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factorplot main title overlaps sub titles in seaborn

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2

I have produced the below chart. As you can see the main title is overlapping the subtitles of the graphs. I tried different methods but none of them seems to be working. I have also attached my code.

def save_multi_columns_categorical_charts(df, chart, columns, y, hue, title, single_statistic=False,
 single_statistic_name=None, kind='point', col='Message Size (Bytes)'):
 filename = chart + ".png"
 print("Creating chart: " + title + ", File name: " + filename)
 fig, ax = plt.subplots()
 all_columns = [col,'Back-end Service Delay (ms)', 'Concurrent Users','Scenario Name']
 all_columns.extend(columns)
 df_results = df[all_columns]

 df_results['new_var'] = df_results[col] + ' - ' + df_results['Scenario Name']


 g = sns.factorplot(x="Concurrent Users", y='Throughput (Requests/sec)',
 hue='new_var', col='Back-end Service Delay (ms)',
 data=df_results, kind=kind,
 size=5, aspect=1, col_wrap=2, legend=False)



 plt.subplots_adjust(top=10, left=0.1)
 g.fig.suptitle(title,y=1.08) # can also get the figure from plt.gcf()
 plt.legend(loc=2, frameon=True, title="Response Time Summary")

 plt.savefig(filename)
 plt.clf()
 plt.cla()
 plt.close(fig)

python-3.x matplotlib plot formatting seaborn

share|improve this question

asked Mar 8 at 6:22

Suleka_28Suleka_28

755618

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  If you change y=1.08 in g.fig.suptitle what happens? You might have to adjust the spacing of top in subplots_adjust too
  
  – DavidG
  Mar 8 at 10:46
  
  

  
  
  
  

add a comment | 

2

I have produced the below chart. As you can see the main title is overlapping the subtitles of the graphs. I tried different methods but none of them seems to be working. I have also attached my code.

def save_multi_columns_categorical_charts(df, chart, columns, y, hue, title, single_statistic=False,
 single_statistic_name=None, kind='point', col='Message Size (Bytes)'):
 filename = chart + ".png"
 print("Creating chart: " + title + ", File name: " + filename)
 fig, ax = plt.subplots()
 all_columns = [col,'Back-end Service Delay (ms)', 'Concurrent Users','Scenario Name']
 all_columns.extend(columns)
 df_results = df[all_columns]

 df_results['new_var'] = df_results[col] + ' - ' + df_results['Scenario Name']


 g = sns.factorplot(x="Concurrent Users", y='Throughput (Requests/sec)',
 hue='new_var', col='Back-end Service Delay (ms)',
 data=df_results, kind=kind,
 size=5, aspect=1, col_wrap=2, legend=False)



 plt.subplots_adjust(top=10, left=0.1)
 g.fig.suptitle(title,y=1.08) # can also get the figure from plt.gcf()
 plt.legend(loc=2, frameon=True, title="Response Time Summary")

 plt.savefig(filename)
 plt.clf()
 plt.cla()
 plt.close(fig)

python-3.x matplotlib plot formatting seaborn

share|improve this question

asked Mar 8 at 6:22

Suleka_28Suleka_28

755618

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  If you change y=1.08 in g.fig.suptitle what happens? You might have to adjust the spacing of top in subplots_adjust too
  
  – DavidG
  Mar 8 at 10:46
  
  

  
  
  
  

add a comment | 

I have produced the below chart. As you can see the main title is overlapping the subtitles of the graphs. I tried different methods but none of them seems to be working. I have also attached my code.

def save_multi_columns_categorical_charts(df, chart, columns, y, hue, title, single_statistic=False,
 single_statistic_name=None, kind='point', col='Message Size (Bytes)'):
 filename = chart + ".png"
 print("Creating chart: " + title + ", File name: " + filename)
 fig, ax = plt.subplots()
 all_columns = [col,'Back-end Service Delay (ms)', 'Concurrent Users','Scenario Name']
 all_columns.extend(columns)
 df_results = df[all_columns]

 df_results['new_var'] = df_results[col] + ' - ' + df_results['Scenario Name']


 g = sns.factorplot(x="Concurrent Users", y='Throughput (Requests/sec)',
 hue='new_var', col='Back-end Service Delay (ms)',
 data=df_results, kind=kind,
 size=5, aspect=1, col_wrap=2, legend=False)



 plt.subplots_adjust(top=10, left=0.1)
 g.fig.suptitle(title,y=1.08) # can also get the figure from plt.gcf()
 plt.legend(loc=2, frameon=True, title="Response Time Summary")

 plt.savefig(filename)
 plt.clf()
 plt.cla()
 plt.close(fig)

python-3.x matplotlib plot formatting seaborn

share|improve this question

asked Mar 8 at 6:22

Suleka_28Suleka_28

755618

def save_multi_columns_categorical_charts(df, chart, columns, y, hue, title, single_statistic=False,
 single_statistic_name=None, kind='point', col='Message Size (Bytes)'):
 filename = chart + ".png"
 print("Creating chart: " + title + ", File name: " + filename)
 fig, ax = plt.subplots()
 all_columns = [col,'Back-end Service Delay (ms)', 'Concurrent Users','Scenario Name']
 all_columns.extend(columns)
 df_results = df[all_columns]

 df_results['new_var'] = df_results[col] + ' - ' + df_results['Scenario Name']


 g = sns.factorplot(x="Concurrent Users", y='Throughput (Requests/sec)',
 hue='new_var', col='Back-end Service Delay (ms)',
 data=df_results, kind=kind,
 size=5, aspect=1, col_wrap=2, legend=False)



 plt.subplots_adjust(top=10, left=0.1)
 g.fig.suptitle(title,y=1.08) # can also get the figure from plt.gcf()
 plt.legend(loc=2, frameon=True, title="Response Time Summary")

 plt.savefig(filename)
 plt.clf()
 plt.cla()
 plt.close(fig)

share|improve this question

asked Mar 8 at 6:22

Suleka_28Suleka_28

755618

share|improve this question

asked Mar 8 at 6:22

Suleka_28Suleka_28

755618

asked Mar 8 at 6:22

Suleka_28Suleka_28

755618

asked Mar 8 at 6:22

Suleka_28Suleka_28

755618