[Matplotlib-users] Bizarre clipping of title when markers used

[Neal Becker]

Looks like I can't reproduce it now

On Tue, Jun 12, 2018 at 9:34 AM Neal Becker <ndbecker2 at gmail.com> wrote:

> Sorry, got busy on other things.  The title seems to be clipped by the top
> axis.  Maybe I can make a screenshot.
>
> On Sun, Jun 10, 2018 at 11:21 AM Thomas Caswell <tcaswell at gmail.com>
> wrote:
>
>> Neal,
>>
>> Can you reproduce this with random data?  From which side is the text
>> clipped?
>>
>> Tom
>>
>> On Fri, Jun 8, 2018 at 8:18 AM Neal Becker <ndbecker2 at gmail.com> wrote:
>>
>>> Neal Becker wrote:
>>>
>>> > I haven't been able to reproduce yet in a minimal example, but in this
>>> > code, if markers are used in the plot, then the title is clipped off
>>> and
>>> > not shown.  If the markers= is commented out, then the title is fine.
>>> I
>>> > know it's clipped, because if I specify
>>> > set_title ('blah', y=0.5) < set y to something < .95
>>> > Then the title is displayed (but in the wrong position).
>>> >
>>> > So, if markers are present, title is clipped off.  No markers, title is
>>> > fine.
>>> >
>>> > My code is here (you can't run it I'm afraid):
>>> >
>>> > matplotlib=2.2.2
>>> >
>>> > import pandas as pd
>>> >
>>> > def do_plot(other_csv, mine_xlsx, name):
>>> >     df_tdla_96 = pd.read_csv (other_csv)
>>> >     df_tdla_96_mine = pd.read_excel (mine_xlsx)
>>> >     df_tdla_96_mine = df_tdla_96_mine[['esno_corrected', 'per']]
>>> >     df_tdla_96_mine.rename (index=str, columns={'esno_corrected' :
>>> 'SNR',
>>> > 'per' : 'Hughes'}, inplace=True)
>>> >     df_tdla_96.drop(labels='Hughes', inplace=True, axis=1)
>>> >     df_tdla_96_merge = pd.merge(left=df_tdla_96, right=df_tdla_96_mine,
>>> > on='SNR')
>>> >     from matplotlib.lines import Line2D
>>> >     from itertools import cycle
>>> >     m_cycle = cycle(Line2D.filled_markers)
>>> >     import matplotlib.pyplot as plt
>>> >     fig, ax = plt.subplots()#, sharex=True)
>>> >     for company  in df_tdla_96_merge.columns[1:]:
>>> >         df = df_tdla_96_merge[['SNR', company]]
>>> >         ax.semilogy(df['SNR'], df[company], marker='x')
>>> >     ax.set_title('Simple plot')
>>> >     #ax.set_title('blah', fontsize=12, y=0.95)
>>> >     # ax.set_xlabel('SNR')
>>> >     # ax.set_ylabel('BLER')
>>> >     # ax.legend(loc='best')
>>> >     #fig.suptitle('blah', fontsize=12, x=0.5, y=0.9)
>>> >     ax.grid()
>>> >     #plt.tight_layout()
>>> >     plt.show()
>>> >
>>> >     #plt.tight_layout()
>>> >     #plt.savefig('tdla_96.pdf')
>>> >
>>> > do_plot('tdla_96_other.csv', 'tdla_96_mrc_wiener.xlsx', 'TDLA 96
>>> CP-OFDM')
>>>
>>> It appears adding ax.set(clip_on=False) fixes it, but this bug seems
>>> very
>>> strange.
>>>
>>>
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>>
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