Save

Pandas dataframes are great for working with tabular data in python. Once you’re done with cleaning/manipulating/analyzing the data, you can save it to a range of different formats. For example, as a CSV or an Excel file. You can also save your dataframe as a JSON file. In this tutorial, we will look at how …

Writing a dataframe to a pickle file instead of a CSV file can be very helpful particularly if you want to preserve the state of the dataframe. If you are loading the pickle file back, it saves you time on data type transformations since the data type information is already saved in the pickle file. …

Excel files can be a great way of saving your tabular data particularly when you want to display it (and even perform some formatting to it) in a nice GUI like Microsoft Excel. In this tutorial, we’ll look at how to save a pandas dataframe to an excel .xlsx file. Note: The terms “excel file” …

Pandas dataframes are used to store and manipulate two-dimensional tabular data in python. After having performed your pre-processing or analysis with your data, you may want to save it as a separate CSV (Comma Separated Values) file for future use or reference. The pandas to_csv() function is used to save a dataframe as a CSV …