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rkrahul

dat fram iris datset

rkrahul
Jun 17th, 2024 (edited)
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  1. import matplotlib.pyplot as plt
  2. import numpy as np x =
  3. np.linspace(0, 10, 100)
  4. plt.plot(x, x, label = 'linear'
  5. ) plt.legend() plt.show()
  6. Exercise Implementation:
  7. Create Pandas Dataframe to enter employee database which includes Sr No,
  8. Name, Mobile No, City Program: import pandas as pd
  9. # Sample employee data with Indian names
  10. employee_data = [
  11. {"Sr No": 1, "Name": "Ram", "Mobile No": "9876543210", "City": "Mumbai"},
  12. {"Sr No": 2, "Name": "Sham", "Mobile No": "9876543211", "City": "Delhi"},
  13. {"Sr No": 3, "Name": "Rohit", "Mobile No": "9876543212", "City": "Bangalore"},
  14. {"Sr No": 4, "Name": "Virat", "Mobile No": "9876543213", "City": "Ahmedabad"},
  15. # Add more employee data as needed
  16. ]
  17.  
  18. # Create DataFrame employee_df =
  19. pd.DataFrame(employee_data)
  20. # Display DataFrame
  21. employee_df
  22.  
  23. Use Iris Dataset from Github and perform all basic operations on Iris Dataset
  24. Program:
  25. import pandas as pd
  26. url =
  27. 'https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/0e7a9b0a5d2
  28. 2642a06d3d5b9bcbad9890c8ee534/iris.csv'
  29. iris = pd.read_csv(url)
  30. iris
  31.  
  32. iris.head()-----------------------firstquery
  33. iris.iloc[75:77]---------------------second
  34.  
  35.  
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