Nse Nifty Data

Installations & Python Packages
1

Can any one tell me the code to import nifty data for last 10 days in python?

2

You can import Nifty data from NSEpy.



from nsepy import get_history

from datetime import datetime



# You can change the dates accordingly

start = datetime(2019, 7, 15)

end = datetime(2019, 7, 30)



data = get_history(symbol='NIFTY',start=start,end=end, index=True)



Thanks!







 

3

  File "C:\Users\sauravku\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 108, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "C:/Users/sauravku/Desktop/untitled1.py", line 1, in <module>
    from nsepy import get_history

ModuleNotFoundError: No module named 'nsepy'
4

You will have to first install nsepy using



!pip install nespy



in your IPython notebook

5

How to do it can you tell me the process?

6

Follow the following steps:



If you're using windows,


  1. Go to the start and search for Jupyter.
  2. Open your jupyter,create a new ipython notebook by clicking on 'New' on the upper right corner         and create a python 3 notebook.
  3. For quick installation, you need to install nsepy by typing '!pip install nsepy' and run it either by      clicking on the green triangle or by pressing F5.
  4. Once this is done, you could import nsepy and use it functions.



    If you're using mac,


  5. Click on spotlight, type terminal to open terminal window.
  6. Type Jupyter to launch the Jupyter notebook. The notebook interface will appear in a new                  browser window.
  7. Open your jupyter,create a new ipython notebook by clicking on 'New' on the upper right corner        and create a python 3 notebook
  8. For quick installation, you need to install nsepy by typing '!pip install nsepy' and run it either by      shift+enter or click on run.
  9. Once this is done, you could import nsepy and use it functions





    Now, follow the below steps in your IPython Notebook:



    from nsepy import get_history

    from datetime import datetime



    # You can change the dates accordingly

    start = datetime(2019, 7, 15)

    end = datetime(2019, 7, 30)



    data = get_history(symbol='NIFTY',start=start,end=end, index=True)