mpld3.github.io mpld3.github.io

mpld3.github.io

MPLD3 — Bringing Matplotlib to the Browser

Bringing Matplotlib to the Browser. 160; :    Quick Start Guide. The mpld3 project brings together Matplotlib. The popular Python-based graphing library, and D3js. The popular Javascript library for creating interactive data visualizations for the web. The result is a simple API for exporting your matplotlib graphics to HTML code which can be used within the browser, within standard web pages, blogs, or tools such as the IPython notebook. For some interactive demonstrations of mpld3 in action.

http://mpld3.github.io/

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MPLD3 — Bringing Matplotlib to the Browser | mpld3.github.io Reviews
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Bringing Matplotlib to the Browser. 160; :    Quick Start Guide. The mpld3 project brings together Matplotlib. The popular Python-based graphing library, and D3js. The popular Javascript library for creating interactive data visualizations for the web. The result is a simple API for exporting your matplotlib graphics to HTML code which can be used within the browser, within standard web pages, blogs, or tools such as the IPython notebook. For some interactive demonstrations of mpld3 in action.
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1 contents
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3 example gallery
4 notebook examples
5 quick start guide
6 general functions
7 ipython notebook functions
8 plugins
9 installing mpld3
10 installing released versions
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MPLD3 — Bringing Matplotlib to the Browser | mpld3.github.io Reviews

https://mpld3.github.io

Bringing Matplotlib to the Browser. 160; :    Quick Start Guide. The mpld3 project brings together Matplotlib. The popular Python-based graphing library, and D3js. The popular Javascript library for creating interactive data visualizations for the web. The result is a simple API for exporting your matplotlib graphics to HTML code which can be used within the browser, within standard web pages, blogs, or tools such as the IPython notebook. For some interactive demonstrations of mpld3 in action.

INTERNAL PAGES

mpld3.github.io mpld3.github.io
1

Index — Bringing Matplotlib to the Browser

http://mpld3.github.io/genindex.html

Bringing Matplotlib to the Browser. Add data() (mpld3.mpld3renderer.MPLD3Renderer method). BoxZoom (class in mpld3.plugins). Clear() (in module mpld3.plugins). Connect() (in module mpld3.plugins). Deprecated() (in module mpld3.utils). Disable notebook() (in module mpld3). Display() (in module mpld3). Display d3() (in module mpld3). Enable notebook() (in module mpld3). Fig to d3() (in module mpld3). Fig to dict() (in module mpld3). Fig to html() (in module mpld3). Get id() (in module mpld3.utils).

2

Demo of mpld3 — Bringing Matplotlib to the Browser

http://mpld3.github.io/notebooks/mpld3_demo.html

Bringing Matplotlib to the Browser. 160;  Plugins in mpld3. 160; :    Contents. 160; :    API documentation. 160;  Plugins in mpld3. 160; :    Contents. 160; :    API documentation.

3

Plugins in mpld3 — Bringing Matplotlib to the Browser

http://mpld3.github.io/notebooks/custom_plugins.html

Bringing Matplotlib to the Browser. 160;  Notebook Examples. 160; :    Contents. 160; :    Demo of mpld3. 160;  Notebook Examples. 160; :    Contents. 160; :    Demo of mpld3.

4

Python Module Index — Bringing Matplotlib to the Browser

http://mpld3.github.io/py-modindex.html

Bringing Matplotlib to the Browser.

5

Plugins — Bringing Matplotlib to the Browser

http://mpld3.github.io/plugins.html

Bringing Matplotlib to the Browser. 160;  Frequently Asked Questions. 160; :    Contents. 160; :    Example Gallery. Plugins in mpld3 offer a means of defining new interactive behaviors on matplotlib plots through the use of javascript and D3js. More information is available in the. 160;  Frequently Asked Questions. 160; :    Contents. 160; :    Example Gallery.

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brandonrose.org brandonrose.org

Document Clustering with Python

http://brandonrose.org/clustering

Document Clustering with Python. In this guide, I will explain how to cluster a set of documents using Python. My motivating example is to identify the latent structures within the synopses of the top 100 films of all time (per an IMDB list). See the original post. For a more detailed discussion on the example. This guide covers:. Tokenizing and stemming each synopsis. Transforming the corpus into vector space using tf-idf. Calculating cosine distance between each document as a measure of similarity.

zamojski.net zamojski.net

Marcin Zamojski - Other projects

http://zamojski.net/other.php

Other projects and code snippets. Violin/box plots in D3.js. Implementation of violin/box plots in D3.js. The familiar, glanceable format of box plots meets the robustness of kernel estimation. An extension that allows using Bibtex citations within jupyter. Timing functions in Julia. Integration of D3.js. Designed for rendering static versions (through PhantomJS) of visualizations. Note that for dynamic charts it is probably better to use some other package, e.g. mpld3. 46 317 86 12 84.

frederikdurant.com frederikdurant.com

Selling a new banking product to the right customers (first) – Frederik Durant's .data blog

http://frederikdurant.com/projects/banking-project

Frederik Durant's .data blog. On a data science sabbatical in NYC. Bull; target marketing. Bull; customer ranking. Bull; logistic regression. Selling a new banking product to the right customers (first). February 20, 2015. Project: Target Marketing for a Bank. During week 4, 5 and 6, the Metis Data Science Bootcamp zoomed in on the following technologies:. SQL and mySQL in the cloud. Supervised learning with scikit-learn. Interactive visualization with matplotlib. Interactive widgets in iPython. ROC curv...

onedatapoint.com onedatapoint.com

Clustering for Computational Chemistry | One Data Point

http://onedatapoint.com/index.php/2015/04/27/clustering-computational-chemistry

A Statistically Insignificant Sampling. Clustering for Computational Chemistry. April 27, 2015. June 2, 2015. For the past five years, I’ve worked as a theoretical chemist in the Head-Gordon group. We care about assigning chemical reactions to groups because we have heuristic ideas about how our methods should perform on these groups. Ultimately we want to have classes of test data with well characterized errors for subsets of methods. By using unsupervised learning, we can remove the appeal to g...Clust...

onedatapoint.com onedatapoint.com

David Stück | One Data Point

http://onedatapoint.com/index.php/author/admin

A Statistically Insignificant Sampling. Emoji Translator: Early Update. August 2, 2015. August 5, 2015. I’ve got a little bit of an update to bring the site up to speed with the progress I’ve made on the project. Now that I’ve finished up the first draft of my thesis! The main pipeline of the project is scraping data from Twitter, cleaning the data, training a Word2Vec model, and developing models to translate to emojis. In terms of other meta data, I only consider English tweets with 5 or more words and...

cyrille.rossant.net cyrille.rossant.net

Cyrille Rossant - Scientific Python in the Browser: it's coming!

http://cyrille.rossant.net/scientific-python-in-the-browser-its-coming

Scientific Python in the Browser: it's coming! March 31, 2014. There is currently a manifest trend in the scientific Python ecosystem: Python is slowly but surely coming to the browser. It's a real challenge, but we're getting there. In this post, I want to give an overview of where we are, and where we're headed. Why it's a good thing. Python is becoming one of the most popular open source platforms for scientific computing and data analysis. On the other hand, the Web is today the platform of choice.

ioam.github.io ioam.github.io

Introduction — HoloViews

http://ioam.github.io/holoviews

July 1st 2015: HoloViews 1.3 released and now available on PyPI. May 14th 2015: Talk. On HoloViews to appear at the SciPy 2015 conference. Mar 19th 2015: HoloViews now available on SageMathCloud. Feb 25th 2015: HoloViews announced as the winner in its category at the UK Open Source Awards 2015. Composable, declarative data structures for building even complex visualizations easily. HoloViews is a Python. More detailed example ¶. Illustrating how even a simple annotation can be used to reflect other data ...

cyrille.rossant.net cyrille.rossant.net

Cyrille Rossant - Big Data visualization with WebGL, part 1: Overview

http://cyrille.rossant.net/big-data-visualization-webgl-part1

Big Data visualization with WebGL, part 1: Overview. October 15, 2014. In this post series, I'll talk about the big data visualization platform I'm currently developing with WebGL. I'll give in this first post the main motivations for this project. The next posts will contain the technical details. This project brings together several modern trends in data science and computing:. The modern Web platform. Or the BRAIN Initiative. In more and more disciplines, datasets are becoming too big for our computer...

onedatapoint.com onedatapoint.com

Data Science | One Data Point

http://onedatapoint.com/index.php/category/datascience

A Statistically Insignificant Sampling. Emoji Translator: Early Update. August 2, 2015. August 5, 2015. I’ve got a little bit of an update to bring the site up to speed with the progress I’ve made on the project. Now that I’ve finished up the first draft of my thesis! The main pipeline of the project is scraping data from Twitter, cleaning the data, training a Word2Vec model, and developing models to translate to emojis. In terms of other meta data, I only consider English tweets with 5 or more words and...

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Future home of something quite cool. If you're the site owner. To launch this site. If you are a visitor.

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Manhattan-Elwood Public Library

8212; Main Menu —. BOOKS, MOVIES, MUSIC. PROGRAMS & EVENTS. BOOKS, MOVIES, MUSIC. PROGRAMS & EVENTS. Welcome to the Manhattan-Elwood Public Library. Here you can browse our catalog, sign up for programs, use eResources, and more! Click here to download the Android app. All About the Yarn. WordPress Image Scroller Plugin. View Our Library Policy. Manhattan, IL Website Design. By The Inertia Group, Inc. Manhattan IL, 60442. 10:00 AM - 8:00 PM. 10:00 AM - 8:00 PM. 10:00 AM - 8:00 PM. 10:00 AM - 8:00 PM.

mpld1986.blogspot.com mpld1986.blogspot.com

María del Pilar

Miércoles, 9 de febrero de 2011. 191;En qué zonas de la facultad hay plantas? Las plantas principalmente se encuentras en cinco zonas: Entrada del edificio anexo, entrada del edificio principal, biblioteca, cafetería y en la copistería. 191;Quién tomó la iniciativa de poner plantas naturales en la facultad? La iniciativa la tomó Jesús, conserje de la facultad, en 1992. 191;Alguien siguió la iniciativa de Jesús? Las plantas de la copistería las trajo Ofelia. 191;Qué les motivó a tenerlas en su trabajo?

mpld3.github.io mpld3.github.io

MPLD3 — Bringing Matplotlib to the Browser

Bringing Matplotlib to the Browser. 160; :    Quick Start Guide. The mpld3 project brings together Matplotlib. The popular Python-based graphing library, and D3js. The popular Javascript library for creating interactive data visualizations for the web. The result is a simple API for exporting your matplotlib graphics to HTML code which can be used within the browser, within standard web pages, blogs, or tools such as the IPython notebook. For some interactive demonstrations of mpld3 in action.

mplda.com mplda.com

MPL Design & Comunicação

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mpldbuilding.blogspot.com mpldbuilding.blogspot.com

MPLD Happenings

McHenry Public Library District's public blog. Friday, September 30, 2011. Parking Lot Expansion Update. Construction continues on our parking lot project. At this time, the north entrance is open but may be closed for a time the week of October 3. We hope to have the lot paved and striped soon . The project should be completed around mid-October. We appreciate the public being patient and flexible as we work to add more parking spaces. Tuesday, September 20, 2011. Parking Lot Expansion Update. Bloodmobi...

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Michael P. Lavelle Agency - New York Online Defensive Driving Course

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