May-19-2024, 07:38 AM
@snippsat: Thank you! This is terrific. It works really well.
I made some light changes. For example, I commented out the “Python” activity raw duration data as well as the “Python” 182-day rolling mean line and then added the “Django” activity 90-day rolling mean. This enables me to compare the two categories. Here is how it looks now:
I thought the average/mean was what I needed, but apparently not. The lines gyrate sporadically. That’s not really what I had in mind. To refine my intention, what I was intending to achieve is all the “Python” activity data stacked (summed together) in quarterly increments. There should only be one data point every 3 months.
There is another way of explaining what I have set out to accomplish. If I replot the data as a bar graph with:
It looks to me like every individual data point is getting plotted. What I really want to do is stack all the “Python” and “Django” data points collected and summed together in 90 day intervals rather than all individually.
What changes do I need to make in order to achieve that?
I made some light changes. For example, I commented out the “Python” activity raw duration data as well as the “Python” 182-day rolling mean line and then added the “Django” activity 90-day rolling mean. This enables me to compare the two categories. Here is how it looks now:
I thought the average/mean was what I needed, but apparently not. The lines gyrate sporadically. That’s not really what I had in mind. To refine my intention, what I was intending to achieve is all the “Python” activity data stacked (summed together) in quarterly increments. There should only be one data point every 3 months.
There is another way of explaining what I have set out to accomplish. If I replot the data as a bar graph with:
plt.bar(python_df.index, python_df['Rolling_Mean_90'], label='Python 90-Day Rolling Average') plt.bar(django_df.index, django_df['Rolling_Mean_90'], label='Django 90-Day Rolling Average', color="red")As-is that parses like this:
It looks to me like every individual data point is getting plotted. What I really want to do is stack all the “Python” and “Django” data points collected and summed together in 90 day intervals rather than all individually.
What changes do I need to make in order to achieve that?
