convert csv to json python

) # sort and indent two characters for output The following output is displayed: { "versions": [ { "id": "v2.3", "links": [ { "href": "http://controller:9292/v2/", "rel": "self" } ], "status": "CURRENT" }, { "id": "v2.2", "links": [ { "href": "http://controller:9292/v2/", "rel": "self" } ], "status": "SUPPORTED" }, { "id": "v2.1", "links": [ { "href": "http://controller:9292/v2/", "rel": "self" } ], "status": "SUPPORTED" },

file to its original file nameOpening a file using the with open method will automatically close without having to manually close the file;f = open (' note . txt ') # opened file is called a file handle or file object for lines in F: # Direct Loop file object, each time the loop is to go to each row of dataprint ("line", line)2 Collection, JSON moduleSet Effect:1, natural to go heavy2. Relationship test-intersection, difference set, set, inverse dif

mode.Pickle.load (file)Note: Reads a string from file and reconstructs it as the original Python object.File: Class files object with Read () and ReadLine () interfaces.A Simple Code #使用pickle模块将数据对象保存到文件 import Pickle data1 = {' A ': [1, 2.0, 3, 4+6j], ' C ': None} Br>selfref_list = [1, 2, 3] selfref_ List.append (selfref_list) output = open (' Data.pkl ', ' WB ') # Pickle Dictionary using protocol 0. pickle.dump (data1, Outp

SceneExample 1dic=Str ({' Age':' -'})f= Open ('text','W') F.write (DIC) F.close () Example 2f= Open ('text','R') Data=F.read ()Print(Eval (Data) [' Age'])When we store the memory data object in a file, it is impossible to store the Dictionary object directly, it must be converted to the string format str (), when we read the dictionary format object stored in the file through the F.read () method, the reading is also a string that must be converted with the Eval () method, which is very Lou.Two

Python processes JSON data and generates a bar chart, pythonjson I. JSON data preparation First, prepare a piece of JSON data. There are a total of 3560 pieces of data. The structure of each piece of content is as follows: This example mainly analyzes the distribution of time zones in the Field tz (timezone. 2.

One, JSON Pickle Shelve ModuleJSON, used to convert between string and Python data typesPickle for conversion between Python-specific types and Python data typesThe JSON module provides four functions: dumps, dump, loads, loadTh

Both load and loads are implemented as "deserialization", the difference being in Python (for example):Loads the python built-in data into a string for memory objectssuch as using Json.dumps serialized object D_json=json.dumps ({' A ': 1, ' B ': 2}), where D_json is a string ' {"B": 2, "a": 1} 'D=json.loads (D_json) #{B ": 2," a ": 1}, re-deserialized to dict using loadLoad for file handleIf there is a

Two modules for serialization in Python JSON is used to convert between "string" and "Python Basic data Types" Pickle for "Python-specific type" and "Python basic data type" to co