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Exploring Essential Python Libraries for Data Analysis and More

Discover a wealth of information on critical Python libraries like Numpy, Pandas, and requests for various data formats. Learn about tools such as lxml, xlrd, and xlwt, as well as networking capabilities using urllib2 and async requests. Embrace the power of standard and third-party Python libraries and delve into the world of data analysis with ease!

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Exploring Essential Python Libraries for Data Analysis and More

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  1. Useful Python Libraries Ghislain Prince

  2. This presentation • Standard libraries • “batteries included” • 3rd party libs

  3. Regarding python 3 • docs.python.org/2/library/2to3.html • “Analyze tools for Pro” tool • Future : pick you python (Conda)

  4. Standard Library is Large, powerful and Well-Documented • docs.python.org • Installed with ArcGIS

  5. 3rd Party Library • Not part of standard library • Pypi – the Python Package Index • 60,000+ packages • https://pypi.python.org/pypi • pip • C:\>c:\Python27\ArcGIS10.3\Scripts\pip.exe install requests • Downloading requests-2.7.0-py2.py3-none-any.whl (470kB) • 100% |################################| 471kB 718kB/s • Installing collected packages: requests • Successfully installed requests-2.7.0

  6. Data Formats • XML • JSON • CSV • Excel • PDF • Numpy/Pandas* • NetCDF

  7. 3 XML options within the standard library • SAX • Can handle huge datasets • Hard to use, verbose code • DOM • Familiar: Javascript uses the DOM • Easy (ish) • Etree • Feels like python • Extremely easy and concise for common tasks

  8. JSON • json module >>> import json >>> d = json.load(open("states.json", 'r')) >>> print(type(d)) <class 'dict'>

  9. CSV & Excel • csv module >>> import csv >>> with open('eggs.csv', 'rb') as csvfile: ... spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|') ... for row in spamreader: ... print ', '.join(row) Spam, Spam, Spam, Spam, Spam, Baked Beans Spam, Lovely Spam, Wonderful Spam • xlrd & xlwt (third-party, included in ArcGIS) Sample from python.org

  10. PDF • arcpy.mapping.PDFDocument • reportlab (third-party) • allows rapid creation of rich PDF documents, and also creation of charts in a varietyof bitmap and vector formats.

  11. Networking • Calls to HTTP servers • urllib2 • requests (third-party, pip-install) • asyncio

  12. Computing • Numpy • Pandas * • Scipy * • Sympy * • R bridge (coming soon: github.com/R-ArcGIS … wait this isn’t python at all) • * Pro 1.0 & planned for Desktop/Server 10.4

  13. Resources arcpy.wordpress.com twitter.com/arcpy desktop.arcgis.com/en/desktop/

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