![]() ![]() You can convert a list of lists to a Pandas DataFrame that provides you with powerful capabilities such as the to_csv() method. Have a look at the specification to learn about advanced modifications. You can customize the CSV writer in its constructor (e.g., by modifying the delimiter from a comma ',' to a whitespace ' ' character). You now pass a list of lists to the writerows() method of the CSV writer that takes care of converting the list of lists to a CSV format. Next, you pass this file object to the constructor of the CSV writer that implements some additional helper method-and effectively wraps the file object providing you with new CSV-specific functionality such as the writerows() method. Now, you can write content to the file object f. In the code, you first open the file using Python’s standard open() command. With open('file.csv', 'w', newline='') as f: ![]() This is the most customizable of all four methods. You can convert a list of lists to a CSV file in Python easily-by using the csv library. Simply click the “Run” button and find the generated CSV files in the “Files” tab.ĭo you want to develop the skills of a well-rounded Python professional-while getting paid in the process? Become a Python freelancer and order your book Leaving the Rat Race with Python on Amazon ( Kindle/Print)! My preference is method 2 ( Pandas) because it’s simplest to use and most robust for different input types (numerical or textual).īefore we dive into these methods in more detail, feel free to play with them in our interactive code shell. Python: Use a pure Python implementation that doesn’t require any library by using the Python file I/O functionality.NumPy: Import the NumPy library, create a NumPy array, and write the output to a CSV file using the numpy.savetxt('file.csv', array, delimiter=',') method.Pandas: Import the pandas library, create a Pandas DataFrame, and write the DataFrame to a file using the DataFrame method DataFrame.to_csv('file.csv').CSV: Import the csv module in Python, create a csv writer object, and write the list of lists to the file in using the writerows() method on the writer object.Solution: There are four simple ways to convert a list of lists to a CSV file in Python. Your out file should look like this: # file.csv Your goal is to write the content of the list of lists into a comma-separated-values (CSV) file format. hr_df2.to_csv('hr.Problem: How to convert a list of lists to a csv file?Įxample: Given is a list of list-for example salary data of employees in a given company: salary = , 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 # Transpose the data and add column names 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 ![]() with open('my_file.csv', 'w') as my_file: 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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