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Useful Python Libraries

Useful Python Libraries. Ghislain Prince. This presentation. Standard libraries “batteries included” 3 rd party libs. Regarding python 3. docs.python.org/2/library/2to3.html “Analyze tools for Pro” tool Future : pick you python (Conda).

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Useful Python Libraries

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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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