What is dump and dumps in python?
One notable difference in Python 2 is that if you're using Show
(emphasis mine). Note that it may still be a Thus you cannot use its return value to save the structure into file without checking which format was returned and possibly playing with This of course is not valid concern in Python 3 any more, since there is no more this 8-bit/Unicode confusion. As for If you are coming up to read this article, perhaps you have come up with a situation where you need to store your data into a structured format which could easily be transported between web apps and servers. JSON stands for Java Script Object Notation which as said above is a data format that is really very light weight and is pretty similar with Python Dictionary objects. They are really very useful since the web apps and APIs could easily parse through them and quickly transport the data between apps and services. In this article we will use the python “json” package to convert a python object into a JSON object. Before diving deep into the blog, clear the basics of python; First Step Towards Python. Syntax of JSON Objects
Installing PackageThe first thing we need to do is install the “json” package in python. The “json” package allows us to convert python objects into JSON objects. Following is the syntax to install the “json” package in the python environment.
Please note that the method of converting python objects into JSON is called serialization. It is because when we convert a python object into a JSON (and vice versa), it is a process of storing the data into a series of bytes. There are four different methods in the python json module to work with python objects and JSON altogether. Those four are mentioned as below:
When your computer is processing lots of information of various data types, it needs a data dump to process that information. Therefore, we have dumps() and dump() methods under python. (Also read: Data Types in Python) Following is the table of conversion for python objects into equivalent JSON objects. It's pretty much straight forward, but needed to be shown.
Now, we will move towards some examples where we use the methods mentioned above to convert a python object into an equivalent JSON object and vise-versa. (Must catch: Python to Represent Output) Example 1 : JSON.dumps()The json.dumps() method allows us to convert a python object into an equivalent JSON string object. This is really useful while feeding information to the APIs which needs to be parsed or printed. See an example below:
Here, we have created a python dictionary and used json.dumps() method to convert it into a JSON string object. See the output as shown below: Output of python to JSON conversion We can use other functions too, in order to amend the code such that it can be sorted ascendingly and indented.
See now the updated output as shown below: Python object to JSON ordered and with indentations Here, you could see how the output is sorted in ascending order where the key “Age” and equivalent value appears first rather than the key “Name” and value associated with it. This is because we used the sort_keys = True argument which allows us to sort the result in ascending order. Besides, you could also see how the output is now indented with each line as we have used the indent = 3 argument within the code. Also, apart from all this, how could we make sure that the conversion (python object to JSON string) has actually happened? Well, we can always use the type() function to know the class of the object. See the code below for a better realization.
Now, if you see the output, it should look something as shown below: Checking class of the JSON object You can easily see that the entire object my_details, which was a python dictionary before, is now converted into a JSON object with class type string. (Read also: Word embedding in NLP using Python) Example 2 : JSON.dump()In addition to json.dumps(), json.dump() method allows us to convert the given python object into an equivalent JSON object and then stores the result in a text file. We are going to use the same Example as above for this one
Here, we have used the file input output operation to create a new JSON file with the name “Data_File.json”. This file will be used to store a python dictionary named my_details as a JSON string, when we hit the json.dump() method. Also, there is nothing we could show you as an output in the python console. However, on the working directory of your python, you could see a json file with name Data_File. See the screenshot below: Data_File is created on working python directory If you open the JSON file into any text editor, you will see a JSON string with the data equivalent to my_details under it as shown below. Output of the Data_File looks like this (Recommended blog: Python Essentials for Voice Control: Part 1) Decoding of JSON data into Python ObjectIn order to convert (decode) JSON strings into equivalent python objects, we have json.loads() and jso.load() methods, which we have described earlier at the start of this article itself. Decoding look as below:
We are now going towards the examples which will help us to decode the JSON data into equivalent python objects. Example 3 : JSON.loads()The json.loads() method allows you to convert a JSON string into an equivalent python object (Specifically a python dictionary). See the code below:
Here, we have a json object named my_details_json. We can have used the type() function to check whether it is actually a json string or not. After that, we have used the json.loads() method to decode the json object into an equivalent python dictionary and checked it’s type as well (it should be dict). See the output as shown below: Conversion of JSON string into an equivalent Python Dictionary Example 4 : JSON.load()Now, we will see an example where we use the json.load() methods to convert/decode a JSON file into a python object (dictionary). Remember, in example 2, we have created a JSON file named Data_File.json. We will use the same file as a source into this example and apply the json.load() method to decode it into a python dictionary. See the example below:
Here, we are using the python built-in I/O open function to read the json file name Data_File and then using json.load() to convert the data from that file into a relevant python object (i.e. a dictionary). See the output below: Converting a data from json file object into a python object using json.load() method Well, we will end this article here with following summary points (Recommended blog: How Do We Implement Beautiful Soup For Web Scraping?) Summary
(Must read: 20 Python interview questions)
What are dumps in Python?The dump() method is used when the Python objects have to be stored in a file. The dumps() is used when the objects are required to be in string format and is used for parsing, printing, etc, . The dump() needs the json file name in which the output has to be stored as an argument.
What is dumps and loads in Python?dump() - This method allows you to convert a python object into JSON and additionally allows you to store the information into a file (text file) json. loads() - Deserializes a JSON object to a standard python object. json.
What is JSON dumps in Python?dumps() json. dumps() function converts a Python object into a json string. Syntax: json.dumps(obj, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)
What is the dump method?If your database is large or takes too long to pack, dumping a database is the preferred backup method. This method creates a dump ( . dmp ) file containing only the database metadata, instead of producing a pack file that contains the file system data as well as the metadata.
|