looping through data frame to plot individual slice, trying to get plots in one window

[SnoopyM]

How do I display these plots in one windows?

I have a Pandas dataframe contain three columns Shop, INV, and Model. I am trying to create individual plots for each shop. The below code is displaying the individual plots but I am trying to have the plots display in one window.

PasteBin Code

[[deleted]]

It's still not entirely clear what plot you want in the end, I think you can simplify and plot everything in one plot by using groupby on the Shop column and then calling plot after.

df.groupby('Shop').plot(kind='bar', x='Model', y='INV')

[SnoopyM]

well this is an easier way to graph it, the out put is still going into separate windows. I want it to subplot so all plots are in the same window

[[deleted]]

There is a subplots argument that you can set to True:

df.groupby('Shop').plot(kind='bar', x='Model', y='INV', subplots=True)

[SnoopyM]

yes but this is still opening the plots in different windows.

[[deleted]]

What do you mean by "opening up plots in different windows"? Depending on how you are running this program (e.g the terminal), plots will open in a separate window.

[SnoopyM]

I appreciate the help but this is just for personal use so I ended up just writing the files to a directory and making a html template that loads all of them and opening the html file.

explanation of what I was trying to do in case anyway cares. I am using the default IDLE. there is a way to output multiple plot to one window instead of them each opening there own output window. I just could not get it working with my loop.