![]() The original, full-version of the dataset consists of 62 columns of information digitized from the paper forms. The THOR data dictionary provides detailed information on the structure of the dataset.įor this tutorial, we’ll use a modified version of the WWII THOR dataset. This information can include the mission date, takeoff and target locations, the target type, aircraft involved, and the types and weights of bombs dropped on the target. THOR is made publicly available through a partnership between the US Department of Defense and data.world.Įach row in the THOR dataset contains information on a single mission or bombing run. The records were compiled from declassified documents by Lt. The Theater History of Operations Reports (THOR) lists aerial bombing operations during World War I, World War II, the Korean War, and the Vietnam War undertaken by the United States and Allied Powers. To reach these goals, we’ll work through a variety of visualization examples using THOR, a dataset that describes historical bombing operations. Add varying types of interactivity to your visualizations.Visualize quantitative, categorical, and geographic data for web display.Perform basic data manipulation, such as aggregating and sub-sampling raw data.Specifically, we will work through visualizing and exploring aspects of WWII bombing runs conducted by Allied powers.Īt the end of the lesson you will be able to: In this tutorial, you will learn how to do this in Python by using the Bokeh and Pandas libraries. The ability to load raw data, sample it, and then visually explore and present it is a valuable skill across disciplines. Time-Series and Annotations: Bombing Operations over Time.Stacked Bar Charts and Sub-sampling Data: Types of Munitions Dropped by Country.Categorical Data and Bar Charts: Munitions Dropped by Country.Bokeh and Pandas: Exploring the WWII THOR Dataset.Creating a Python 3 Virtual Environment.You can see more details about the difference at the bokeh server section on the official docs. I'd suggest you to consider running your code as a Bokeh App instead, so your session and your code run inside the bokeh server instance. You are designing/running your script as a bokeh script that uses a client session to the server (so you'll have a running instance of bokeh server somewhere and your script communicates with it). You don't need to call ds.trigger('data', ds.data, ds.data) since bokeh property system will automatically detect your changes to the datasource fields inside your callback Always be sure to use the right docs for the version of Bokeh you are using since there might be a few changes between one version and another before the project reach 1.0. On your question you've mentioned a link to the 0.10 version documentation but from your code I can tell you are not using a newer version ( 0.11.x). State is a more general component that should be used on different level and not to manage plot glyphs and datasources. So, for instance, on your example you should have: else:Īnd that should do the trick. If all you want is to restart the animation once you reach some condition (like "all points have been plotted") you can just reset the DataSource. Change at user's discretion.Ĭurdoc().add_periodic_callback(callback, 67) # create a callback that will add a number in a random location # add a text renderer to out plot (no data yet) X_range=(min(xlist), max(xlist)), y_range=(min(ylist), max(ylist)),) # create a plot and style its properties. # This is where the actual coding begins. Here is my code so far plotting a random trajectory: import numpy as npįrom otting import figure, show, gridplot, vplot, hplot, curdocįrom import State as new I have looked at the following as well for reference: I thought I was on the right track with importing using the reset function inside an if statement, but it doesn't seem to work. I am still very unfamiliar with coding terms, and I wasn't able to find something that could do this. I want to be able to loop the animation so that once all the points are plotted, it clears itself and starts over. I have been able to successfully create a program that plots the points, but once all the points are plotted, it stops. I'm using Bokeh to plot trajectory profiles of particles diffusing in the brain, but have it be animated. I'm new to Bokeh and Python, and this is my first Stack Overflow question as well.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |