Tutorial: Cinema Viewers

This tutorial will help the user explore the CinemaScience ecosystem. It will discuss how to view Cinema databases (CDBs) with the standard Cinema Viewers.

The CinemaScience GitHub page and the CinemaScience website are useful sources for more information and ideas.


To use browser based viewers, you need to allow local file access. See A Note on Browser Security for more information.

Viewing Cinema Databases

The basic Cinema viewers operate on the Cinema Spec D specification. In each case, CDBs are assumed to reside in a data/ directory. Each CDB consists of a default data.csv file with columns of data abstracts following Spec D requirements (see CinemaScience Specifications), and any subdirectories needed for the data abstracts such as images, vti files, or additional csv files. The database viewers are described below.


Cinema:View is designed to access the images within one or more CDBs, providing sliders spanning the values in the databases in order to select a specific image or set of comparison images. Cinema:View can be downloaded from the cinema_view GitHub page. This download will result in several directories and a cinema_view.html:

$ ls -l

The data/ directory includes a databases.json file and a test CDB, sphere.cdb with its required data.csv, and an image/ subdirectory with the images arranged into subfolders by the phi variable.


In the default sphere example, there are 20 phi values and 1 theta value saved in the data.csv:


The cinema_view.html file defines the set of databases to display in the dataSets variable.

Opening cinema_view.html in Firefox:

$ open cinema_view.html -a Firefox

will bring up the Cinema:View viewer, shown in Fig. 12. The sliders allow you to change the image size and the orientation.

MPAS image

Fig. 12 Using Cinema:View to explore a single Cinema database, a sphere.

This basic viewer allows the user to view a single database or a set of databases, e.g., Fig. 13, created with the same parameter set.

Three different versions of the Sedov blast wave viewed in Cinema:View.

Fig. 13 Using Cinema:View to explore a multiple Cinema databases, three visualizations of a Sedov blast wave.

The set of databases can be changed by editing the data/databases.json file (example below). The dropdown menu allows the user to select the database or set of databases to view. If viewing a set of databases, the sliders control all three databases in common.

		"database_name-comment" : "The name of the dataset. It will appear in the dropdown.",
		"database_name": "sphere test",

		"databases-comment" : "JSON array containing list of datasets to compare",
				"name-comment": "Each dataset must have a name that will appear at the top of the image",
				"name": "sphere",

				"location-comment" : "Location of the cinema database relative to cinema root or absolute paths",
				"location": "data/sphere.cdb"

		"database_name": "sedov test",
				"name": "sedov 1",
				"location": "data/sedov1.cdb"

				"name": "sedov 2",
				"location": "data/sedov2.cdb"

				"name": "sedov 3",
				"location": "data/sedov3.cdb"


Mistyping a database name or forgetting the data/ directory part will result in a TypeError. Open the console window if nothing appears and check for the error. If so, check the data/databases.json file for errors.

TypeError: results is undefined


CinemaExplorer is a parallel coordinates approach to selecting and viewing data in a Cinema database. CinemaExplorer can be downloaded from the cinema_explorer GitHub page. This download will result in several directories and an cinema_explorer.html:

$ ls -l

The default data/ directory contains subdirectories with example CDBs to illustrate the range of functionality of CinemaExplorer. Again, each CDB consists of a data.csv file and any needed subdirectories for its data artifacts. An image/ directory is common and the file_types.cdb includes a wavelet/ subdirectory with vti files that can be viewed with CinemaExplorer.


The set of databases for CinemaExplorer is defined in a databases.json file found in:


databases.json follows JSON syntax rules. Each database entry minimally requires a name and a directory.

                 "name" : "sphere",
                  "directory" : "data/sphere.cdb"
     "name" : "Many File Types",
     "directory" : "data/file_types.cdb"

Opening the cinema_explorer/cinema_explorer.html file in Firefox

$ open cinema_explorer.html -a Firefox

will bring up Cinema:Explorer in a browser window. The default view has a parallel coordinates display of the data.csv columns. Each column corresponds to an axis. Fig. 14 shows a simple sphere in Cinema:Explorer.

Image of a sphere in Cinema Explorer

Fig. 14 A simple sphere database in a Cinema:Explorer window

By default, the first database listed in databases.json will initially load. All databases in databases.json will appear in a dropdown, Fig. 15 (left), menu under Select Database: in the CinemaExplorer browser window. After selecting a CDB, click on the Load, Fig. 15 (right), button to switch to that CDB.

Dropdown menu for selecting a database to load.

Fig. 15 A dropdown menu displays databases listed in the databases.json control file. Don’t forget to press the Load button to load a new database.

Under the parallel coordinates, the default tab is the Image Spread component. The image spread includes controls to change the image size, the results per page, and the sort variable and order. Let’s switch to the Big Bogus 2 database, Fig. 16. It has several additional axes of (bogus) variables and more images than can fit in a single page. Note that CinemaExplorer switches between Canvas and SVG versions to accommodate the size of the database.

Big bogus database with lots of parameters and pictures of frogs.

Fig. 16 This database illustrates the ability to have many parameters or variables in a large database linking to specific images. The page navigation widget at the bottom of the Image Spread allows the user to cycle through all the images.

The second tab, on the right, is a ScatterPlot component. Each axis variable can be chosen from a dropdown menu of all axes so each variable can be plotted against any other variable.

An image of the scatter plot tab

Fig. 17 The scatter plot tab is part of the default Cinema:Explorer capability. Dropdown menus for each axis allows the user to select a specific variable for that axis.

The parallel component view provides a standard set of flexible actions to select and highlight data. Hovering over a specific data point or image in the CDB highlights its trace in the parallel coordinates plot and brings up a card with the detailed information from that database row, Fig. 18.

Linked highlighting typical of parallel coordinates.

Fig. 18 Parallel coordinates support linked views – highlighting an entry in one linked plot will highlight the same entry in the scatterplot or in the image spread.

Another useful feature is a modal view. Clicking on a single image will bring up that image for closer inspection. Clicking anywhere in the main screen will dismiss the modal image. In Fig. 19, we select the image highlighted above.

Modal view -- a closeup of one image.

Fig. 19 Modal view is used to show a closeup of a single image.

A subset of the data can be selected via the parallel component axes. Left-mouse-click-hold-and-drag to select a range on an axis. A subset of six of the original 20 images is now visible in Fig. 20. That range can be shifted by hovering over the selected range then left-mouse-click and hold-and-drag. Or it can be modified by selecting one edge and dragging just that edge to increase or decrease the selection range. In Fig. 21, the range has been decreased to only select four of the database rows/images:

Axis selection on the parallel coordinates.

Fig. 20 Selecting a range on the phi axis shows only those images linked to the phi values in that range.

Axis selection on the parallel coordinates.

Fig. 21 The range has been decreased to only include four images.

The selection can be cancelled by clicking on the previously selected axis (in an unselected area). Defining and selecting ranges on the axes is a particularly useful feature to, e.g., identify and explore outliers in the data.

Optional Control Fields for databases.json

There are three optional control fields that can be implemented within the database.json file to control the data viewed on the parallel coordinates axes.

  • filter is a JSON regular expression which removes the specified axes (columns) whose header matches the regex. Note that adding filter will override the default filtering for any FILE columns so those will need to be explicitly removed. This example with the Bogus 1 data removes the Float_6 axis and all axes that begin with FILE:
  "name" : "Bogus 1",
  "directory" : "data/bogus/bogus_1.cdb",
  "filter" : "(^Float_6)|(^FILE)"
  • query queries the database and only displays those rows that match the criterion for the columns queried. This example with the Bogus 1 data displays only those rows where Float_6 is within the range [20-70] and Interger_2 is within the range [40, 60]:
  "name" : "Bogus 1",
  "directory" : "data/bogus/bogus_1.cdb",
  "query": {
    "Float_6" : [20, 70],
    "Integer_2": [40, 60]
  • selection applies an axis selection when the database is loaded but loads all database rows. This example with the Bogus 1 data brings up the database with the selection on Integer_3 already in place, Fig. 22.
  "name" : "Bogus 1",
  "directory" : "data/bogus/bogus_1.cdb",
  "selection": {
                      "Integer_3": [20, 50]
Preselecting a range on an axis

Fig. 22 The Integer_3 axis has a pre-selected range applied.


Cinema:Scope is a prototype cross platform application viewer to interactively explore images in a Cinema database. Cinema:Scope can be found on the cinema_scope GitHub page. Under the readme, click on buildpassing to bring up the list of builds. Currently, builds are available for Linux, Windows, MacOS, and MacOS/Xcode.

list of builds

Fig. 23 Cinema:Scope uses GitHub’s Travis CI. The dashboard shows current builds.

Download the relevant build and install. Test databases are available in https://github.com/cinemascience/cinema_scope/tree/master/docs/data/test_cylinder.cdb.zip.

Open CinemaScope after it has installed. Click on File -> Open to open the directory and select the data set by highlighting test_cylinder.cdb (do not click into the directory) and clicking Open, Fig. 24. A test cylinder is viewed in Fig. 25.

File open examples for Cinema Scope

Fig. 24 Left: click on File -> Open and navigate to the location of the <filename>.cdb database that you want to open. Select but do not click into the cdb directory.

A test cylinder in Cinema Scope

Fig. 25 A test cylinder is view in Cinema:Scope.

The mouse wheel can be used to increase/decrease image size. Each parameter in the CDB data.csv will correspond to a slider. The sliders can be used to control the parameter values. In this case, changing phi and theta rotate the cylinder, Fig. 26.

A rotated cylinder in Cinema Scope.

Mouse drag can also be used to scroll through the images. Up/down is linked by default to theta while left/right is linked to phi. The linked parameters can be modified using the Map Parameters Dialog shown in Fig. 27. Click Edit –> Edit Parameters to open the dialog and select the parameters from each dropdown menu. For CDBs with multiple artifacts, the Artifact dropdown menu will allow you to access each set of images.


Fig. 27 The Map Paramters Dialog box can be used to map the intuitive mouse controls to specific parameters in the Cinema database that is being viewed in Cinema:Scope.

An optional csettings.json file, which must be located in the *.cdb directory, can be used to limit the number of parameters actually linked to a slider or reorder a list of parameter columns. The colorder (“column order”) variable contains the list of actively linked parameters.

    "colorder" : ["phi", "theta", "xValue", "yValue", "zValue", "FILE", "FILE_2"]

Other Cinema viewers

Additionally, there are other application-specific Cinema viewers that provide useful examples and inspiration for Cinema users and developers. We invite you to explore the CinemaScience GitHub for an up-to-date listing of example viewers. Cinema Viewers, in particular CinemaScope, are in active development. We invite users to join the Cinema community and contribute to the Cinema project.