How can I filter a Pandas Series based on conditions?
You can filter a Pandas Series by using boolean indexing. For example, if you have a Series s
, you can filter it like this: s[s > 10]
to get all values greater than 10.
Can you show me an example with a Series of numbers?
Sure! Here's an example:
import pandas as pd
s = pd.Series([1, 5, 10, 15, 20])
filtered_s = s[s > 10]
print(filtered_s)
This will output the values 15 and 20.
What if I want to filter based on multiple conditions?
You can use the &
operator for 'and' conditions or the |
operator for 'or' conditions. For example:
filtered_s = s[(s > 10) & (s < 20)]
This will give you values between 10 and 20.
Is there a way to filter using a function?
Yes! You can use the apply
method to filter based on a custom function. For example:
filtered_s = s[s.apply(lambda x: x % 2 == 0)]
This will filter the Series to include only even numbers.
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