Display percentage above bar chart in matplotlib












1














The following are the pandas dataframe and the bar chart generated from it:



colors_list = ['#5cb85c','#5bc0de','#d9534f']

result.plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)

plt.legend(labels=result.columns,fontsize= 14)

plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)



plt.xticks(fontsize=14)

for spine in plt.gca().spines.values():

    spine.set_visible(False)

plt.yticks()


Dataframe



Bar Chart



I need to display the percentages of each interest category for the respective subject above their corresponding bar. I can create a list with the percentages, but I don't understand how to add it on top of the corresponding bar.






python pandas matplotlib







share|improve this question




















  • 1




    Please take a look at this link. This should give a decent idea on how to add link
    – Tejeshwar Gurram
    Aug 29 '18 at 15:23










  • How are you creating your list of percentages? can you add that code with list name?
    – Chris A
    Aug 29 '18 at 16:08
















1














The following are the pandas dataframe and the bar chart generated from it:



colors_list = ['#5cb85c','#5bc0de','#d9534f']

result.plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)

plt.legend(labels=result.columns,fontsize= 14)

plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)



plt.xticks(fontsize=14)

for spine in plt.gca().spines.values():

    spine.set_visible(False)

plt.yticks()


Dataframe



Bar Chart



I need to display the percentages of each interest category for the respective subject above their corresponding bar. I can create a list with the percentages, but I don't understand how to add it on top of the corresponding bar.






python pandas matplotlib







share|improve this question




















  • 1




    Please take a look at this link. This should give a decent idea on how to add link
    – Tejeshwar Gurram
    Aug 29 '18 at 15:23










  • How are you creating your list of percentages? can you add that code with list name?
    – Chris A
    Aug 29 '18 at 16:08














1












1








1


1





The following are the pandas dataframe and the bar chart generated from it:



colors_list = ['#5cb85c','#5bc0de','#d9534f']

result.plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)

plt.legend(labels=result.columns,fontsize= 14)

plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)



plt.xticks(fontsize=14)

for spine in plt.gca().spines.values():

    spine.set_visible(False)

plt.yticks()


Dataframe



Bar Chart



I need to display the percentages of each interest category for the respective subject above their corresponding bar. I can create a list with the percentages, but I don't understand how to add it on top of the corresponding bar.






python pandas matplotlib







share|improve this question















The following are the pandas dataframe and the bar chart generated from it:



colors_list = ['#5cb85c','#5bc0de','#d9534f']

result.plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)

plt.legend(labels=result.columns,fontsize= 14)

plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)



plt.xticks(fontsize=14)

for spine in plt.gca().spines.values():

    spine.set_visible(False)

plt.yticks()


Dataframe



Bar Chart



I need to display the percentages of each interest category for the respective subject above their corresponding bar. I can create a list with the percentages, but I don't understand how to add it on top of the corresponding bar.






python pandas matplotlib




python pandas matplotlib






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Aug 29 '18 at 16:39









nnyby

2,14173782




2,14173782










asked Aug 29 '18 at 15:18









raniphoreraniphore

316




316








  • 1




    Please take a look at this link. This should give a decent idea on how to add link
    – Tejeshwar Gurram
    Aug 29 '18 at 15:23










  • How are you creating your list of percentages? can you add that code with list name?
    – Chris A
    Aug 29 '18 at 16:08














  • 1




    Please take a look at this link. This should give a decent idea on how to add link
    – Tejeshwar Gurram
    Aug 29 '18 at 15:23










  • How are you creating your list of percentages? can you add that code with list name?
    – Chris A
    Aug 29 '18 at 16:08








1




1




Please take a look at this link. This should give a decent idea on how to add link
– Tejeshwar Gurram
Aug 29 '18 at 15:23




Please take a look at this link. This should give a decent idea on how to add link
– Tejeshwar Gurram
Aug 29 '18 at 15:23












How are you creating your list of percentages? can you add that code with list name?
– Chris A
Aug 29 '18 at 16:08




How are you creating your list of percentages? can you add that code with list name?
– Chris A
Aug 29 '18 at 16:08












1 Answer
1






active

oldest

votes


















2














Try this way:



colors_list = ['#5cb85c','#5bc0de','#d9534f']



# Change this line to plot percentages instead of absolute values

ax = (result.div(result.sum(1), axis=0)).plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)

plt.legend(labels=result.columns,fontsize= 14)

plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)



plt.xticks(fontsize=14)

for spine in plt.gca().spines.values():

    spine.set_visible(False)

plt.yticks()



# Add this loop to add the annotations

for p in ax.patches:

    width, height = p.get_width(), p.get_height()

    x, y = p.get_xy() 

    ax.annotate('{:.0%}'.format(height), (p.get_x()+.15*width, p.get_y() + height + 0.01))


plot






share|improve this answer





















  • You can also have the percentages horizontally centered at respective bars center. Modify the ax.annotate expression to this: ax.annotate('{:.0%}'.format(height), (p.get_x()+.5*width, p.get_y() + height + 0.01), ha = 'center')
    – Alex Potapenko
    Dec 3 '18 at 19:19













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1 Answer
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active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









2














Try this way:



colors_list = ['#5cb85c','#5bc0de','#d9534f']



# Change this line to plot percentages instead of absolute values

ax = (result.div(result.sum(1), axis=0)).plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)

plt.legend(labels=result.columns,fontsize= 14)

plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)



plt.xticks(fontsize=14)

for spine in plt.gca().spines.values():

    spine.set_visible(False)

plt.yticks()



# Add this loop to add the annotations

for p in ax.patches:

    width, height = p.get_width(), p.get_height()

    x, y = p.get_xy() 

    ax.annotate('{:.0%}'.format(height), (p.get_x()+.15*width, p.get_y() + height + 0.01))


plot






share|improve this answer





















  • You can also have the percentages horizontally centered at respective bars center. Modify the ax.annotate expression to this: ax.annotate('{:.0%}'.format(height), (p.get_x()+.5*width, p.get_y() + height + 0.01), ha = 'center')
    – Alex Potapenko
    Dec 3 '18 at 19:19


















2














Try this way:



colors_list = ['#5cb85c','#5bc0de','#d9534f']



# Change this line to plot percentages instead of absolute values

ax = (result.div(result.sum(1), axis=0)).plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)

plt.legend(labels=result.columns,fontsize= 14)

plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)



plt.xticks(fontsize=14)

for spine in plt.gca().spines.values():

    spine.set_visible(False)

plt.yticks()



# Add this loop to add the annotations

for p in ax.patches:

    width, height = p.get_width(), p.get_height()

    x, y = p.get_xy() 

    ax.annotate('{:.0%}'.format(height), (p.get_x()+.15*width, p.get_y() + height + 0.01))


plot






share|improve this answer





















  • You can also have the percentages horizontally centered at respective bars center. Modify the ax.annotate expression to this: ax.annotate('{:.0%}'.format(height), (p.get_x()+.5*width, p.get_y() + height + 0.01), ha = 'center')
    – Alex Potapenko
    Dec 3 '18 at 19:19
















2












2








2






Try this way:



colors_list = ['#5cb85c','#5bc0de','#d9534f']



# Change this line to plot percentages instead of absolute values

ax = (result.div(result.sum(1), axis=0)).plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)

plt.legend(labels=result.columns,fontsize= 14)

plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)



plt.xticks(fontsize=14)

for spine in plt.gca().spines.values():

    spine.set_visible(False)

plt.yticks()



# Add this loop to add the annotations

for p in ax.patches:

    width, height = p.get_width(), p.get_height()

    x, y = p.get_xy() 

    ax.annotate('{:.0%}'.format(height), (p.get_x()+.15*width, p.get_y() + height + 0.01))


plot






share|improve this answer












Try this way:



colors_list = ['#5cb85c','#5bc0de','#d9534f']



# Change this line to plot percentages instead of absolute values

ax = (result.div(result.sum(1), axis=0)).plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)

plt.legend(labels=result.columns,fontsize= 14)

plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)



plt.xticks(fontsize=14)

for spine in plt.gca().spines.values():

    spine.set_visible(False)

plt.yticks()



# Add this loop to add the annotations

for p in ax.patches:

    width, height = p.get_width(), p.get_height()

    x, y = p.get_xy() 

    ax.annotate('{:.0%}'.format(height), (p.get_x()+.15*width, p.get_y() + height + 0.01))


plot







share|improve this answer












share|improve this answer



share|improve this answer










answered Aug 29 '18 at 16:17









Chris AChris A

2,297315




2,297315












  • You can also have the percentages horizontally centered at respective bars center. Modify the ax.annotate expression to this: ax.annotate('{:.0%}'.format(height), (p.get_x()+.5*width, p.get_y() + height + 0.01), ha = 'center')
    – Alex Potapenko
    Dec 3 '18 at 19:19




















  • You can also have the percentages horizontally centered at respective bars center. Modify the ax.annotate expression to this: ax.annotate('{:.0%}'.format(height), (p.get_x()+.5*width, p.get_y() + height + 0.01), ha = 'center')
    – Alex Potapenko
    Dec 3 '18 at 19:19


















You can also have the percentages horizontally centered at respective bars center. Modify the ax.annotate expression to this: ax.annotate('{:.0%}'.format(height), (p.get_x()+.5*width, p.get_y() + height + 0.01), ha = 'center')
– Alex Potapenko
Dec 3 '18 at 19:19






You can also have the percentages horizontally centered at respective bars center. Modify the ax.annotate expression to this: ax.annotate('{:.0%}'.format(height), (p.get_x()+.5*width, p.get_y() + height + 0.01), ha = 'center')
– Alex Potapenko
Dec 3 '18 at 19:19




















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