Movatterモバイル変換


[0]ホーム

URL:


Menu
×
Sign In
+1 Get Certified For Teachers Spaces Plus Get Certified For Teachers Spaces Plus
   ❮     
     ❯   

Python Tutorial

Python HOMEPython IntroPython Get StartedPython SyntaxPython CommentsPython VariablesPython Data TypesPython NumbersPython CastingPython StringsPython BooleansPython OperatorsPython ListsPython TuplesPython SetsPython DictionariesPython If...ElsePython MatchPython While LoopsPython For LoopsPython FunctionsPython LambdaPython ArraysPython OOPPython Classes/ObjectsPython InheritancePython IteratorsPython PolymorphismPython ScopePython ModulesPython DatesPython MathPython JSONPython RegExPython PIPPython Try...ExceptPython String FormattingPython User InputPython VirtualEnv

File Handling

Python File HandlingPython Read FilesPython Write/Create FilesPython Delete Files

Python Modules

NumPy TutorialPandas TutorialSciPy TutorialDjango Tutorial

Python Matplotlib

Matplotlib IntroMatplotlib Get StartedMatplotlib PyplotMatplotlib PlottingMatplotlib MarkersMatplotlib LineMatplotlib LabelsMatplotlib GridMatplotlib SubplotMatplotlib ScatterMatplotlib BarsMatplotlib HistogramsMatplotlib Pie Charts

Machine Learning

Getting StartedMean Median ModeStandard DeviationPercentileData DistributionNormal Data DistributionScatter PlotLinear RegressionPolynomial RegressionMultiple RegressionScaleTrain/TestDecision TreeConfusion MatrixHierarchical ClusteringLogistic RegressionGrid SearchCategorical DataK-meansBootstrap AggregationCross ValidationAUC - ROC CurveK-nearest neighbors

Python DSA

Python DSALists and ArraysStacksQueuesLinked ListsHash TablesTreesBinary TreesBinary Search TreesAVL TreesGraphsLinear SearchBinary SearchBubble SortSelection SortInsertion SortQuick SortCounting SortRadix SortMerge Sort

Python MySQL

MySQL Get StartedMySQL Create DatabaseMySQL Create TableMySQL InsertMySQL SelectMySQL WhereMySQL Order ByMySQL DeleteMySQL Drop TableMySQL UpdateMySQL LimitMySQL Join

Python MongoDB

MongoDB Get StartedMongoDB Create DBMongoDB CollectionMongoDB InsertMongoDB FindMongoDB QueryMongoDB SortMongoDB DeleteMongoDB Drop CollectionMongoDB UpdateMongoDB Limit

Python Reference

Python OverviewPython Built-in FunctionsPython String MethodsPython List MethodsPython Dictionary MethodsPython Tuple MethodsPython Set MethodsPython File MethodsPython KeywordsPython ExceptionsPython Glossary

Module Reference

Random ModuleRequests ModuleStatistics ModuleMath ModulecMath Module

Python How To

Remove List DuplicatesReverse a StringAdd Two Numbers

Python Examples

Python ExamplesPython CompilerPython ExercisesPython QuizPython ServerPython SyllabusPython Study PlanPython Interview Q&APython BootcampPython CertificatePython Training

MatplotlibBars


Creating Bars

With Pyplot, you can use thebar() function to draw bar graphs:

Example

Draw 4 bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.bar(x,y)
plt.show()

Result:

Try it Yourself »

Thebar() function takes arguments that describes the layout of the bars.

The categories and their values represented by thefirstandsecondargument as arrays.

Example

x = ["APPLES", "BANANAS"]
y = [400, 350]
plt.bar(x, y)

Try it Yourself »



Horizontal Bars

If you want the bars to be displayed horizontally instead of vertically,use thebarh() function:

Example

Draw 4 horizontal bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.barh(x, y)
plt.show()

Result:

Try it Yourself »

Bar Color

Thebar() andbarh() take the keyword argumentcolor to set the color of the bars:

Example

Draw 4 red bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.bar(x, y, color = "red")
plt.show()

Result:

Try it Yourself »

Color Names

You can use any of the140 supported color names.

Example

Draw 4 "hot pink" bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.bar(x, y, color = "hotpink")
plt.show()

Result:

Try it Yourself »

Color Hex

Or you can useHexadecimal color values:

Example

Draw 4 bars with a beautiful green color:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.bar(x, y, color = "#4CAF50")
plt.show()

Result:

Try it Yourself »

Bar Width

Thebar() takes the keyword argumentwidth to set the width of the bars:

Example

Draw 4 very thin bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.bar(x, y, width = 0.1)
plt.show()

Result:

Try it Yourself »

The default width value is 0.8

Note: For horizontal bars, useheight instead ofwidth.


Bar Height

Thebarh() takes the keyword argumentheight to set the height of the bars:

Example

Draw 4 very thin bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.barh(x, y, height = 0.1)
plt.show()

Result:

Try it Yourself »

The default height value is 0.8


 
Track your progress - it's free!
 

×

Contact Sales

If you want to use W3Schools services as an educational institution, team or enterprise, send us an e-mail:
sales@w3schools.com

Report Error

If you want to report an error, or if you want to make a suggestion, send us an e-mail:
help@w3schools.com

W3Schools is optimized for learning and training. Examples might be simplified to improve reading and learning.
Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness
of all content. While using W3Schools, you agree to have read and accepted ourterms of use,cookie and privacy policy.

Copyright 1999-2025 by Refsnes Data. All Rights Reserved.W3Schools is Powered by W3.CSS.


[8]ページ先頭

©2009-2025 Movatter.jp