# pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
## IPython Notebooks:
* [Chapter 2: Introductory Examples](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch02.ipynb)
* [Chapter 4: NumPy Basics](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch04.ipynb)
* [Chapter 5: Getting Started with Pandas](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch05.ipynb)
* [Chapter 6: Data Loading, Storage, and File Formats](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch06.ipynb)
* [Chapter 7: Data Wrangling: Clean, Transform, Merge, Reshape](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch07.ipynb)
* [Chapter 8: Plotting and Visualization](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch08.ipynb)
* [Chapter 9: Data Aggregation and Group Operations](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch09.ipynb)
* [Chapter 10: Time Series](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch10.ipynb)
* [Chapter 11: Financial and Economic Data Applications](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch11.ipynb)
* [Chapter 12: Advanced NumPy](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch12.ipynb)
* [Python Appendix](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/appendix_python.ipynb)
* [2012 Federal Election Commission Database](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/fec_study.ipynb)
Python for Data Analysis一书中的数据
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2017-01-26
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Python for Data Analysis一书中的数据 （206个子文件） 
COPYING 114B P00000001-ALL.csv 150.56MB Haiti.csv 1.86MB volume.csv 622KB ex6.csv 612KB stock_px.csv 391KB spx.csv 147KB stock_px.csv 99KB macrodata.csv 18KB macrodata.csv 18KB tips.csv 8KB ex3.csv 169B ex4.csv 163B csv_mindex.csv 111B tseries.csv 91B out.csv 88B ex5.csv 78B ex1.csv 58B ex2.csv 42B ex7.csv 40B test_file.csv 40B ratings.dat 23.45MB movies.dat 167KB users.dat 131KB PortAuPrince_Roads.dbf 1.45MB .gitignore 18B
fdic_failed_bank_list.html 275KB appendix_python.ipynb 63KB ch05.ipynb 46KB ch07.ipynb 45KB ch10.ipynb 40KB ch09.ipynb 33KB ch11.ipynb 28KB ch02.ipynb 27KB ch04.ipynb 25KB ch12.ipynb 24KB ch08.ipynb 22KB fec_study.ipynb 21KB ch06.ipynb 19KB
PortAuPrince_Roads_sample.jpg 336KB foods-2011-10-03.json 30.34MB example.json 81B README.md 2KB
NationalReadMe.pdf 6KB yahoo_volume.pkl 68KB yahoo_price.pkl 68KB
stinkbug.png 106KB PortAuPrince_Roads.prj 145B analysis.py 2KB parse.py 329B ipython_bug.py 218B README 5KB PortAuPrince_Roads.sbn 15KB PortAuPrince_Roads.sbx 580B PortAuPrince_Roads.shp 585KB PortAuPrince_Roads.shx 12KB
usagov_bitly_data2012-03-16-1331923249.txt 1.52MB yob2008.txt 441KB yob2007.txt 440KB yob2009.txt 436KB yob2006.txt 429KB yob2010.txt 426KB yob2005.txt 410KB yob2004.txt 403KB yob2003.txt 393KB yob2002.txt 385KB yob2001.txt 382KB yob2000.txt 376KB yob1999.txt 361KB yob1998.txt 353KB yob1997.txt 342KB yob1996.txt 335KB yob1995.txt 331KB yob1994.txt 330KB yob1993.txt 330KB yob1992.txt 324KB yob1991.txt 319KB yob1990.txt 314KB yob1989.txt 302KB yob1988.txt 284KB yob1987.txt 272KB yob1986.txt 261KB yob1985.txt 254KB yob1982.txt 249KB yob1984.txt 247KB yob1981.txt 246KB yob1980.txt 245KB yob1983.txt 245KB yob1979.txt 240KB yob1978.txt 230KB yob1977.txt 229KB yob1976.txt 220KB yob1975.txt 214KB yob1974.txt 205KB yob1973.txt 198KB yob1972.txt 195KB yob1971.txt 193KB yob1970.txt 187KB yob1969.txt 174KB yob1968.txt 163KB共 206 条
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资源评论
weixin_380833542018-02-10这个资源很棒- mrshicw2017-12-20这个资源很好，很好的解决了我现在的需求，有了数据后，照着书敲代码，学的效果比较好
macheng_hit20102018-02-15资料中有ipython 文件，比在oriley官网下载的全面一些。但仍然缺少了ch07的测试数据。
冬冬冬2018-08-31资源很好，对我很有用。- feitianhuliqf2017-09-10很好的数据分析资源，适合有一定基础的童靴
