From cbf4d42afb7bef53f2bcd37b77589134a406fd16 Mon Sep 17 00:00:00 2001
From: Joe Damiba
- D3.js charts and maps for Python, MATLAB, R and more.
+ D3.js and WebGL charts and maps for Python, MATLAB, R and more.
Write your own API clients.Plotly API libraries
+ Plotly Open Source Graphing libraries
Download free and open-source clients for:
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@@ -58,7 +58,7 @@ Plotly Python API
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@@ -73,7 +73,7 @@ Plotly MATLAB API
alt="Plotly R API">
+ R
Excel
-
-
- Others
@@ -199,23 +213,11 @@ Hardware and Embedded Systems
class="button no_underline centeredsmall">Arduino
API Protocol
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-
This notebook will give you the recipes of the most popular data visualizations I encounter in my work as a bioinformatician. If you always wondered what bioinformatics is all about or would like to create interactive visualization for your genomic data using plot.ly, this is the place to start.
-We will be working with real gene expression data obtained by Cap Analysis of Gene Expression(CAGE) from human samples by the FANTOM5 consortium. We will be following a typical workflow of a bioinformatician exploring new data, looking for the outliers: interesting genes or samples, or general patterns in the data. In the end, you'll get the idea of the challenges and upsides of creating interactive visualizations of biological data using plot.ly Python API.
+We will be working with real gene expression data obtained by Cap Analysis of Gene Expression(CAGE) from human samples by the FANTOM5 consortium. We will be following a typical workflow of a bioinformatician exploring new data, looking for the outliers: interesting genes or samples, or general patterns in the data. In the end, you'll get the idea of the challenges and upsides of creating interactive visualizations of biological data using plot.ly Python Open Source Graphing Library.
@@ -708,7 +708,7 @@This kind of plot must be the most popular way to visualize a trend in biological data. We seek clear and simple patterns demonstrating the relationships between different biological parameters or observations. -Plot.ly's Python API does not come with out-of-the-box tools for plotting trend lines, but numpy has all we need.
+Plot.ly's Python Open Source Graphing Library does not come with out-of-the-box tools for plotting trend lines, but numpy has all we need.Let's say we want to plot the relationship between the breadth of expression and the average level. Again, for speed and simplicity, we only take the first 1000 genes in our data frame. Let's try to fit a polinomial function to our data points and plot both at the same time. By using plot.ly it's simple, just send the regression line trace to the same figure.
diff --git a/_posts/ipython-notebooks/2015-06-30-cartodb.html b/_posts/ipython-notebooks/2015-06-30-cartodb.html index 5429c07ceffb..13f22fe01d24 100755 --- a/_posts/ipython-notebooks/2015-06-30-cartodb.html +++ b/_posts/ipython-notebooks/2015-06-30-cartodb.html @@ -24,7 +24,7 @@CartoDB lets you easily make web-based maps driven by a PostgreSQL/PostGIS backend, so data management is easy. Plotly is a cloud-based graphing and analytics platform with Python, R, & MATLAB APIs where collaboration is easy. This IPython Notebook shows how to use them together to analyze earthquake data.
+CartoDB lets you easily make web-based maps driven by a PostgreSQL/PostGIS backend, so data management is easy. Plotly is a cloud-based graphing and analytics platform with Python, R, & MATLAB Open Source Graphing Libraries where collaboration is easy. This IPython Notebook shows how to use them together to analyze earthquake data.
You can use Plotly's MATLAB API to make a shareable plots, with LaTeX included. You run the MATLAB code in your MATLAB environrment or the MATLAB kernel in IPython and add fig2plotly
to the call. Check out the user guide to see the installation and setup.
You can use Plotly's MATLAB Open Source Graphing Library to make a shareable plots, with LaTeX included. You run the MATLAB code in your MATLAB environrment or the MATLAB kernel in IPython and add fig2plotly
to the call. Check out the user guide to see the installation and setup.
To get market data, we shall be using Bloomberg. As a starting point, we have used bbg_py from Brian Smith's TIA project, which allows you to access Bloomberg via COM (older method), modifying it to make it compatible for Python 3.4. Whilst, we shall note use it to access historical daily data, there are functions which enable us to download intraday data. This method is only compatible with 32 bit versions of Python and assumes you are running the code on a Bloomberg terminal (it won't work without a valid Bloomberg licence).
-In my opinion a better way to access Bloomberg via Python, is via the official Bloomberg open source Python API, however, at time of writing the official version is not yet compatible with Python 3.4. Fil Mackay has created a Python 3.4 compatible version of this here, which I have used successfully. Whilst it takes slightly more time to configure (and compile using Windows SDK 7.1), it has the benefit of being compatible with 64 bit Python, which I have found invaluable in my analysis (have a read of this in case of failed installations of Windows SDK 7.1).
+In my opinion a better way to access Bloomberg via Python, is via the official Bloomberg open source Python Open Source Graphing Library, however, at time of writing the official version is not yet compatible with Python 3.4. Fil Mackay has created a Python 3.4 compatible version of this here, which I have used successfully. Whilst it takes slightly more time to configure (and compile using Windows SDK 7.1), it has the benefit of being compatible with 64 bit Python, which I have found invaluable in my analysis (have a read of this in case of failed installations of Windows SDK 7.1).
Quandl can be used as an alternative data source, if you don't have access to a Bloomberg terminal, which I have also included in the code.
Additionally, you'll have to change the MATLAB API endpoint so that it points to your company's Plotly server instead of Plotly's cloud. In your MATLAB console, enter:
+
Additionally, you'll have to change the MATLAB Open Source Graphing Library endpoint so that it points to your company's Plotly server instead of Plotly's cloud. In your MATLAB console, enter:
>> saveplotlyconfig('https://plotly.your-company.com', 'https://stream-plotly.your-company.com')
The Plotly MATLAB API has been embedded into our MATLAB toolboxes and our Plotly credentials have been saved using plotlysetup.m
. In order to start using the Plotly MATLAB API all we have to do now is start MATLAB! More information regarding installation / setting up the Plotly MATLAB API can be found on the online documentation.
The Plotly MATLAB Open Source Graphing Library has been embedded into our MATLAB toolboxes and our Plotly credentials have been saved using plotlysetup.m
. In order to start using the Plotly MATLAB API all we have to do now is start MATLAB! More information regarding installation / setting up the Plotly MATLAB API can be found on the online documentation.
Cufflinks binds plotly to pandas dataframes in IPython notebook. Read more.
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See https://plot.ly/python/getting-started/ for more information about Plotly's Python API!
+See https://plot.ly/python/getting-started/ for more information about Plotly's Python Open Source Graphing Library!
See https://plot.ly/python/getting-started/ for more information about Plotly's Python API!
+See https://plot.ly/python/getting-started/ for more information about Plotly's Python Open Source Graphing Library!
See https://plot.ly/python/getting-started for more information about Plotly's Python API!
+See https://plot.ly/python/getting-started for more information about Plotly's Python Open Source Graphing Library!
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Config options set via our API libraries are overridden on graphs hosted on plot.ly (i.e. when working online). +
Config options set via our Open Source Graphing libraries are overridden on graphs hosted on plot.ly (i.e. when working online). To set configutation options online, you can edit the plot's embed url. Visit our embed tutorial: http://help.plot.ly/embed-graphs-in-websites/#step-8-customize-the-iframe for more information on customizing the embed url to remove the "Edit Chart" link, hide the modebar, or autosize the plot.
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D3.js and WebGL charts and maps for Python, MATLAB, R, and more.
diff --git a/_posts/pandas/2015-07-19-pandas_index.html b/_posts/pandas/2015-07-19-pandas_index.html index 7a27ac84cc15..cde2421f2fc8 100755 --- a/_posts/pandas/2015-07-19-pandas_index.html +++ b/_posts/pandas/2015-07-19-pandas_index.html @@ -12,7 +12,7 @@Cufflinks binds plotly to pandas dataframes in IPython notebook. Read more.
- Built on top of d3.js and stack.gl, plotly.js is a high-level, declarative charting library. plotly.js ships with 20 chart types, including 3D charts, statistical graphs, and SVG maps.
+ Built on top of d3.js and stack.gl, plotly.js is a high-level, declarative charting library. plotly.js ships with 20 chart types, including 3D charts, statistical graphs, and SVG maps.
Learn about why we open sourced plotly.js or view the source on GitHub.
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Config options set via our Open Source Graphing libraries are overridden on graphs hosted on plot.ly (i.e. when working online). +
Config options set via our Open Source Graphing Libraries are overridden on graphs hosted on plot.ly (i.e. when working online). To set configutation options online, you can edit the plot's embed url. Visit our embed tutorial: http://help.plot.ly/embed-graphs-in-websites/#step-8-customize-the-iframe for more information on customizing the embed url to remove the "Edit Chart" link, hide the modebar, or autosize the plot.
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