This library provides a Python interface to the Open Visualization Environment (OVE) developed at the Imperial College Data Science Institute for use with the Data Observatory.
The source code can be downloaded from the Releases page or cloned by running:
git clone https://github.com/ove/ove-sdksTo install with setup.py:
cd ove-sdks/python
python setup.py installNote: The space is automatically put into offline mode which allows you to design your space without pushing changes live into the DO environment. If you wish to interact with the space directly you can enable online mode after import.
There is also an browser_opening mode: if both this and online mode is enabled, then the control page for a section will be automatically opened in your web browser after it is created.
from ove import save_file
from ove.ove import Space
space = Space(ove_host="localhost", space_name="LocalNine", control_port=8080)
# enable live mode if you wish to interact with the space directly
# space.enable_online_mode()
# uncomment this if you wish to automatically open control pages for new sections in a web browsers
# space.enable_browser_opening()
space.delete_sections()
video = space.add_section(w=2880, h=1616, x=720, y=404, app_type='videos')
video.set_url('https://www.youtube.com/watch?v=QJo-VFs1X5c')
# Wait for the video to buffer before calling the following command:
space.videos.play()
html = space.add_section(w=2880, h=1616, x=720, y=404, app_type='html')
html.set_url("http://metafilter.com")
image = space.add_section(w=5000, h=3000, x=7200, y=1000, app_type='images')
image.set_url("https://farm4.staticflickr.com/3107/2431422903_632ce51b56_o_d.jpg", "shelley")
map1 = space.add_section(w=5000, h=3000, x=10200, y=800, app_type='maps')
map1.set_position(latitude=0, longitude=0, zoom=5)
network = space.add_section(w=5000, h=3000, x=10200, y=800, app_type='networks')
network.set_data(json_url="https://raw.githubusercontent.com/ove/ove-apps/master/packages/ove-app-networks/src/data/sample.json")
chart = space.add_section_by_grid(w=1, h=1, r=0, c=0, app_type="charts")
chart.set_specification(spec_url="https://raw.githubusercontent.com/vega/vega/master/docs/examples/bar-chart.vg.json", options={"width": 900-35, "height": 900-35})
# the state of the space can be saved automatically with the save state file util function
save_file(json_state=space.to_json(title="Title of the presentation"), filename="my_state.json")Videos can also be controlled independently:
from ove.ove import Space
space = Space(ove_host="localhost", space_name="LocalNine", control_port=8080)
space.delete_sections()
video = space.add_section(w=2880, h=1616, x=720, y=404, app_type='videos')
video.set_url('https://www.youtube.com/watch?v=QJo-VFs1X5c')
video2 = space.add_section_by_grid(r=1, c=1, w=1, h=1, app_type='videos')
video2.set_url("https://www.youtube.com/watch?v=XY3NP4JHXZ4")
video.play()
video2.play()
video.pause()
video2.pause()ove-python also includes a local web-server that can be used to host images.
import matplotlib.pyplot as plt
from ove.server import Server
from ove.ove import Space
space = Space(ove_host="localhost", space_name="LocalNine", control_port=8080)
s = Server()
s.start_server()
a = plt.figure()
plt.plot([1, 2, 3], [4, 5, 6])
# share_matplotlib() exports a plot object to PNG, and returns the url where can be accessed
url = s.share_matplotlib(a)
image = space.add_section_by_grid(w=1, h=1, r=2, c=2, app_type='images')
image.set_url(url)Web content can be displayed in a similar way:
from ove.ove import Space
space = Space(ove_host="localhost", space_name="LocalNine", control_port=8080)
space.delete_sections()
space.set_grid(space.geometry["screen_rows"], space.geometry["screen_cols"])
html = space.add_section_by_grid(w=2, h=2, r=0, c=0, app_type='html')
html.set_url("http://metafilter.com")