To delete a row or n rows from a pandas dataframe you can use following command
DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise')
Let's assume you have a dataframe with 100 employees data with employee id's ranging from 1 to 100. If you want to drop all employees from dataframe with employee id between 5 and 10. Then you can use following command to do this.
df.drop(df.loc[((df.emp_id >= 5) & (df.emp_id <= 10))].index, inplace=True)
If you want to drop all employees with employee id greater than 90. Then you can modify above as following.
df.drop(df.loc[df.emp_id > 90].index, inplace=True)
For more such tips stay tuned.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.
Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance.
Python supports modules and packages, which encourages program modularity and code reuse.
Python is an interpreted, object-oriented and extensible programming language. Python can run on many different operating systems.
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