![]() We'll pass in the value the width should be changed to as a parameter to the method. You can use the set_figwidth() method to change the width of a plot. Here's what the plot would look like: matplotlib plot with modified figure size How to Change Plot Width in Matplotlib with set_figwidth() ![]() This will modify/change the width and height of the plot. We've added one new line of code: plt.figure(figsize=(10,6)). Here's a code example: import matplotlib.pyplot as plt Here's what the syntax looks like: figure(figsize=(WIDTH_SIZE,HEIGHT_SIZE)) The figsize() attribute takes in two parameters - one for the width and the other for the height. We can change the size of the plot above using the figsize() attribute of the figure() function. Here's what the plot would look like with the default figure size parameters: matplotlib plot with default figure size parameters Lastly, the plt.show() displays the plot. Using plt.plot(), we plotted list x on the x-axis and list y on the y-axis: plt.plot(x,y). We then created two lists - x and y - with values to be plotted. In the code above, we first imported matplotlib. Let's get started! How to Change Plot Size in Matplotlib with plt.figsize()Īs stated in the previous section, the default parameters (in inches) for Matplotlib plots are 6.4 wide and 4.8 high. In this article, you'll learn how to change the plot size using the following: Plt.When creating plots using Matplotlib, you get a default figure size of 6.4 for the width and 4.8 for the height (in inches). ![]() Python Examples Python Examples Python Compiler Python Exercises Python Quiz Python Bootcamp Python Certificate Python How To Remove List Duplicates Reverse a String Add Two Numbers Module Reference Random Module Requests Module Statistics Module Math Module cMath Module Python Reference Python Overview Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods Python File Methods Python Keywords Python Exceptions Python Glossary Python MongoDB MongoDB Get Started MongoDB Create Database MongoDB Create Collection MongoDB Insert MongoDB Find MongoDB Query MongoDB Sort MongoDB Delete MongoDB Drop Collection MongoDB Update MongoDB Limit Python MySQL MySQL Get Started MySQL Create Database MySQL Create Table MySQL Insert MySQL Select MySQL Where MySQL Order By MySQL Delete MySQL Drop Table MySQL Update MySQL Limit MySQL Join Machine Learning Getting Started Mean Median Mode Standard Deviation Percentile Data Distribution Normal Data Distribution Scatter Plot Linear Regression Polynomial Regression Multiple Regression Scale Train/Test Decision Tree Confusion Matrix Hierarchical Clustering Logistic Regression Grid Search Categorical Data K-means Bootstrap Aggregation Cross Validation AUC - ROC Curve K-nearest neighbors Python Matplotlib Matplotlib Intro Matplotlib Get Started Matplotlib Pyplot Matplotlib Plotting Matplotlib Markers Matplotlib Line Matplotlib Labels Matplotlib Grid Matplotlib Subplot Matplotlib Scatter Matplotlib Bars Matplotlib Histograms Matplotlib Pie Charts Python Modules NumPy Tutorial Pandas Tutorial SciPy Tutorial Django Tutorial Python Dictionaries Access Items Change Items Add Items Remove Items Loop Dictionaries Copy Dictionaries Nested Dictionaries Dictionary Methods Dictionary Exercise Python If.Else Python While Loops Python For Loops Python Functions Python Lambda Python Arrays Python Classes/Objects Python Inheritance Python Iterators Python Polymorphism Python Scope Python Modules Python Dates Python Math Python JSON Python RegEx Python PIP Python Try.Except Python User Input Python String Formattingįile Handling Python File Handling Python Read Files Python Write/Create Files Python Delete Files
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