《Python for Data Analysis》是2013年O'Reilly Media出版的图书，作者是Wesly McKinney。内容简介 这本书主要是用 pandas 连接 SciPy 和 NumPy，用pandas做数据处理是Pycon2012上一个很热门的话题。另一个功能强大的东西是Sage，它将很多开源的软件集成到统一的 Python 接口。Python for Data Analysis is concerned...
我所阅读的《Python For Data Analysis》中文版(PDF)是2014年第一版的,里面所有示例都是基于Python 2.7和pandas 0.8.2所写的,而我安装的是Python 3.5.2与pandas 0.20.2,里面的一些函数与方法会有较大的不同,有些是新版本中参数改变了,而有些是新版本里弃用了某些旧版本的函数,这导致我运行按照书中示例代码...
data = pd.Series(data) data.isnull() # 可以查看是否包含某个字符串 data.str.contains('gmail') # 也可以使用正则表达式,还可以加上任意re选项(如IGNORECASE) matches = data.str.findall(pattern, flags=re.IGNORECASE) # 矢量化元素的获取操作 # str.get matches.str.get(1) # 在str属性上使用索引 ...
python3jupyter-notebookspython-for-data-analysisjupyter-python UpdatedDec 8, 2022 Jupyter Notebook FarahIbrar/KPMG-Job-Simulation Star2 This repository showcases my work from the KPMG Technology Job Simulation by Forage, focusing on Data Analytics and Cloud Engineering. Explore how I tackled real-wo...
你可以阅读「19 places to find free data sets for your data science project」来查找合适的数据集。 另一种方法是将数据科学应用到你感兴趣的领域。例如,如果你想预测股票市场价格,那么你可以从 Yahoo Finance中获取实时数据,并将其存储在 SQL 数据库中,然后使用机器学习来预测股票价格。 如果你希望从其它行业...
Much of this book focuses on table-based analytics and data preparation tools for working with datasets that are small enough to fit on your personal computer. To use these tools you must sometimes do some wrangling to arrange messy data into a more nicely tabular (orstructured) form. Fortunat...
Apply the pandas groupby facility to slice, dice, and summarize datasets * Measure data by points in time, whether it's specific instances, fixed periods, or intervals * Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examplesMcKinney, Wes...
For this example, we’ll use the data set foundhere. This data-set contains enough data to be useful in understanding market basket analysis but isn’t too large that we can’t use MLxtend (because we can’t unstack the data, which is required to use MLxtend ). ...
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing … - Selection from Python for Data Analysis [Book]
The Sports Analytics case study Chapter 2 The Pandas essentials for data analysis Introduction to the Pandas DataFrame The DataFrame structure Two ways to get data into a DataFrame How to save and restore a DataFrame How to examine the data ...