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Export and Import Panda DataFrame to other formatsSaving panda DataFrame into a different file formats is very powerful and useful tool for further storage and presentation of these data. Save panda to CSV fileCSV is a common file for storage table data
Read CSV file to panda DataFrameReading is very easy as well. For reading, it is possible to specify the separator, and also it is possible to give format of digits – some use coma instead of dot as a decimal separator. For example sep = ';' - this parameter will use ; as a separator. In fact you can use any symbol as a separator
Saving to Microsoft Excel tablesMicrosoft Excel tables are very popular for data representation and for some analysis. Python can save panda DataFrame to Microsoft Excel tables
Saving to HTMLHTML is very popular format for presentation in the WEB. Panda DataFrame can be saved as HTML file.
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