How can I convert Binary .fits files to .csv files? - python-3.x

I have fits file containing numerical values of magnitudes of star clusters. I need to see them as a csv file. Any code to run in python to do the trick?
Note: Fits file is not an image file, it is a table file.

why not use fdump ?
fdump -- Convert the contents of a FITS table to ASCII format.
reference
https://heasarc.gsfc.nasa.gov/ftools/fhelp/fdump.txt

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How to append a .png file into .csv file in python 3?

I have generated a graph using matplot by importing data from my .csv file. Now I want to append that graph into the same .csv file. I am using python 3. Can anyone guide me how to do this?
A csv file is a text file. It consists of comma separated values. It cannot contain images.

Upload Microsoft Excel Workbook with Many Sheets into Azure ML Studio

I want to upload my Excel Workbook into Azure Machine Learning Studio. The reason is I have some data that I would like to join into my other .csv files to create a training data set.
When I upload my Excel, I don't get .xlsx, or .xls, but other extensions such as .csv, .txt etc..
This is how it looks,
I uploaded anyways and now, I am getting weird characters. How can I get excel workbook uploaded and get my sheets, so, I can join data and do, data preparation. Any suggestions?
You could save the workbook as a (set of) CSV file(s) and upload them separately.
A CSV file, a 'Comma Separated Values' file, is exactly that. A flat file with some values separated by a comma. If you load an Excel file it will mess up since there's way more information in an Excel file than just values separated by comma's. Have a look at File -> Save as -> Save as type where you can select 'CSV (comma delimited) (*.csv)'
Disclaimer: no, it's not always a comma...
In addition, the term "CSV" also denotes some closely related delimiter-separated formats that use different field delimiters. These include tab-separated values and space-separated values. A delimiter that is not present in the field data (such as tab) keeps the format parsing simple. These alternate delimiter-separated files are often even given a .csv extension despite the use of a non-comma field separator.
Edit
So apparently Excel files are supported: Supported data sources for Azure Machine Learning data preparation
Excel (.xls/.xlsx)
Read an Excel file one sheet at a time by specifying sheet name or number.
But also, only UTF-8 is supported: Import Data - Technical notes
Azure Machine Learning requires UTF-8 encoding. If the data you are importing uses a different encoding, or was exported from a data source that uses a different default encoding, various problems might appear in the text.

Extract data from a .vtk unstructured grid file and convert them into .txt or .csv files

Using the Paraview application, I would like to extract data from a .vtk unstructured grid file and convert this data into .txt or .csv files. In the file menu, I have tested Save Data but I obtain a .csv file with one column "Cell Type" containing only the value 9. How can I get the data in a .txt or .csv file ? My .vtk file contains 9 variables and for each variable, I have data at each time step.
Looks like your dataset contains only PointsData, not CellData. Make sure to Select :
"Point Association : Point"
when saving the data as a .csv file.

i want to convert sound to numbers

in audacity you can use sample data import which imports a .txt file with numbers in it and converts the numbers to a sound file. but I want to do the opposite I want to convert sound into numbers. is there a way to do that?
I believe the answer to your solution is here : http://manual.audacityteam.org/man/sample_data_export.html.
Defition:
Sample Data Export reads the values of successive samples from the selected audio and prints this data to a plain text, CSV or HTML file. Further information may be added as a "header" at the top of the file.
See also the companion tool Sample Data Import.

Why same data take more space in text file then excel file?

I have data around 100000 rows. If I stored this data in text file format, it takes more space than if I stored it in Excel file format.
Because internally in xslx file data are compressed. They are stored in XML format by later complete file is compressed.
This could be easily checked by changing .xslx extension to .zip and opening by any zip software including Windows Explorer - just double click on it.
So data inside your text file seems to have high compression ratio.

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