Python save file format

Save Object to File in Python

Python’s pickle is a built-in module for serializing and de-serializing objects (data structures). It transforms an object into a sequence of bytes stored in memory or disk for later use in the same state.

We can save complete data structures such as lists, dictionaries, and custom classes. So, first, we imported the pickle module. Then we created a class Student() and an object std1 from it.

The with statement in Python is a control structure that simplifies code by handling exceptions and reducing the amount of code. It creates a context manager object responsible for managing the context block.

• Entering this context block requires opening a file or allocating memory.
• While exiting requires other activities like closing a file or deallocating memory.

We used the with statement to open the file using the open(file_name, ‘wb’) function that takes the filename and mode as arguments.

The pickle module provides the dump() function that converts a Python data structure into a byte stream format to write it to a binary file on the disk. For example, we used this method to convert std1 to binary stream format and wrote it to the file std1.pkl .

Use dill.dump() Function

Suppose we already have a Python library called dill installed. If we don’t have it, we can install it with pip install dill . To save an object to a file using the dill module:

• Use the open() function wrapped in the with statement to open the file.
• Use the dump.dill() function to save the object to the file.

Dill is an extension of Python’s pickle module, which we discussed while explaining the code snippet for using the pickle.dump() function. It stores complex data structures in an efficient format so different systems can use them in distributed applications such as web services.

It can also store multiple objects in a single file using its multi-pickling mode. We imported the module. Then, after successfully creating the object std1 from the class Student() , we used the with statement to open the file std1.pkl using the open() function.

The dump() method converts the object into binary format and saves them locally. It can create backups of important data or send data between two programs. For example, we used the dump() method to store the object std1 in the file std1.pkl .

Further reading:

Save Image to File in Python

Write Binary File in Python

Use pandas.to_pickle() Function

To save an object to a file using the pandas.to_pickle() function:

• Use the with context manager with the open() function to open the file.
• Use the pandas.to_pickle() function to store the object in a binary file.

Python’s pandas is an open-source module that provides high-performance data structures and analysis tools.

The primary purpose of this library is to provide efficient manipulation, filtering, reshaping, and merging operations on numerical tables or data frames. It aims to be the fundamental high-level building block for Python’s practical, real-world data analysis.

Once we created the object std1 from the class Student() , we opened the file std1.pkl using the built-in open() function wrapped in the with statement, which we discussed in the code section using the pickle.dump() function.

The pandas library provides a to_pickle() function that converts an object into a series of bytes and saves it in a file for future reference and use, enabling users to transfer data between applications.

It uses the pickle module internally, which simplifies the process by abstracting away the code necessary for properly serializing an object before writing it out to disk. For example, we used this method to write the std1 object to the file std1.pkl .

That’s all about how to save Object to File in Python.

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Saving Text, JSON, and CSV to a File in Python

Saving data to a file is one of the most common programming tasks you may come across in your developer life.

Generally, programs take some input and produce some output. There are numerous cases in which we’d want to persist these results. We may find ourselves saving data to a file for later processing — from webpages we browse, simple dumps of tabular data we use for reports, machine learning and training or logging during the application runtime — we rely on applications writing to files rather than doing it manually.

Python allows us to save files of various types without having to use third-party libraries. In this article, we’ll dive into saving the most common file formats in Python.

Opening and Closing a File

Opening a File

The contents of a file can be accessed when it’s opened, and it’s no longer available for reading and writing after it’s been closed.

Opening a file is simple in Python:

my_data_file = open('data.txt', 'w') 

When opening a file you’ll need the filename — a string that could be a relative or absolute path. The second argument is the mode, this determines the actions you can do with the open file.

Here are some of the commonly used ones:

• r — (default mode) open the file for reading
• w — open the file for writing, overwriting the content if the file already exists with data
• x — creates a new file, failing if it exists
• a — open the file for writing, appending new data at the end of the file’s contents if it already exists
• b — write binary data to files instead of the default text data
• + — allow reading and writing to a mode

Let’s say you wanted to write to a file and then read it after, your mode should be ‘w+’. If you wanted to write and then read from a file, without deleting the previous contents then you’ll use ‘a+’.

Closing a File

Closing a file is even easier in Python:

You simply need to call the close method on the file object. It’s important to close the file after you are finished using it, and there are many good reasons to do so:

• Open files take up space in RAM
• Lowers chance of data corruption as it’s no longer accessible
• There’s a limit of files your OS can have open

For small scripts, these aren’t pressing concerns, and some Python implementations will actually automatically close files for you, but for large programs don’t leave closing your files to chance and make sure to free up the used resources.

Using the «with» Keyword

Closing a file can be easily forgotten, we’re human after all. Lucky for us, Python has a mechanism to use a file and automatically close it when we’re done.

To do this, we simply need to use the with keyword:

with open('data.txt', 'w') as my_data_file: # TODO: write data to the file # After leaving the above block of code, the file is closed 

The file will be open for all the code that’s indented after using the with keyword, marked as the # TODO comment. Once that block of code is complete, the file will be automatically closed.

This is the recommended way to open and write to a file as you don’t have to manually close it to free up resources and it offers a failsafe mechanism to keep your mind on the more important aspects of programming.

Saving a Text File

Now that we know the best way to access a file, let’s get straight into writing data.

Fortunately, Python makes this straightforward as well:

with open('do_re_mi.txt', 'w') as f: f.write('Doe, a deer, a female deer\n') f.write('Ray, a drop of golden sun\n') 

The write() function takes a string and puts that content into the file stream. Although we don’t store it, the write() function returns the number of characters it just entered i.e. the length of the input string.

Note: Notice the inclusion of the newline character, \n . It’s used to write to a next line in the file, otherwise, all the text would be added as a single line.

Saving Multiple Lines at Once

With the write() function we can take one string and put it into a file. What if we wanted to write multiple lines at once?

We can use the writelines() function to put data in a sequence (like a list or tuple) and into a file:

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with open('browsers.txt', 'w') as f: web_browsers = ['Firefox\n', 'Chrome\n', 'Edge\n'] f.writelines(web_browsers) 

As before, if we want the data to appear in new lines we include the newline character at the end of each string.

If you’d like to skip the step of manually entering the newline character after each item in the list, it’s easy to automate it:

with open('browsers.txt', 'w') as f: web_browsers = ['Firefox\n', 'Chrome\n', 'Edge\n'] f.writelines("%s\n" % line for line in web_browsers) 

Note: The input for writelines() must be a flat sequence of strings or bytes — no numbers, objects or nested sequences like a list within a list are allowed.

If you’re interested in reading more about lists and tuples, we already have an article dedicated to them — Lists vs Tuples in Python.

Saving a CSV File

CSV (Comma Separated Values) files are commonly used for storing tabular data. Because of its popularity, Python has some built-in methods to make writing files of that type easier:

import csv weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'] sales = ['10', '8', '19', '12', '25'] with open('sales.csv', 'w') as csv_file: csv_writer = csv.writer(csv_file, delimiter=',') csv_writer.writerow(weekdays) csv_writer.writerow(sales) 

We first need to import the csv library to get their helper functions. We open the file as we’re accustomed to but instead of writing content on the csv_file object, we create a new object called csv_writer .

This object provides us with the writerow() method which allows us to put all the row’s data in the file in one go.

If you’d like to learn more about using CSV files in Python in more detail, you can read more here: Reading and Writing CSV Files in Python.

Saving a JSON File

JSON is another popular format for storing data, and just like with CSVs, Python has made it dead simple to write your dictionary data into JSON files:

import json my_details = < 'name': 'John Doe', 'age': 29 > with open('personal.json', 'w') as json_file: json.dump(my_details, json_file) 

We do need to import the json library and open the file. To actually write the data to the file, we just call the dump() function, giving it our data dictionary and the file object.

If you’d like to know more about using JSON files in Python, you can more from this article: Reading and Writing JSON to a File in Python.

Conclusion

Saving files can come in handy in many kinds of programs we write. To write a file in Python, we first need to open the file and make sure we close it later.

It’s best to use the with keyword so files are automatically closed when we’re done writing to them.

We can use the write() method to put the contents of a string into a file or use writelines() if we have a sequence of text to put into the file.

For CSV and JSON data, we can use special functions that Python provides to write data to a file once the file is open.

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