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Python Data Analysis

You're reading from   Python Data Analysis Learn how to apply powerful data analysis techniques with popular open source Python modules

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Product type Paperback
Published in Oct 2014
Publisher
ISBN-13 9781783553358
Length 348 pages
Edition 1st Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started with Python Libraries 2. NumPy Arrays FREE CHAPTER 3. Statistics and Linear Algebra 4. pandas Primer 5. Retrieving, Processing, and Storing Data 6. Data Visualization 7. Signal Processing and Time Series 8. Working with Databases 9. Analyzing Textual Data and Social Media 10. Predictive Analytics and Machine Learning 11. Environments Outside the Python Ecosystem and Cloud Computing 12. Performance Tuning, Profiling, and Concurrency A. Key Concepts
B. Useful Functions C. Online Resources
Index

Calling C code

We can call C functions from Cython. The C string strlen() function is the equivalent of the Python len() function. Call this function from a Cython .pyx file by importing it as follows:

from libc.string cimport strlen

We can then call strlen() from somewhere else in the .pyx file. The .pyx file can contain any Python code. Have a look at the cython_module.pyx file in this book's code bundle:

from collections import defaultdict
from nltk.corpus import stopwords
from nltk.corpus import names
from libc.string cimport strlen

sw = set(stopwords.words('english'))
all_names = set([name.lower() for name in names.words()])

def isStopWord(w):
    return w in sw or strlen(w) == 1 or not w.isalpha() or w in all_names

def filter_sw(words):
    return [w.lower() for w in words if not isStopWord(w.lower())]

def freq_dict(words):
    dd = defaultdict(int)

    for word in words:
        dd[word] += 1

    return dd

To compile this code we need a setup.py file with the following...

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