Hi,
I would like to plot 365 lines with 23 hourly energy values (columns). There is also a column with the day of the name of the week, as I would like to stress the different behaviour along the week, and one with month name. I unpivoted the table and plotted putting “hours” in x axis and “Energy” in the y axis. Is there a way to color lines according to the color of the nominal value day of the week?
Thank you in advance for your support
I am not sure if I am understanding, but do you want to keep the same color you have assigned depending on the day (ie. Monday, Tuesday,…) ?
If you want to make sure a column uses the same coloring as another, say after you use the color manager, you can attach the blue square (the color model port) to a color appender to make sure you save that previous config of color assignment on a particular column, namely your days of week. It can look something like this:
sorry for the terrible delay, thank you for your kind answer. Maybe my question was not clear: I have to plot 365 lines (day) with hours as x-axis and Energy as y-axis, every day is a bell-shaped hourly energy function. I would like to have every line associated to a specific color, according to the colour assigned with Color Manager to nominal values of the day in another column (i.e. Sat and Sun = red lines, the other days in grey). The final plot should work as Scatter plot java script node with colorful dots according to nominal column records.
Thank you, I agree with you, especially using 7 boxplots for the days of week but I need to give a friendly output to let unexpert people understand the pattern, the behaviour of hourly energy consumption through the week (expecially during the weekend) and through the year. Moreover I have to emphasize the abnormal daily behavior that implies particular conditions.
Hi,
I meant to create a boxplot w 24 boxes (one for each Hour).
Alternatively I recommend to use a Python matplotlib lineplot w transparency enabled. The more lines are on the same position the darker the area gets.