughts greatly appreciated.
Thanks,
Jack
You need some sort of UI automation with which you can control a UI application such as Excel. Excel probably exposes some COM interface that you should be able to use for what you need. Python has the PyWin32 library which you should install, after which you'll have the win32com module available.
See also:
Excel Python API
Automation Excel from Python
If you don't necessarily have to work with Excel specifically and just need to do spreadsheet using Python, you might want to look at http://manns.github.io/pyspread/.
you could you pandas for reading in the data, using python to recalculate and then write the new files.
For pandas it's something like:
#Import Excel file
xls = pd.ExcelFile('path_to_file' + '/' + 'file.xlsx')
xls.parse('nyc-condominium-dataset', index_col='property_id', na_values=['NA'])
so not difficult. Here the link to pandas.
Have fun!