How can I use NumPy for data analysis?
NumPy is a powerful library for numerical computing in Python. You can use it to perform operations on large datasets efficiently.
What are some basic functions I should know?
Some basic functions include numpy.array()
, numpy.mean()
, numpy.median()
, and numpy.std()
. These help with data manipulation.
Can you show me an example of calculating the mean?
Sure! You can calculate the mean of an array like this: numpy.mean(numpy.array([1, 2, 3, 4, 5]))
which returns 3.0
.
How does NumPy handle missing data?
NumPy uses numpy.nan
to represent missing values. You can use functions like numpy.nanmean()
to ignore these values in calculations.
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