Isjson Javascript

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JSON stands for JavaScript Object Notation. It is a JavaScript object that organizes data into key / value pairs. Storing data in this way makes these objects lightweight and language independent. This means that JSON can be read by most programming languages.

JSON is commonly used to retrieve data from a client side server because it is lightweight and easily readable by humans and machines. In a world of API consumption, JSON is flexible enough to pull only the data you want from the server to the user.

Using JSON

Using JSON is a convenient way to store data passed from the server to the front-end of an application. Most programming languages ‚Äã‚Äãhave methods for immediately converting data to JSON. In a JavaScript fetch request, the data response sent by the server is converted to JSON by calling the json () method on the request. Learn more about fetch queries here.

Why should we always convert a response to JSON ? One answer is wordy and difficult for us humans to decipher. By converting the response to JSON, we organize the data into human readable key / value pairs. This makes the data more accessible through the code that we write to do something with the response data.

JSON Examples

First, let’s take a look at what a response that was converted to JSON might look like. We send a fetch request to an API that tells us how many astronauts are currently in space in the example below.

For our purposes, we’ll save the response we converted to JSON in our console.

We can see that inside this object there is the slave ch of "message,‚" "number‚" and "people.‚" The message key indicates " success .‚" This is a nice message to us. let us know the status of our request.

Next, our numeric key points to the value 7. This is the total number of people in the space. Finally, we come to our "people‚" key. The value of this key is an array. inside in this array are several objects with the keys "craft" and "name". Our values ‚Äã‚Äãfor these keys are the name of the spaceship and the astronaut on board.

JSON can be nested multiple times. At this point in our retrieval request, the response has been converted to JSON and now the next step is to do something with that data. From there, we could use that data to populate a row of cards for each astronaut. The data processing is determined by what you want your application performs.


In summary, we’ve learned that JSON is an object used to store data. Usually, this data comes from a server in response to a fetch request. We also learned that JavaScript comes with a json () method which converts a response to JS AU.

For the front-end of an application to use data from a server, it must be in JSON format. After converting a response to JSON, we’re free to create whatever we want around that data. To learn more about the json () method in fetch requests, see this guide .

Isjson Javascript around: Questions

Removing white space around a saved image in matplotlib

2 answers

I need to take an image and save it after some process. The figure looks fine when I display it, but after saving the figure, I got some white space around the saved image. I have tried the "tight" option for savefig method, did not work either. The code:

  import matplotlib.image as mpimg
  import matplotlib.pyplot as plt

  fig = plt.figure(1)
  img = mpimg.imread(path)

  extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
  plt.savefig("1.png", bbox_inches=extent)


I am trying to draw a basic graph by using NetworkX on a figure and save it. I realized that without a graph it works, but when added a graph I get white space around the saved image;

import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import networkx as nx

G = nx.Graph()
pos = {1:[100,120], 2:[200,300], 3:[50,75]}

fig = plt.figure(1)
img = mpimg.imread("image.jpg")

nx.draw(G, pos=pos)

extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
plt.savefig("1.png", bbox_inches = extent)


Answer #1

You can remove the white space padding by setting bbox_inches="tight" in savefig:


You"ll have to put the argument to bbox_inches as a string, perhaps this is why it didn"t work earlier for you.

Possible duplicates:

Matplotlib plots: removing axis, legends and white spaces

How to set the margins for a matplotlib figure?

Reduce left and right margins in matplotlib plot


Answer #2

I cannot claim I know exactly why or how my “solution” works, but this is what I had to do when I wanted to plot the outline of a couple of aerofoil sections — without white margins — to a PDF file. (Note that I used matplotlib inside an IPython notebook, with the -pylab flag.)

plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0, 
            hspace = 0, wspace = 0)
plt.savefig("filename.pdf", bbox_inches = "tight",
    pad_inches = 0)

I have tried to deactivate different parts of this, but this always lead to a white margin somewhere. You may even have modify this to keep fat lines near the limits of the figure from being shaved by the lack of margins.

Isjson Javascript iat: Questions


InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately

3 answers

Tried to perform REST GET through python requests with the following code and I got error.

Code snip:

import requests
header = {"Authorization": "Bearer..."}
url = az_base_url + az_subscription_id + "/resourcegroups/Default-Networking/resources?" + az_api_version
r = requests.get(url, headers=header)


          InsecurePlatformWarning: A true SSLContext object is not available. 
          This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. 
          For more information, see

My python version is 2.7.3. I tried to install urllib3 and requests[security] as some other thread suggests, I still got the same error.

Wonder if anyone can provide some tips?


Answer #1

The docs give a fair indicator of what"s required., however requests allow us to skip a few steps:

You only need to install the security package extras (thanks @admdrew for pointing it out)

$ pip install requests[security]

or, install them directly:

$ pip install pyopenssl ndg-httpsclient pyasn1

Requests will then automatically inject pyopenssl into urllib3

If you"re on ubuntu, you may run into trouble installing pyopenssl, you"ll need these dependencies:

$ apt-get install libffi-dev libssl-dev


Dynamic instantiation from string name of a class in dynamically imported module?

3 answers

In python, I have to instantiate certain class, knowing its name in a string, but this class "lives" in a dynamically imported module. An example follows:

loader-class script:

import sys
class loader:
  def __init__(self, module_name, class_name): # both args are strings
      modul = sys.modules[module_name]
      instance = modul.class_name() # obviously this doesn"t works, here is my main problem!
    except ImportError:
       # manage import error

some-dynamically-loaded-module script:

class myName:
  # etc...

I use this arrangement to make any dynamically-loaded-module to be used by the loader-class following certain predefined behaviours in the dyn-loaded-modules...


Answer #1

You can use getattr

getattr(module, class_name)

to access the class. More complete code:

module = __import__(module_name)
class_ = getattr(module, class_name)
instance = class_()

As mentioned below, we may use importlib

import importlib
module = importlib.import_module(module_name)
class_ = getattr(module, class_name)
instance = class_()


How to get all of the immediate subdirectories in Python

3 answers

I"m trying to write a simple Python script that will copy a index.tpl to index.html in all of the subdirectories (with a few exceptions).

I"m getting bogged down by trying to get the list of subdirectories.


Answer #1

import os
def get_immediate_subdirectories(a_dir):
    return [name for name in os.listdir(a_dir)
            if os.path.isdir(os.path.join(a_dir, name))]


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