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
edited Aug 29 '18 at 16:39
nnyby
2,14173782
asked Aug 29 '18 at 15:18
raniphoreraniphore
316
add a comment |
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
edited Aug 29 '18 at 16:39
nnyby
2,14173782
asked Aug 29 '18 at 15:18
raniphoreraniphore
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
add a comment |
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
edited Aug 29 '18 at 16:39
nnyby
2,14173782
asked Aug 29 '18 at 15:18
raniphoreraniphore
316
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
edited Aug 29 '18 at 16:39
nnyby
2,14173782
asked Aug 29 '18 at 15:18
raniphoreraniphore
316
edited Aug 29 '18 at 16:39
nnyby
2,14173782
asked Aug 29 '18 at 15:18
raniphoreraniphore
316
edited Aug 29 '18 at 16:39
nnyby
2,14173782
edited Aug 29 '18 at 16:39
nnyby
2,14173782
edited Aug 29 '18 at 16:39
nnyby
2,14173782
2,14173782
asked Aug 29 '18 at 15:18
raniphoreraniphore
316
asked Aug 29 '18 at 15:18
raniphoreraniphore
316
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
add a comment |
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
add a comment |
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))
answered Aug 29 '18 at 16:17
Chris AChris A
2,297315
You can also have the percentages horizontally centered at respective bars center. Modify theax.annotateexpression 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
add a comment |
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1 Answer
1
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))
answered Aug 29 '18 at 16:17
Chris AChris A
2,297315
You can also have the percentages horizontally centered at respective bars center. Modify theax.annotateexpression 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
add a comment |
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))
answered Aug 29 '18 at 16:17
Chris AChris A
2,297315
You can also have the percentages horizontally centered at respective bars center. Modify theax.annotateexpression 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
add a comment |
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))
answered Aug 29 '18 at 16:17
Chris AChris A
2,297315
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))
answered Aug 29 '18 at 16:17
Chris AChris A
2,297315
answered Aug 29 '18 at 16:17
Chris AChris A
2,297315
answered Aug 29 '18 at 16:17
Chris AChris A
2,297315
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 theax.annotateexpression 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
add a comment |
You can also have the percentages horizontally centered at respective bars center. Modify theax.annotateexpression 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
add a comment |
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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