Hands-On Data Analysis with NumPy and pandas
- 作者: Curtis Miller
- 出版社/メーカー: Packt Publishing
- 発売日: 2018/06/29
- メディア: Kindle版
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感想
紙の本だと168ページぐらい。 何よりわかりやすい(内容も深くない)。
いきなりMachine Learningのアルゴリズムに挑戦して撃沈(!)した場合、基本に戻ってNumPy、pandasの基礎を学ぶのにいい。
Table of Contents
1. SETTING UP A PYTHON DATA ANALYSIS ENVIRONMENT
2. DIVING INTO NUMPY
- NumPy arrays
- Special numeric values
- Creating NumPy arrays
- Creating ndarray
3. OPERATIONS ON NUMPY ARRAYS
- Operations on NumPy Arrays
- Selecting elements explicitly
- Slicing arrays with colons
- Advanced indexing
- Expanding arrays
- Arithmetic and linear algebra with arrays
- Arithmetic with two equal-shaped arrays
- Broadcasting
- Linear algebra
- Employing array methods and functions
- Array methods
- Vectorization with ufuncs
- Custom ufuncs
4. PANDAS ARE FUN! WHAT IS PANDAS?
- What does pandas do?
- Exploring series and DataFrame objects
- Creating series
- Creating DataFrames
- Adding data
- Saving DataFrames
- Subsetting your data
- Subsetting a series
- Indexing methods
- Slicing a DataFrame
5. ARITHMETIC, FUNCTION APPLICATION, AND MAPPING WITH PANDAS
- Arithmetic, Function Application, and Mapping with pandas
- Arithmetic
- Arithmetic with DataFrames
- Vectorization with DataFrames
- DataFrame function application
- Handling missing data in a pandas DataFrame
- Deleting missing information
- Filling missing information
6. MANAGING, INDEXING, AND PLOTTING
- Managing, Indexing, and Plotting
- Index sorting
- Sorting by values
- Hierarchical indexing
- Slicing a series with a hierarchical index
- Plotting with pandas
- Plotting methods