That is not currently possible without diving deep in the code. sjvisualizer is provided for free of use so some advertisement is expected when using it.

Hello, to do this you can use the Total.total component. It should look something like this: " # adding total total = Total.total(canvas=canvas, df=df, x_pos=720/2 + 720 - 50, y_pos=320, font_size=font_size*1.2, prefix="Portfolio Value: ", unit="$") canvas.add_sub_plot(total) " The df should contain the averages you want to display. Easiest is to prepare an Excel file with the values you want to display and load it into the DataHandler class and pass that dataframe into the Total.total component. Good luck!

Yes you can, use the Total.total component. It shoud look something like this: " # adding total total = Total.total(canvas=canvas, df=df, x_pos=720/2 + 720 - 50, y_pos=320, font_size=font_size*1.2, prefix="Portfolio Value: ", unit="$") canvas.add_sub_plot(total) "

Hi Victor, Thank you for sending the screenshot. I am always keen on seeing how my tool is being used. I will be working on a fix for the sync issue soon hopefully. Just to reiterate on it, the reason it is going wrong is that the ticks on the x-axis are picked somewhat at random and behind the scenes they correspond to an actual date. So 2001 might correspond to 31 of March 2001, 2002 to 31 of July of that year, 2003 to 13 of December, etc. So the gap between the ticks is equal in the number of days but it could be that one year is not visable, as seen in your screenshot for 2005. Hope I didn't make it more confusing for you... Your question about the bar_stripes, I wouldn't touch this for now. What I meant is that if you are familiar with python you can update this code in the background, but I would refrain from doing this. You are correct about the total. Just create a new object using Total.total and pass in the canvas and your data frame. Something like this: from sjvisualizer import Total, Canvas canvas = Canvas.canvas() t = Total.total(canvas=canvas, df=df) canvas.add_sub_plot(t) You can also set the x_pos and y_pos, and the height as for any sub_plot. Hope this helps you. Kind regards, Sjoerd

* Good point about the years not being in sync with the dates. The reason this happens is that the y-ticks are equally spaced and behind the scenes an actual date is choosen in the given year, for example 2012 is displayed on the y-axis but, this could be the 1st of January or the 27th of July or any other date during that year. You can see this if you change the "time_indicator" to "day" or "month". But I will create a GitHub issue so that if only years are displayed on the axis that the script will sync the ticks to the data points. * Regarding not drawing the points at all. There is a an optional argument you can set when creating the line_graph to not draw the these points. Just set "draw_points" to False. Thanks for the feedback and hope this helps.

Hi Victor, Thank you for your questions. • I am not entirly sure what you mean by the dates do not correspond to the dates on the axis. When only using years in your data file, the script will convert that to the 31st of December of that year. If that is not what you want you can set it to the first of that year manually by providing the full date in your data file. • For the bar charts, at the moment the ticks for the bar chart are determined automatically by the script. I do admit, some improvements are needed there, and I will be working on that soon. At the moment these things can't be set in your main script. You would need to take a deep dive in BarRace.py and find the bar_stripes class. There you can set the color, size, and formatting. But please keep in mind that if you make changes to the script and you update it at some point that these changes will be overwritten. So do take a backup. Hope this helps. Kind regards, Sjoerd

That white bar is used to hide bars that are not in the top 10. My recommandation is to shift this bar down so it falls outside of the screen. You can do this by using the "shift" attribute when creating the bar_race object. This should look some thing like this: # creating the bar race bar_race = BarRace.bar_race(canvas=canvas.canvas, df=dfbar, colors=colors, width=725, height=225, x_pos=45, y_pos = 160, unit="$", font_color=FONT_COLOR, shift=100) You can set this to the number of pixels you want to move it down. Hope this helps.