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Get Stock data using python and plot a graph for stock analysis using python

 Below is the program to guide you how to get then Stock data using python and plot a graph for stock analysis using python. I took the NSE stock data using python. I used yahoo finance for the same.

First you need to install Yahoo finance using following command:

pip install yahoo-finance

The below is the code:

# Import yfinance package

import yfinance as yf

import matplotlib.pyplot as plt


# Set the start and end date

start_date = '2022-01-01'

end_date = '2023-03-18'


# Set the ticker

ticker = 'HDFCBANK.NS'


# Get the data

data = yf.download(ticker, start_date, end_date)


print(data)

data.tail()



# Plot adjusted close price data

data['Adj Close'].plot()

plt.show()


# Plot the adjusted close price

data['Adj Close'].plot(figsize=(10, 7))


# Define the label for the title of the figure

plt.title("Adjusted Close Price of %s" % ticker, fontsize=16)


# Define the labels for x-axis and y-axis

plt.ylabel('Price', fontsize=14)

plt.xlabel('Year', fontsize=14)


# Plot the grid lines

plt.grid(which="major", color='k', linestyle='-.', linewidth=0.5)


# Show the plot

plt.show()


Here is the output for the same:

C:\Users\hp\PycharmProjects\Stock_Prediction\venv\Scripts\python.exe C:\Users\hp\PycharmProjects\Stock_Prediction\venv\NSE.py 

[*********************100%***********************]  1 of 1 completed

                   Open         High  ...    Adj Close    Volume

Date                                  ...                       

2022-01-03  1485.000000  1523.000000  ...  1502.184082   4534592

2022-01-04  1520.000000  1532.900024  ...  1510.981812   4428676

2022-01-05  1536.800049  1572.000000  ...  1546.864502   7166319

2022-01-06  1543.000000  1554.750000  ...  1522.053101   4814465

2022-01-07  1544.000000  1566.750000  ...  1532.729004   5589692

...                 ...          ...  ...          ...       ...

2023-03-13  1587.900024  1603.800049  ...  1568.550049  13221775

2023-03-14  1570.250000  1583.599976  ...  1564.349976  16592806

2023-03-15  1578.000000  1582.900024  ...  1541.900024  18632377

2023-03-16  1539.000000  1559.099976  ...  1551.900024  10876671

2023-03-17  1557.500000  1579.199951  ...  1572.650024  11475438


[301 rows x 6 columns]


Process finished with exit code 0




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Location: Pune, Maharashtra, India

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