In this chapter you’ll:
Learn what arrays are and how they differ from lists.
Use the numpy
module’s high-performance ndarray
s.
Compare list and ndarray
performance with the IPython %timeit
magic.
Use ndarray
s to store and retrieve data efficiently.
Create and initialize ndarray
s.
Refer to individual ndarray
elements.
Iterate through ndarray
s.
Create and manipulate multidimensional ndarray
s.
Perform common ndarray
manipulations.
Create and manipulate pandas one-dimensional Series
and two-dimensional DataFrame
s.
Customize Series
and DataFrame
indices.
Calculate basic descriptive statistics for data in a Series
and a DataFrame
.
Customize floating-point number precision in pandas output formatting.
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