Book Image

Python Data Analysis - Second Edition

By : Ivan Idris
Book Image

Python Data Analysis - Second Edition

By: Ivan Idris

Overview of this book

Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries.
Table of Contents (22 chapters)
Python Data Analysis - Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Key Concepts
Online Resources

Storing data in memcache


The memcache is an in-memory, key-value database store, just like Redis. After you install and run the memcached server, install the memcache Python client using the following command:

$ pip3 install python3-memcache

The code in the ch-08.ipynb file creates a memcache client and then stores the DataFrame to memcache with an auto-expire value of 600 seconds. The code is similar to the code for Redis:

import memcache 
import statsmodels.api as sm 
import pandas as pd 
 
client = memcache.Client([('127.0.0.1', 11211)]) 
data_loader = sm.datasets.sunspots.load_pandas() 
df = data_loader.data 
data = df.T.to_json() 
client.set('sunspots', data, time=600) 
print("Stored data to memcached, auto-expire after 600 seconds") 
blob = client.get('sunspots') 
print(pd.read_json(blob))