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Python Data Analysis, Second Edition

You're reading from   Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787127487
Length 330 pages
Edition 2nd Edition
Languages
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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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Table of Contents (16) Chapters Close

Preface 1. Getting Started with Python Libraries FREE CHAPTER 2. NumPy Arrays 3. The Pandas Primer 4. Statistics and Linear Algebra 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

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): 
     py_byte_string = w.encode('UTF-8') 
     cdef char* c_string = py_byte_string 
     truth = (w in sw) or (w in all_names) or (not w.isalpha()) or (strlen(c_string) == 1) 
     return truth 
 
def filter_sw(words): 
    return [w.lower() for w in words if not isStopWord(w.lower())] 
 
def freq_dict(words...
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