python pandas get rows with condition

title: using python pandas to filter rows based on conditions
introduction:
python pandas is a powerful data manipulation and analysis library that provides easy-to-use data structures and functions to manipulate and analyze structured data. one common task is filtering rows from a dataframe based on certain conditions. in this tutorial, we'll explore how to use pandas to get rows with specific conditions.
requirements:
example dataset:
for this tutorial, let's create a simple dataset:
filtering rows based on a single condition:
to filter rows based on a single condition, you can use boolean indexing. let's say we want to get rows where the age is greater than 25:
filtering rows based on multiple conditions:
you can also filter rows based on multiple conditions by combining them using logical operators. let's say we want to get rows where both age is greater than 25 and salary is less than 60000:
custom function for complex conditions:
for more complex conditions, you can use a custom function with the apply method. let's say we want to get rows where the length of the name is greater than 4:
conclusion:
python pandas provides powerful tools for filtering rows based on conditions, making it easy to extract and analyze relevant data from large datasets. by mastering these techniques, you can efficiently manipulate and explore your data using pandas.
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