![]() Note: You can use the following snippet to write your lists without the header when exporting the Pandas DataFrame. Hr_df2 = pd.DataFrame(hr_dict, columns = ) Hr_dict = dict (office = my_list, employees = my_list) Here’s an alternative method, replace the lower part of the code in the section above with this snippet: Method 2: using a dictionary to create the DataFrame We can also use the fdopen () method from the os module to read a file. Python has a built-in open () function that returns a file-like object which acts as an iterator. # Transpose the data and add column names Convert file data to list Python By Malhar Lathkar Here you will learn alternative ways of getting file data and convert it to a list. We first create a Pandas DataFrame from our data, and then export the data to a csv file located in our filesystem Method 1: list of lists to DataFrame # import the Pandas library into your development workspace Json.dump(my_dicts, my_file) Python lists to csv with PandasĪlthough the Python standard library provides useful methods to write list of objects to csv files, the Pandas 3rd party library provides some very elegant methods to accomplish this task. With open('my_dict.txt', 'w') as my_file: dict1 = dict (Atlanta = 100, Boston = 120) We’ll use the json module to transfer the dictionary list. Here’s the output: Export list of dictionaries to a file My_file.write("\n".format(offices,employees)) ![]() ![]() With open('my_file.csv', 'w') as my_file: We’ll now use the zip function to stitch the two lists, and then import them as needed into the csv file. One list has offices and the second has the corresponding number of employees. We would like now to import multiple lists into the file. Print('File not available') Write multiple lists to a file with Python Here’s the code to use: from pathlib import Path In this example, we’ll first check whether our file exists in the operating system, and then append the list values to the file. Print('File created') Append Python list to text / csv file Convert them from one object type to another. with open('my_file.csv', 'w') as my_file: This script will demonstrate how to: Create a whole bunch of Python objects (lists, arrays, data frames, etc) Export them to your hard drive in various formats (Excel spreadsheets, text files, JSON files, etc) Import them back into Python. ![]() We’ll start by creating the new file using the file open method, then loop through the list and write the list elements each in a different line. Offices = Save list to a new text / csv file
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