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An integrated graphical environment for visual inspection and filtering of time-series for astronomy
This The project involves building an integrated graphical environment for visual inspection filtering of time-series for astronomy . With the progress of data science industry, it is very crucial to have advances in data visualization tools.Most of the existing tools for data analysis lack in efficient data exploration due to lack of graphical user interface . Displaying data graphically in form of plots, helps in quickly viewing the most important aspects of the given data and helps in finding the patterns and trends hidden in the Data . Project involves performing series of operations on the data , and produce interactive plots out of it , for analysis .
The project was done as a part of GSOC-16 programme .
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Clone the project :
git clone https://github.com/StingraySoftware/dave -
Install a Python virtual env and a compatible version of node:
source src/main/resources/bash/setup_dev_env.bash -
Run the application :
src/main/resources/bash/run_gui.bash
Link to source code
Link to commits
Following are the salient features that I implemented during the course of Gsoc Programme . Majority of them are already complete and merged , while few of them needs further improvements .
| Issue-ID | Brief Description |
|---|---|
| Completely Solved | |
| DAVE-3 | As a user I should be able to install the dependencies of the application |
| DAVE-4 | As an astronomer; I want to plot the light curve given as input a table with two columns of numbers: Time, Count Rate; so that I can visualise the count rate level and variability with time. |
| DAVE-5 | As an astronomer; I want to plot the light curve given as input a table with three columns of numbers: Time, Count Rate, Error on Count Rate; so that I can visualise the count rate level and variability with time and check if it is significant. |
| DAVE-6 | Plot light curve from FITS file |
| DAVE-7 | As an astronomer; I want to be able to select in time a region of the light curve and visualize it; so that I can check details and short-time variability in the light curve. |
| DAVE-8 | As an astronomer; I want to be able to select and visualize a region of the light curve by selecting a range of count rates; so that I can check details of specific features of the light curve such as spikes, or deselect others like instrumental drops. |
| DAVE-9 | Show coordinates in plot on mouse-over outside plot |
| DAVE-12 | When hovering over point/marker in graph, show labels outside |
| DAVE-13 | Change Flask server to send data in plottable form |
| DAVE-14 | Add file chooser dialog when clicking load spectrum |
| DAVE-16 | Error bars on x and y |
| DAVE-17 | Error handling on server |
| DAVE-18 | Allow loading files from outside datasets directory |
| DAVE-20 | Deselect data in plot |
| DAVE-21 | two plots from ASCII file |
| DAVE-22 | Select on one plot resize both plots |
| DAVE-23 | Filtering by selecting on plots - usability improvements |
| DAVE-25 | Clear filtering ranges |
| DAVE-26 | Adjust slider ranges to data |
| DAVE-27 | Dynamical Spectrum - 3D plot in 2D |
| Partially Solved | |
| DAVE-11 | Add packager for application |
| DAVE-15 | Automate Python tests |
| DAVE-28 | Multi plot visualization |
Taking part in Gsoc and working on this project gave me tremendous learning opportunity and helped me to expand my horizon . Thanks to Gsoc and Timelabs for giving me this amazing opportunity .Working on this project not only helped me to improve software development skills but also helped me in improving my work-management skills . The fact that my work will be used by great astronomers of the world , further motivates me to work harder on this project .
Danish Sodhi [email protected]
Paul Balm [email protected]
Simone Migliari [email protected]