Styjun

Installing Windows to flash UEFI/ BIOS, then reinstalling Ubuntu

What modifiers are added to the attack and damage rolls of this unique longbow from Waterdeep: Dragon Heist?

Is it possible to represent any positive integer with a sum of arbitrarily many distinct powers of 3, 5, and 7?

What is the prop for Thor's hammer (Mjölnir) made of?

The oceans and the moon

Doesn't the speed of light limit imply the same electron can be annihilated twice?

How much can I judge a company based on a phone screening?

What should I do if actually I found a serious flaw in someone's PhD thesis and an article derived from that PhD thesis?

Why does Japan use the same type of AC power outlet as the US?

How do I call a 6-digit Australian phone number with a US-based mobile phone?

Did Pope Urban II issue the papal bull "terra nullius" in 1095?

Why did IBM make the PC BIOS source code public?

How to not forget things?

How can God warn people of the upcoming rapture without disrupting society?

Is Thieves' Cant a language?

Align rightarrow in table

Is there a fallacy about "appeal to 'big words'"?

Illustrator - SVG make thinner path

Output the list of musical notes

Bringing Power Supplies on Plane?

Cycle of actions and voice signals on a multipitch climb

Would the USA be eligible to join the European Union?

Is there any way I will not use l'Hôpital's rule here?

How to prevent criminal gangs from making/buying guns?

Displaying of values on barchart

How to get values above the bars on a seaborn countplot grouped using “melt”How to create barplot with facet and add labels with seabornAnnotate pandas Bar plot with reference to another columnHow do I sort a list of dictionaries by a value of the dictionary?How to get the ASCII value of a character?How do I sort a dictionary by value?Why can't Python parse this JSON data?Python/Matplotlib - Colorbar Range and Display ValuesSelect rows from a DataFrame based on values in a column in pandasPlotting two columns of dataFrame in seabornPython Matplotlib - how to set values on y axis in barchartPandas bar plot with both categorical and numerical dataSymbol colour in legend in errorbar plot does not correspond to colour on figure

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")

1 Answer
1

active

oldest

votes

7

Loop through the patches and annotate the bars.

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")
ax=g
#annotate axis = seaborn axis
for p in ax.patches:
 ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
 ha='center', va='center', fontsize=11, color='gray', xytext=(0, 20),
 textcoords='offset points')
_ = g.set_ylim(0,120) #To make space for the annotations

Output:

share|improve this answer

answered Aug 29 '17 at 19:43

Scott BostonScott Boston

66.4k77 gold badges4040 silver badges6464 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Thanks a lot. It works.
  
  – user6875132
  Aug 31 '17 at 17:51
  

  
  
  
  

add a comment | 

Your Answer

StackExchange.ifUsing("editor", function ()
StackExchange.using("externalEditor", function ()
StackExchange.using("snippets", function ()
StackExchange.snippets.init();
);
);
, "code-snippets");

StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "1"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);

else
createEditor();

);

function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);



);

draft saved

draft discarded

Sign up or log in

StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);

Sign up using Google

Sign up using Facebook

Sign up using Email and Password

Post as a guest

Name

Email

Required, but never shown

StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f45946970%2fdisplaying-of-values-on-barchart%23new-answer', 'question_page');

);

Post as a guest

Name

Email

Required, but never shown

7

Loop through the patches and annotate the bars.

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")
ax=g
#annotate axis = seaborn axis
for p in ax.patches:
 ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
 ha='center', va='center', fontsize=11, color='gray', xytext=(0, 20),
 textcoords='offset points')
_ = g.set_ylim(0,120) #To make space for the annotations

Output:

share|improve this answer

answered Aug 29 '17 at 19:43

Scott BostonScott Boston

66.4k77 gold badges4040 silver badges6464 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Thanks a lot. It works.
  
  – user6875132
  Aug 31 '17 at 17:51
  

  
  
  
  

add a comment | 

7

Loop through the patches and annotate the bars.

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")
ax=g
#annotate axis = seaborn axis
for p in ax.patches:
 ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
 ha='center', va='center', fontsize=11, color='gray', xytext=(0, 20),
 textcoords='offset points')
_ = g.set_ylim(0,120) #To make space for the annotations

Output:

share|improve this answer

answered Aug 29 '17 at 19:43

Scott BostonScott Boston

66.4k77 gold badges4040 silver badges6464 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Thanks a lot. It works.
  
  – user6875132
  Aug 31 '17 at 17:51
  

  
  
  
  

add a comment | 

Loop through the patches and annotate the bars.

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")
ax=g
#annotate axis = seaborn axis
for p in ax.patches:
 ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
 ha='center', va='center', fontsize=11, color='gray', xytext=(0, 20),
 textcoords='offset points')
_ = g.set_ylim(0,120) #To make space for the annotations

Output:

share|improve this answer

answered Aug 29 '17 at 19:43

Scott BostonScott Boston

66.4k77 gold badges4040 silver badges6464 bronze badges

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")
ax=g
#annotate axis = seaborn axis
for p in ax.patches:
 ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
 ha='center', va='center', fontsize=11, color='gray', xytext=(0, 20),
 textcoords='offset points')
_ = g.set_ylim(0,120) #To make space for the annotations

share|improve this answer

answered Aug 29 '17 at 19:43

Scott BostonScott Boston

66.4k77 gold badges4040 silver badges6464 bronze badges

answered Aug 29 '17 at 19:43

Scott BostonScott Boston

66.4k77 gold badges4040 silver badges6464 bronze badges

answered Aug 29 '17 at 19:43

Scott BostonScott Boston

66.4k77 gold badges4040 silver badges6464 bronze badges