What is the difference between json.load() and json.loads() functions
Yes, s
stands for string. The json.loads
function does not take the file path, but the file contents as a string. Look at the documentation.
What is the difference between json.dumps and json.load?
dumps
takes an object and produces a string:
>>> a = {'foo': 3}
>>> json.dumps(a)
'{"foo": 3}'
load
would take a file-like object, read the data from that object, and use that string to create an object:
with open('file.json') as fh:
a = json.load(fh)
Note that dump
and load
convert between files and objects, while dumps
and loads
convert between strings and objects. You can think of the s
-less functions as wrappers around the s
functions:
def dump(obj, fh):
fh.write(dumps(obj))
def load(fh):
return loads(fh.read())
what is the difference between `json.loads()` and `.apply(json.loads)`?
The issue is that your credits
variable is a Pandas DataFrame
and so credits['cast']
is a Series
). The json.loads
function doesn't know how to deal with data types from pandas
, so you get an error when you do json.loads(credits['cast'])
.
The Series
type however has an apply
method that accepts a function to be called on each value it contains. That's why credits['cast'].apply(json.loads)
works, it passes json.loads
as the argument to apply
.
Difference between url.json() and json.loads()
The .json
is just a shortcut of json.loads()
when the response is a json.
print(json.loads(output))
is not working because you need to get the body of the request, i think it is
print(json.loads(output.text))
Python: Handling newlines in json.load() vs json.loads()
json.load()
reads from a file descriptor and json.loads()
reads from a string.
Within your file, the \n
is properly encoded as a newline character and does not appear in the string as two characters, but as the correct blank character you know.
But within a string, if you don't double escape the \\n
then the loader thinks it is a control character. But newline is not a control sequence for JSON (newline is in fact a character like any other).
By doubling the backslash you actually get a real string with \n
in it, and only then will Python transform the \n
into a newline char.
Difference between a python dictionary object and what json.loads return
The preferred way of validating/checking a python object's type is isintance()
isinstance(resp_json, type(my_dict))
I suspect however, that the misconception here is another.
As I pointed out in my comment, json.loads()
returns a dictionary, iff a string representing syntactically correct JSON is passed. Therefor the type dict
is correct, because this is python's built in way of representing key-value information in a similar way to how JS/JSON does.
If you want to know, whether they are the same object, i.e. stored in the same place in memory, you can use
resp_json is my_dict
Judging by your question, however I suspect that what you are really interested in, is the equivalence of the contents.
resp_json == mydict
should give you this. I can't really immagine another scenario, which would mattter.
What is the difference between json.JSONDecoder().decode() and json.loads()
json.loads()
essentially creates a json.JSONDecoder()
instance and calls decode
on it. As such your first line is exactly the same thing as the second line. See the json.loads()
source code.
The module offers you flexibility; a simple function API or a full OO API that you can subclass if needed.
What's the difference between JSON.load and JSON.parse methods of Ruby lib?
JSON#parse
parses a JSON string into a Ruby Hash.
JSON.parse('{"name": "Some Name"}') # => {"name" => "Some Name"}
JSON#load
takes either a string or IO (file etc) and converts that to Ruby Hash/Array
JSON.load File.new("names.json") # => Reads the JSON inside the file and results in a Ruby Object.
JSON.load '{"name": "Some Name"}' # Works just like #parse
In fact, it converts any object that responds to a #read
method. For example:
class A
def initialize
@a = '{"name": "Some Name"}'
end
def read
@a
end
end
JSON.load(A.new) # => {"name" => "Some Name"}
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