Issue generating a line plot from a Series when previous plots are already defined

[RickOldenburger]

Code Sample, a copy-pastable example if possible

        df = self.getStats() # returns a dataFrame with a row called Rounds
        totalMatches = len(df)
        if (totalMatches == 0):
            print("Need to play at least one match for a graph", flush = True)
            return
        vc = df["Rounds"].value_counts()
        x = vc.plot(legend=True, figsize=[10, 8])
        x.set_xlabel("Number of Rounds to Win")
        x.set_ylabel("Occurrences")
        x.set_title("Value-Count Graph (Matches: " + str(totalMatches) + ")")
        
        Occurences = max(vc) + 1
        # for small values set y tic mark text
        if Occurences <= 20:
            yText = [] # Stores our Y-Axis text
            
            for i in range(1, Occurences):
                yText.append(f'${i}$')
            plt.yticks(np.arange(1, Occurences), yText, ha="center")
        
        plt.show()

The code above works fine unless the following has been executed to make "popout" graphs

%matplotlib qt5

If a previous graph exists from a previous run, and is still up. Then this graph will have additions added directly to it. Please see the images for what is happening.

It should be noted, I am using version 0.25.3 of pandas, and I searched and could not find this issue already logged.

1. The reason this is an issue is that it leads to potentially different results each time the program is executed.
2. It only occurs with pandas Series objects. (I tested and it is not an issue for dataFrames.)

You can find the full python program at:
https://github.com/RickOldenburger/War-Card-Game-Analysis

There is a work around and I have applied it in my program.
change the statement:
x = vc.plot(legend=True, figsize=[10, 8])

to these two statments:
plt.figure(figsize=(10, 8))
x = vc.plot.line(legend=True) # no point in having the figsize defined twice

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https://pandas-docs.github.io/pandas-docs-travis/

If the issue has not been resolved there, go ahead and file it in the issue tracker.

Expected Output

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]

[TomAugspurger]

@RickOldenburger can you provide a minimal example when you file issues?

IIUC, the question is about Series.plot vs. DataFrame.plot different w.r.t. plotting on an existing axis. If so, that's discussed in #8776. Let me know if I misunderstood.

[RickOldenburger]

Hi Tom, thanks for the quick reply. The reason I opened a new issue is that I considered issue #8776 <#8776> to be occurring only when the application was still running. (perhaps, is misunderstood...) IE. I already had graph up in the current running application. In fact, in this scenario, I believe that the dataFrame should be changed to work like the Series. My scenario occurs with a graph that is present after the application has finished executing. This will result in a graph (that could theoretically be a graph launched from an entirely different application) being affected that is not related to the current execution. This will result in an execution having different results depending on what graphs, if any, are currently active. Best regards, Rick

…

On Fri, Jan 17, 2020 at 3:16 PM Tom Augspurger ***@***.***> wrote: @RickOldenburger <https://github.com/RickOldenburger> can you provide a minimal example when you file issues? IIUC, the question is about Series.plot vs. DataFrame.plot different w.r.t. plotting on an existing axis. If so, that's discussed in #8776 <#8776>. Let me know if I misunderstood. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#31086?email_source=notifications&email_token=AOJIXEUNCP6CPIGUR5ZCLHLQ6INZLA5CNFSM4KHZXG42YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEJI7U2Q#issuecomment-575797866>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AOJIXETRFRS3YG5ZNMNHUBTQ6INZLANCNFSM4KHZXG4Q> .