Plots Images

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Here you'll find a host of example plots with the code thatgenerated them.

It may be necessary to use MS Paint to edit the image (see video: plot OLE objects). Lower the page size. Test using a smaller page size so that fewer system resources are utilized. Create a new image from the original. Use the Windows Snipping Tool or other image capture software to create a new copy of the image. Delete the original image. Displaying a FITS image. Show IDL code show Python code. Making annotations on a FITS image. IDL show IDL code. Instrument footprint. Astronomical coordinates.

  • There are an intimidating amount of plotting packages¶. Luckily, we have Plots.jl. Plots.jl is a plotting metapackage which brings many different plotting packages under a single API, making it easy to swap between plotting 'backends'.
  • To specify the first corner and let image determine the other, set x and y as scalar values. The image is stretched and oriented as applicable. Image ('CData',C) adds the image to the current axes without replacing existing plots. This syntax is the low-level version of image (C).

Line Plot¶

Here's how to create a line plot with text labels usingplot().

Multiple subplots in one figure¶

Multiple axes (i.e. subplots) are created with thesubplot() function:

Images¶

Matplotlib can display images (assuming equally spacedhorizontal dimensions) using the imshow() function.

Contouring and pseudocolor¶

Box and whisker plots images

The pcolormesh() function can make a coloredrepresentation of a two-dimensional array, even if the horizontal dimensionsare unevenly spaced. Thecontour() function is another way to representthe same data:

Example comparing pcolormesh() and contour() for plotting two-dimensional data

Histograms¶

The hist() function automatically generateshistograms and returns the bin counts or probabilities:

Paths¶

You can add arbitrary paths in Matplotlib using thematplotlib.path module:

Three-dimensional plotting¶

The mplot3d toolkit (see Getting started and3D plotting) has support for simple 3d graphsincluding surface, wireframe, scatter, and bar charts.

Thanks to John Porter, Jonathon Taylor, Reinier Heeres, and Ben Root forthe mplot3d toolkit. This toolkit is included with all standard Matplotlibinstalls.

Streamplot¶

The streamplot() function plots the streamlines ofa vector field. In addition to simply plotting the streamlines, it allows youto map the colors and/or line widths of streamlines to a separate parameter,such as the speed or local intensity of the vector field.

This feature complements the quiver() function forplotting vector fields. Thanks to Tom Flannaghan and Tony Yu for adding thestreamplot function.

Ellipses¶

In support of the Phoenixmission to Mars (which used Matplotlib to display ground tracking ofspacecraft), Michael Droettboom built on work by Charlie Moad to providean extremely accurate 8-spline approximation to elliptical arcs (seeArc), which are insensitive to zoom level.

Bar charts¶

Use the bar() function to make bar charts, whichincludes customizations such as error bars:

You can also create stacked bars(bar_stacked.py),or horizontal bar charts(barh.py).

Pie charts¶

The pie() function allows you to create piecharts. Optional features include auto-labeling the percentage of area,exploding one or more wedges from the center of the pie, and a shadow effect.Take a close look at the attached code, which generates this figure in justa few lines of code.

Tables¶

Images

The table() function adds a text tableto an axes.

Scatter plots¶

The scatter() function makes a scatter plotwith (optional) size and color arguments. This example plots changesin Google's stock price, with marker sizes reflecting thetrading volume and colors varying with time. Here, thealpha attribute is used to make semitransparent circle markers.

Plt Plot Image

GUI widgets¶

Matplotlib has basic GUI widgets that are independent of the graphicaluser interface you are using, allowing you to write cross GUI figuresand widgets. See matplotlib.widgets and thewidget examples.

Filled curves¶

The fill() function lets youplot filled curves and polygons:

Thanks to Andrew Straw for adding this function.

Date handling¶

You can plot timeseries data with major and minor ticks and customtick formatters for both.

See matplotlib.ticker and matplotlib.dates for details and usage.

Log plots¶

The semilogx(),semilogy() andloglog() functions simplify the creation oflogarithmic plots.

Thanks to Andrew Straw, Darren Dale and Gregory Lielens for contributionslog-scaling infrastructure.

Polar plots¶

The polar() function generates polar plots.

Legends¶

The legend() function automaticallygenerates figure legends, with MATLAB-compatible legend-placementfunctions.

Thanks to Charles Twardy for input on the legend function.

TeX-notation for text objects¶

Below is a sampling of the many TeX expressions now supported by Matplotlib'sinternal mathtext engine. The mathtext module provides TeX style mathematicalexpressions using FreeTypeand the DejaVu, BaKoMa computer modern, or STIXfonts. See the matplotlib.mathtext module for additional details.

Matplotlib's mathtext infrastructure is an independent implementation anddoes not require TeX or any external packages installed on your computer. Seethe tutorial at Writing mathematical expressions.

Native TeX rendering¶

Although Matplotlib's internal math rendering engine is quitepowerful, sometimes you need TeX. Matplotlib supports external TeXrendering of strings with the usetex option.

EEG GUI¶

You can embed Matplotlib into pygtk, wx, Tk, or Qt applications.Here is a screenshot of an EEG viewer called pbrain.

The lower axes uses specgram()to plot the spectrogram of one of the EEG channels.

For examples of how to embed Matplotlib in different toolkits, see:

XKCD-style sketch plots¶

Just for fun, Matplotlib supports plotting in the style of xkcd.

Subplot example¶

Many plot types can be combined in one figure to createpowerful and flexible representations of data.

Keywords: matplotlib code example, codex, python plot, pyplotGallery generated by Sphinx-Gallery

For an introduction to Ensemble Forecasting, click here

Latest Plots for NCEP Ensemble Model Run: 2021/02/01 were updated on Monday, February 01 20:55 UTC
Northern Hemisphere Plots
North America Plots
Southern Hemisphere Plots
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Animated GIF Images
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Frequently Asked Questions
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Northern Hemisphere Plots

Latest Plots for NCEP Ensemble Model Run: 2021/02/01 were updated on Monday, February 01 20:55 UTC
Ensemble Means500z 'Spaghetti' PlotsMean SLP/ 1000:500mb ThicknessStandard Deviation500mb Height Mean Anomaly850mb Temp. Mean Anomaly850mb Temp. Anomaly ProbabilityPrec ENS Mean/Stddev 700mb Hgt/RH All Maps
000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst
024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst
048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst
072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst
096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst
120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst
144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst
168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst
192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst
216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst
240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst
264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst
288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst
312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst
336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst
360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst
All TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll Times
Animation Animation Animation Animation Animation Animation Animation Animation Animation
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North America Plots

Latest Plots for NCEP Ensemble Model Run: 2021/02/01 were updated on Monday, February 01 20:55 UTC
Ensemble Means500z 'Spaghetti' PlotsMean SLP/ 1000:500mb ThicknessStandard Deviation500mb Height Mean Anomaly850mb Temp. Mean Anomaly850mb Temp. Anomaly ProbabilityPrec ENS Mean/Stddev 700mb Hgt/RH All Maps
000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst
024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst
048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst
072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst
096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst
120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst
144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst
168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst
192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst
216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst
240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst
264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst
288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst
312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst
336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst
360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst
All TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll Times
Animation Animation Animation Animation Animation Animation Animation Animation Animation
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Southern Hemisphere Plots

Latest Plots for NCEP Ensemble Model Run: 2021/02/01 were updated on Monday, February 01 20:55 UTC
Ensemble Means500z 'Spaghetti' PlotsMean SLP/ 1000:500mb ThicknessStandard Deviation500mb Height Mean Anomaly850mb Temp. Mean Anomaly850mb Temp. Anomaly ProbabilityPrec ENS Mean/Stddev 700mb Hgt/RH All Maps
000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst
024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst
048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst
072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst
096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst
120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst
144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst
168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst
192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst
216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst
240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst
264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst
288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst
312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst
336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst
360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst
All TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll Times
Animation Animation Animation Animation Animation Animation Animation Animation Animation
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Scatter Plots Images

Europe Plots

Latest Plots for NCEP Ensemble Model Run: 2021/02/01 were updated on

Box And Whisker Plots Images

Monday, February 01 20:55 UTC
Ensemble Means500z 'Spaghetti' PlotsMean SLP/ 1000:500mb ThicknessStandard Deviation500mb Height Mean Anomaly850mb Temp. Mean Anomaly850mb Temp. Anomaly ProbabilityPrec ENS Mean/Stddev 700mb Hgt/RH All Maps
000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst000 Hr Fcst
024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst024 Hr Fcst
048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst048 Hr Fcst
072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst072 Hr Fcst
096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst096 Hr Fcst
120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst120 Hr Fcst
144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst144 Hr Fcst
168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst168 Hr Fcst
192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst192 Hr Fcst
216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst216 Hr Fcst
240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst240 Hr Fcst
264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst264 Hr Fcst
288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst288 Hr Fcst
312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst312 Hr Fcst
336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst336 Hr Fcst
360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst360 Hr Fcst
All TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll TimesAll Times
Animation Animation Animation Animation Animation Animation Animation Animation Animation
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Animated GIF Images

Plot Images Python

These animated GIF files are 250-400K each. There is a one second delay between frames, and a five second pause on the last frame.

Hazard Ratio Plots Images

ENS MEAN 500 ZNHUSSHEU
ENS MEAN MSLP/500-1000 THKNHUSSHEU
500 Z SPAGHETTINHUSSHEU

Plots Images

Other Ensemble Data Available

Garden Plots Images

GRIB Files (Near Real-time - NCEP)
NetCDF Files (PSL - FTP Area)
GRIB Files (Historical - NCEI)
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