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fill_between
with transparency
- Affine transform of an image
- Wind barbs
- Barcode
- Interactive adjustment of colormap range
- Colormap normalizations
- Colormap normalizations SymLogNorm
- Contour corner mask
- Contour Demo
- Contour image
- Contour Label Demo
- Contourf demo
- Contourf hatching
- Contourf and log color scale
- Contouring the solution space of optimizations
- BboxImage Demo
- Figimage Demo
- Annotated heatmap
- Image resampling
- Clipping images with patches
- Many ways to plot images
- Image with masked values
- Image nonuniform
- Blend transparency with color in 2D images
- Modifying the coordinate formatter
- Interpolations for imshow
- Contour plot of irregularly spaced data
- Layer images with alpha blending
- Visualize matrices with matshow
- Multiple images with one colorbar
- pcolor images
- pcolormesh grids and shading
- pcolormesh
- Streamplot
- QuadMesh Demo
- Advanced quiver and quiverkey functions
- Quiver Simple Demo
- Shading example
- Spectrogram
- Spy Demos
- Tricontour Demo
- Tricontour Smooth Delaunay
- Tricontour Smooth User
- Trigradient Demo
- Triinterp Demo
- Tripcolor Demo
- Triplot Demo
- Watermark image
-
Subplots, axes and figures
- Align labels and titles
- Programmatically control subplot adjustment
- Axes box aspect
- Axes Demo
- Controlling view limits using margins and sticky_edges
- Axes properties
- Axes zoom effect
- Draw regions that span an Axes
- Equal axis aspect ratio
- Axis label position
- Broken axis
- Custom Figure subclasses
- Resize Axes with constrained layout
- Resize Axes with tight layout
- Different scales on the same Axes
- Figure size in different units
- Figure labels: suptitle, supxlabel, supylabel
- Adjacent subplots
- Geographic Projections
- Combine two subplots using subplots and GridSpec
- GridSpec with variable sizes and spacing
- Gridspec for multi-column/row subplot layouts
- Nested Gridspecs
- Inverted axis
- Manage multiple figures in pyplot
- Secondary Axis
- Share axis limits and views
- Shared axis
- Figure subfigures
- Multiple subplots
- subplot2grid
- Subplots spacings and margins
-
Create multiple subplots using
plt.subplots - Plots with different scales
- Zoom region inset Axes
-
Statistics
- Artist customization in box plots
- Box plots with custom fill colors
- Boxplots
- Box plot vs. violin plot comparison
- Separate calculation and plotting of boxplots
- Plot a confidence ellipse of a two-dimensional dataset
- Violin plot customization
- Errorbar function
- Different ways of specifying error bars
- Including upper and lower limits in error bars
- Create boxes from error bars using PatchCollection
- Hexagonal binned plot
- Histograms
- Bihistogram
- Cumulative distributions
-
Demo of the histogram function's different
histtypesettings - The histogram (hist) function with multiple data sets
- Histogram bins, density, and weight
- Multiple histograms side by side
- Time Series Histogram
- Violin plot basics
-
Pie and polar charts
- Pie charts
- Bar of pie
- Nested pie charts
- A pie and a donut with labels
- Bar chart on polar axis
- Polar plot
- Error bar rendering on polar axis
- Polar legend
- Scatter plot on polar axis
-
Text, labels and annotations
- Accented text
- Align y-labels
- Scale invariant angle label
- Angle annotations on bracket arrows
- Annotate transform
- Annotating a plot
- Annotate plots
- Annotate polar plots
- Arrow Demo
- Auto-wrap text
- Compose custom legends
- Date tick labels
- AnnotationBbox demo
- Using a text as a Path
- Text rotation mode
- The difference between \dfrac and \frac
- Format ticks using engineering notation
- Annotation arrow style reference
- Styling text boxes
- Figure legend demo
- Configure the font family
- Using ttf font files
- Font table
- Fonts demo (object-oriented style)
- Fonts demo (keyword arguments)
- Labelling subplots
- Legend using pre-defined labels
- Legend Demo
- Artist within an artist
- Convert texts to images
- Mathtext
- Mathematical expressions
- Math fontfamily
- Multiline
- Placing text boxes
- Concatenate text objects with different properties
- STIX Fonts
- Render math equations using TeX
- Text alignment
- Text properties
- Controlling style of text and labels using a dictionary
- Text rotation angle in data coordinates
- Title positioning
- Unicode minus
- Usetex text baseline
- Usetex font effects
- Text watermark
-
Color
- Color Demo
- Color by y-value
- Colors in the default property cycle
- Named color sequences
- Colorbar
- Colormap reference
- Create a colormap from a list of colors
- Selecting individual colors from a colormap
- List of named colors
- Ways to set a color's alpha value
-
Shapes and collections
- Arrow guide
- Reference for Matplotlib artists
- Line, Poly and RegularPoly Collection with autoscaling
- Compound path
- Dolphins
- Mmh Donuts!!!
- Ellipse with orientation arrow demo
- Ellipse Collection
- Ellipse Demo
- Drawing fancy boxes
- Hatch demo
- Hatch style reference
- Plot multiple lines using a LineCollection
- Circles, Wedges and Polygons
- PathPatch object
- Bezier curve
- Scatter plot
-
Style sheets
- Bayesian Methods for Hackers style sheet
- Dark background style sheet
- FiveThirtyEight style sheet
- ggplot style sheet
- Grayscale style sheet
- Petroff10 style sheet
- Solarized Light stylesheet
- Style sheets reference
-
Module - pyplot
- Simple plot
- Text and mathtext using pyplot
- Multiple lines using pyplot
- Two subplots using pyplot
-
Module - axes_grid1
- Anchored Direction Arrow
- Axes divider
- Demo Axes Grid
- Axes Grid2
- HBoxDivider and VBoxDivider demo
- Show RGB channels using RGBAxes
- Colorbar with AxesDivider
- Control the position and size of a colorbar with Inset Axes
- Per-row or per-column colorbars
- Axes with a fixed physical size
- ImageGrid cells with a fixed aspect ratio
- Inset locator demo
- Inset locator demo 2
- Make room for ylabel using axes_grid
- Parasite Simple
- Parasite Simple2
- Align histogram to scatter plot using locatable Axes
- Simple Anchored Artists
- Simple Axes Divider 1
- Simple axes divider 3
- Simple ImageGrid
- Simple ImageGrid 2
- Simple Axisline4
-
Module - axisartist
- Axis Direction
- axis_direction demo
- Axis line styles
- Curvilinear grid demo
- Demo CurveLinear Grid2
-
floating_axesfeatures - floating_axis demo
- Parasite Axes demo
- Parasite axis demo
- Ticklabel alignment
- Ticklabel direction
- Simple axis direction
- Simple axis tick label and tick directions
- Simple axis pad
- Custom spines with axisartist
- Simple Axisline
- Simple Axisline3
-
Showcase
- Anatomy of a figure
- Firefox
- Integral as the area under a curve
- Shaded & power normalized rendering
- Pan/zoom events of overlapping axes
- Stock prices over 32 years
-
Animation
- Decay
- Animated histogram
- pyplot animation
- The Bayes update
- The double pendulum problem
- Animated image using a precomputed list of images
- Frame grabbing
- Multiple Axes animation
- Pause and resume an animation
- Rain simulation
- Animated 3D random walk
- Animated line plot
- Animated scatter saved as GIF
- Oscilloscope
- Matplotlib unchained
-
Event handling
- Close event
- Mouse move and click events
- Cross-hair cursor
- Data browser
- Figure/Axes enter and leave events
- Interactive functions
- Scroll event
- Keypress event
- Lasso Demo
- Legend picking
- Looking glass
- Path editor
- Pick event demo
- Pick event demo 2
- Polygon editor
- Resampling Data
- Timers
- Trifinder Event Demo
- Viewlims
- Zoom modifies other Axes
-
Miscellaneous
- Anchored Artists
- Identify whether artists intersect
- Manual Contour
- Coords Report
- Custom projection
- Customize Rc
- AGG filter
- Ribbon box
- Add lines directly to a figure
- Fill spiral
- Findobj Demo
- Font indexing
- Font properties
- Building histograms using Rectangles and PolyCollections
- Hyperlinks
- Image thumbnail
- Plotting with keywords
- Matplotlib logo
- Multipage PDF
- Multiprocessing
- Packed-bubble chart
- Patheffect Demo
- Print image to stdout
- Rasterization for vector graphics
- Set and get properties
- Apply SVG filter to a line
- SVG filter pie
- Table Demo
- TickedStroke patheffect
- transforms.offset_copy
- Zorder Demo
-
3D plotting
- Plot 2D data on 3D plot
- Demo of 3D bar charts
- Clip the data to the axes view limits
- Create 2D bar graphs in different planes
- 3D box surface plot
- Plot contour (level) curves in 3D
- Plot contour (level) curves in 3D using the extend3d option
- Project contour profiles onto a graph
- Filled contours
- Project filled contour onto a graph
- Custom hillshading in a 3D surface plot
- 3D errorbars
- Fill between 3D lines
- Fill under 3D line graphs
- Create 3D histogram of 2D data
- 2D images in 3D
- Intersecting planes
- Parametric curve
- Lorenz attractor
- 2D and 3D Axes in same figure
- Automatic text offsetting
- Draw flat objects in 3D plot
- Generate 3D polygons
- 3D plot projection types
- 3D quiver plot
- Rotating a 3D plot
- 3D scatterplot
- 3D stem
- 3D plots as subplots
- 3D surface (colormap)
- 3D surface (solid color)
- 3D surface (checkerboard)
- 3D surface with polar coordinates
- Text annotations in 3D
- Triangular 3D contour plot
- Triangular 3D filled contour plot
- Triangular 3D surfaces
- More triangular 3D surfaces
- Primary 3D view planes
- 3D voxel / volumetric plot
- 3D voxel plot of the NumPy logo
- 3D voxel / volumetric plot with RGB colors
- 3D voxel / volumetric plot with cylindrical coordinates
- 3D wireframe plot
- Animate a 3D wireframe plot
- 3D wireframe plots in one direction
-
Scales
- Scales overview
- Asinh scale
- Loglog aspect
- Custom scale
- Log scale
- Logit scale
- Exploring normalizations
- Symlog scale
-
Specialty plots
- Hillshading
- Anscombe's quartet
- Hinton diagrams
- Ishikawa Diagram
- Left ventricle bullseye
- MRI with EEG
- Radar chart (aka spider or star chart)
- The Sankey class
- Long chain of connections using Sankey
- Rankine power cycle
- SkewT-logP diagram: using transforms and custom projections
- Topographic hillshading
-
Spines
- Spines
- Spine placement
- Dropped spines
- Multiple y-axis with Spines
- Centered spines with arrows
-
Ticks
- Automatically setting tick positions
- Center labels between ticks
- Colorbar Tick Labelling
- Custom Ticker
- Format date ticks using ConciseDateFormatter
- Date Demo Convert
- Placing date ticks using recurrence rules
- Date tick locators and formatters
- Custom tick formatter for time series
- Date precision and epochs
- Dollar ticks
- SI prefixed offsets and natural order of magnitudes
- Fig Axes Customize Simple
- Major and minor ticks
- Multilevel (nested) ticks
- The default tick formatter
- Tick formatters
- Tick locators
- Set default y-axis tick labels on the right
- Setting tick labels from a list of values
- Move x-axis tick labels to the top
- Rotated tick labels
- Fixing too many ticks
-
Units
- Annotation with units
- Artist tests
- Bar demo with units
- Group barchart with units
- Basic units
- Ellipse with units
- Evans test
- Radian ticks
- Inches and centimeters
- Unit handling
-
Embedding Matplotlib in graphical user interfaces
- CanvasAgg demo
- Embed in GTK3 with a navigation toolbar
- Embed in GTK3
- Embed in GTK4 with a navigation toolbar
- Embed in GTK4
- Embed in Qt
- Embed in Tk
- Embed in wx #2
- Embed in wx #3
- Embed in wx #4
- Embed in wx #5
- Embedding WebAgg
- Fourier Demo WX
- GTK3 spreadsheet
- GTK4 spreadsheet
- Display mathtext in WX
- Matplotlib with Glade 3
- mplcvd -- an example of figure hook
- pyplot with GTK3
- pyplot with GTK4
- SVG Histogram
- SVG Tooltip
- Tool Manager
- Embed in a web application server (Flask)
- Add a cursor in WX
-
Widgets
- Annotated cursor
- Buttons
- Check buttons
- Cursor
- Lasso Selector
- Mouse Cursor
- Multicursor
- Select indices from a collection using polygon selector
- Polygon Selector
- Radio Buttons
- Image scaling using a RangeSlider
- Rectangle and ellipse selectors
- Slider
- Snap sliders to discrete values
- Span Selector
- Textbox
-
Userdemo
- Nested GridSpecs
- Simple Legend01
- Simple Legend02
Examples #
For an overview of the plotting methods we provide, see Plot types
This page contains example plots. Click on any image to see the full image and source code.
For longer tutorials, see our tutorials page . You can also find external resources and a FAQ in our user guide .
Tagging!
You can also browse the example gallery by tags .
Lines, bars and markers #
Infinite linesBar chart with individual bar colors
Bar chart with individual bar colorsBar chart with labelsStacked bar chartGrouped bar chart with labelsHorizontal bar chartBroken horizontal barsCapStylePlotting categorical variables
Plotting categorical variablesPlotting the coherence of two signals
Plotting the coherence of two signalsCross spectral density (CSD)Curve with error bandErrorbar limit selectionErrorbar subsamplingEventCollection DemoEventplot demoFilled polygonfill_between with transparency
fill_between with transparencyFill the area between two lines
Fill the area between two linesFill the area between two vertical lines
Fill the area between two vertical linesBar chart with gradientsHat graphDiscrete distribution as horizontal bar chart
Discrete distribution as horizontal bar chartJoinStyleDashed line style configuration
Dashed line style configurationLines with a ticked patheffect
Lines with a ticked patheffectLinestylesMarker referenceMarkevery DemoPlotting masked and NaN values
Plotting masked and NaN valuesMulticolored linesMapping marker properties to multivariate data
Mapping marker properties to multivariate dataPower spectral density (PSD)Scatter Demo2Scatter plot with histogramsScatter plot with masked values
Scatter plot with masked valuesMarker examplesScatter plot with a legendLine plotShade regions defined by a logical mask using fill_between
Shade regions defined by a logical mask using fill_betweenSpectrum representationsStackplots and streamgraphsStairs DemoStem plotStep DemoTimeline with lines, dates, and text
Timeline with lines, dates, and texthlines and vlinesCross- and auto-correlationImages, contours and fields #
Affine transform of an imageWind barbsBarcodeInteractive adjustment of colormap range
Interactive adjustment of colormap rangeColormap normalizationsColormap normalizations SymLogNorm
Colormap normalizations SymLogNormContour corner maskContour DemoContour imageContour Label DemoContourf demoContourf hatchingContourf and log color scaleContouring the solution space of optimizations
Contouring the solution space of optimizationsBboxImage DemoFigimage DemoAnnotated heatmapImage resamplingClipping images with patchesMany ways to plot imagesImage with masked valuesImage nonuniformBlend transparency with color in 2D images
Blend transparency with color in 2D imagesModifying the coordinate formatter
Modifying the coordinate formatterInterpolations for imshowContour plot of irregularly spaced data
Contour plot of irregularly spaced dataLayer images with alpha blending
Layer images with alpha blendingVisualize matrices with matshow
Visualize matrices with matshowMultiple images with one colorbar
Multiple images with one colorbarpcolor imagespcolormesh grids and shadingpcolormeshStreamplotQuadMesh DemoAdvanced quiver and quiverkey functions
Advanced quiver and quiverkey functionsQuiver Simple DemoShading exampleSpectrogramSpy DemosTricontour DemoTricontour Smooth DelaunayTricontour Smooth UserTrigradient DemoTriinterp DemoTripcolor DemoTriplot DemoWatermark imageSubplots, axes and figures #
Align labels and titlesProgrammatically control subplot adjustment
Programmatically control subplot adjustmentAxes box aspectAxes DemoControlling view limits using margins and sticky_edges
Controlling view limits using margins and sticky_edgesAxes propertiesAxes zoom effectDraw regions that span an Axes
Draw regions that span an AxesEqual axis aspect ratioAxis label positionBroken axisCustom Figure subclassesResize Axes with constrained layout
Resize Axes with constrained layoutResize Axes with tight layoutDifferent scales on the same Axes
Different scales on the same AxesFigure size in different units
Figure size in different unitsFigure labels: suptitle, supxlabel, supylabel
Figure labels: suptitle, supxlabel, supylabelAdjacent subplotsGeographic ProjectionsCombine two subplots using subplots and GridSpec
Combine two subplots using subplots and GridSpecGridSpec with variable sizes and spacing
GridSpec with variable sizes and spacingGridspec for multi-column/row subplot layouts
Gridspec for multi-column/row subplot layoutsNested GridspecsInverted axisManage multiple figures in pyplot
Manage multiple figures in pyplotSecondary AxisShare axis limits and viewsShared axisFigure subfiguresMultiple subplotssubplot2gridSubplots spacings and marginsCreate multiple subplots using plt.subplots
Create multiple subplots using plt.subplotsPlots with different scalesZoom region inset AxesStatistics #
Artist customization in box plots
Artist customization in box plotsBox plots with custom fill colors
Box plots with custom fill colorsBoxplotsBox plot vs. violin plot comparison
Box plot vs. violin plot comparisonSeparate calculation and plotting of boxplots
Separate calculation and plotting of boxplotsPlot a confidence ellipse of a two-dimensional dataset
Plot a confidence ellipse of a two-dimensional datasetViolin plot customizationErrorbar functionDifferent ways of specifying error bars
Different ways of specifying error barsIncluding upper and lower limits in error bars
Including upper and lower limits in error barsCreate boxes from error bars using PatchCollection
Create boxes from error bars using PatchCollectionHexagonal binned plotHistogramsBihistogramCumulative distributionsDemo of the histogram function's different histtype settings
Demo of the histogram function's different histtype settingsThe histogram (hist) function with multiple data sets
The histogram (hist) function with multiple data setsHistogram bins, density, and weight
Histogram bins, density, and weightMultiple histograms side by side
Multiple histograms side by sideTime Series HistogramViolin plot basicsPie and polar charts #
Pie chartsBar of pieNested pie chartsA pie and a donut with labelsBar chart on polar axisPolar plotError bar rendering on polar axis
Error bar rendering on polar axisPolar legendScatter plot on polar axisText, labels and annotations #
Accented textAlign y-labelsScale invariant angle labelAngle annotations on bracket arrows
Angle annotations on bracket arrowsAnnotate transformAnnotating a plotAnnotate plotsAnnotate polar plotsArrow DemoAuto-wrap textCompose custom legendsDate tick labelsAnnotationBbox demoUsing a text as a PathText rotation modeThe difference between \dfrac and \frac
The difference between \dfrac and \fracFormat ticks using engineering notation
Format ticks using engineering notationAnnotation arrow style reference
Annotation arrow style referenceStyling text boxesFigure legend demoConfigure the font familyUsing ttf font filesFont tableFonts demo (object-oriented style)
Fonts demo (object-oriented style)Fonts demo (keyword arguments)
Fonts demo (keyword arguments)Labelling subplotsLegend using pre-defined labels
Legend using pre-defined labelsLegend DemoArtist within an artistConvert texts to imagesMathtextMathematical expressionsMath fontfamilyMultilinePlacing text boxesConcatenate text objects with different properties
Concatenate text objects with different propertiesSTIX FontsRender math equations using TeX
Render math equations using TeXText alignmentText propertiesControlling style of text and labels using a dictionary
Controlling style of text and labels using a dictionaryText rotation angle in data coordinates
Text rotation angle in data coordinatesTitle positioningUnicode minusUsetex text baselineUsetex font effectsText watermarkColor #
For a description of the colormaps available in Matplotlib, see the colormaps tutorial .
Color DemoColor by y-valueColors in the default property cycle
Colors in the default property cycleNamed color sequencesColorbarColormap referenceCreate a colormap from a list of colors
Create a colormap from a list of colorsSelecting individual colors from a colormap
Selecting individual colors from a colormapList of named colorsWays to set a color's alpha value
Ways to set a color's alpha valueShapes and collections #
Arrow guideReference for Matplotlib artists
Reference for Matplotlib artistsLine, Poly and RegularPoly Collection with autoscaling
Line, Poly and RegularPoly Collection with autoscalingCompound pathDolphinsMmh Donuts!!!Ellipse with orientation arrow demo
Ellipse with orientation arrow demoEllipse CollectionEllipse DemoDrawing fancy boxesHatch demoHatch style referencePlot multiple lines using a LineCollection
Plot multiple lines using a LineCollectionCircles, Wedges and PolygonsPathPatch objectBezier curveScatter plotStyle sheets #
Bayesian Methods for Hackers style sheet
Bayesian Methods for Hackers style sheetDark background style sheetFiveThirtyEight style sheetggplot style sheetGrayscale style sheetPetroff10 style sheetSolarized Light stylesheetStyle sheets referenceModule - pyplot #
Simple plotText and mathtext using pyplot
Text and mathtext using pyplotMultiple lines using pyplotTwo subplots using pyplotModule - axes_grid1 #
Anchored Direction ArrowAxes dividerDemo Axes GridAxes Grid2HBoxDivider and VBoxDivider demo
HBoxDivider and VBoxDivider demoShow RGB channels using RGBAxes
Show RGB channels using RGBAxesColorbar with AxesDividerControl the position and size of a colorbar with Inset Axes
Control the position and size of a colorbar with Inset AxesPer-row or per-column colorbars
Per-row or per-column colorbarsAxes with a fixed physical size
Axes with a fixed physical sizeImageGrid cells with a fixed aspect ratio
ImageGrid cells with a fixed aspect ratioInset locator demoInset locator demo 2Make room for ylabel using axes_grid
Make room for ylabel using axes_gridParasite SimpleParasite Simple2Align histogram to scatter plot using locatable Axes
Align histogram to scatter plot using locatable AxesSimple Anchored ArtistsSimple Axes Divider 1Simple axes divider 3Simple ImageGridSimple ImageGrid 2Simple Axisline4Module - axisartist #
Axis Directionaxis_direction demoAxis line stylesCurvilinear grid demoDemo CurveLinear Grid2floating_axes featuresfloating_axis demoParasite Axes demoParasite axis demoTicklabel alignmentTicklabel directionSimple axis directionSimple axis tick label and tick directions
Simple axis tick label and tick directionsSimple axis padCustom spines with axisartistSimple AxislineSimple Axisline3Showcase #
Anatomy of a figureFirefoxIntegral as the area under a curve
Integral as the area under a curveShaded & power normalized rendering
Shaded & power normalized renderingPan/zoom events of overlapping axes
Pan/zoom events of overlapping axesStock prices over 32 yearsAnimation #
DecayAnimated histogrampyplot animationThe Bayes updateThe double pendulum problemAnimated image using a precomputed list of images
Animated image using a precomputed list of imagesFrame grabbingMultiple Axes animationPause and resume an animationRain simulationAnimated 3D random walkAnimated line plotAnimated scatter saved as GIFOscilloscopeMatplotlib unchainedEvent handling #
Matplotlib supports event handling with a GUI neutral event model, so you can connect to Matplotlib events without knowledge of what user interface Matplotlib will ultimately be plugged in to. This has two advantages: the code you write will be more portable, and Matplotlib events are aware of things like data coordinate space and which axes the event occurs in so you don't have to mess with low level transformation details to go from canvas space to data space. Object picking examples are also included.
Close eventMouse move and click eventsCross-hair cursorData browserFigure/Axes enter and leave events
Figure/Axes enter and leave eventsInteractive functionsScroll eventKeypress eventLasso DemoLegend pickingLooking glassPath editorPick event demoPick event demo 2Polygon editorResampling DataTimersTrifinder Event DemoViewlimsZoom modifies other AxesMiscellaneous #
Anchored ArtistsIdentify whether artists intersect
Identify whether artists intersectManual ContourCoords ReportCustom projectionCustomize RcAGG filterRibbon boxAdd lines directly to a figure
Add lines directly to a figureFill spiralFindobj DemoFont indexingFont propertiesBuilding histograms using Rectangles and PolyCollections
Building histograms using Rectangles and PolyCollectionsHyperlinksImage thumbnailPlotting with keywordsMatplotlib logoMultipage PDFMultiprocessingPacked-bubble chartPatheffect DemoPrint image to stdoutRasterization for vector graphics
Rasterization for vector graphicsSet and get propertiesApply SVG filter to a lineSVG filter pieTable DemoTickedStroke patheffecttransforms.offset_copyZorder Demo3D plotting #
Plot 2D data on 3D plotDemo of 3D bar chartsClip the data to the axes view limits
Clip the data to the axes view limitsCreate 2D bar graphs in different planes
Create 2D bar graphs in different planes3D box surface plotPlot contour (level) curves in 3D
Plot contour (level) curves in 3DPlot contour (level) curves in 3D using the extend3d option
Plot contour (level) curves in 3D using the extend3d optionProject contour profiles onto a graph
Project contour profiles onto a graphFilled contoursProject filled contour onto a graph
Project filled contour onto a graphCustom hillshading in a 3D surface plot
Custom hillshading in a 3D surface plot3D errorbarsFill between 3D linesFill under 3D line graphsCreate 3D histogram of 2D data
Create 3D histogram of 2D data2D images in 3DIntersecting planesParametric curveLorenz attractor2D and 3D Axes in same figureAutomatic text offsettingDraw flat objects in 3D plotGenerate 3D polygons3D plot projection types3D quiver plotRotating a 3D plot3D scatterplot3D stem3D plots as subplots3D surface (colormap)3D surface (solid color)3D surface (checkerboard)3D surface with polar coordinates
3D surface with polar coordinatesText annotations in 3DTriangular 3D contour plotTriangular 3D filled contour plot
Triangular 3D filled contour plotTriangular 3D surfacesMore triangular 3D surfacesPrimary 3D view planes3D voxel / volumetric plot3D voxel plot of the NumPy logo
3D voxel plot of the NumPy logo3D voxel / volumetric plot with RGB colors
3D voxel / volumetric plot with RGB colors3D voxel / volumetric plot with cylindrical coordinates
3D voxel / volumetric plot with cylindrical coordinates3D wireframe plotAnimate a 3D wireframe plot3D wireframe plots in one direction
3D wireframe plots in one directionScales #
These examples cover how different scales are handled in Matplotlib.
Scales overviewAsinh scaleLoglog aspectCustom scaleLog scaleLogit scaleExploring normalizationsSymlog scaleSpecialty plots #
HillshadingAnscombe's quartetHinton diagramsIshikawa DiagramLeft ventricle bullseyeMRI with EEGRadar chart (aka spider or star chart)
Radar chart (aka spider or star chart)The Sankey classLong chain of connections using Sankey
Long chain of connections using SankeyRankine power cycleSkewT-logP diagram: using transforms and custom projections
SkewT-logP diagram: using transforms and custom projectionsTopographic hillshadingSpines #
SpinesSpine placementDropped spinesMultiple y-axis with SpinesCentered spines with arrowsTicks #
Automatically setting tick positions
Automatically setting tick positionsCenter labels between ticksColorbar Tick LabellingCustom TickerFormat date ticks using ConciseDateFormatter
Format date ticks using ConciseDateFormatterDate Demo ConvertPlacing date ticks using recurrence rules
Placing date ticks using recurrence rulesDate tick locators and formatters
Date tick locators and formattersCustom tick formatter for time series
Custom tick formatter for time seriesDate precision and epochsDollar ticksSI prefixed offsets and natural order of magnitudes
SI prefixed offsets and natural order of magnitudesFig Axes Customize SimpleMajor and minor ticksMultilevel (nested) ticksThe default tick formatterTick formattersTick locatorsSet default y-axis tick labels on the right
Set default y-axis tick labels on the rightSetting tick labels from a list of values
Setting tick labels from a list of valuesMove x-axis tick labels to the top
Move x-axis tick labels to the topRotated tick labelsFixing too many ticksUnits #
These examples cover the many representations of units in Matplotlib.
Annotation with unitsArtist testsBar demo with unitsGroup barchart with unitsBasic unitsEllipse with unitsEvans testRadian ticksInches and centimetersUnit handlingEmbedding Matplotlib in graphical user interfaces #
You can embed Matplotlib directly into a user interface application by following the embedding_in_SOMEGUI.py examples here. Currently Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython.
When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot procedural interface, so take a look at the examples/api directory for some example code working with the API.
CanvasAgg demoEmbed in GTK3 with a navigation toolbar
Embed in GTK3 with a navigation toolbarEmbed in GTK3Embed in GTK4 with a navigation toolbar
Embed in GTK4 with a navigation toolbarEmbed in GTK4Embed in QtEmbed in TkEmbed in wx #2Embed in wx #3Embed in wx #4Embed in wx #5Embedding WebAggFourier Demo WXGTK3 spreadsheetGTK4 spreadsheetDisplay mathtext in WXMatplotlib with Glade 3mplcvd -- an example of figure hook
mplcvd -- an example of figure hookpyplot with GTK3pyplot with GTK4SVG HistogramSVG TooltipTool ManagerEmbed in a web application server (Flask)
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Examples of how to write primitive, but GUI agnostic, widgets in matplotlib
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Select indices from a collection using polygon selectorPolygon SelectorRadio ButtonsImage scaling using a RangeSlider
Image scaling using a RangeSliderRectangle and ellipse selectors
Rectangle and ellipse selectorsSliderSnap sliders to discrete values
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Nested GridSpecsSimple Legend01Simple Legend02
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