knowing your data...animating with opengl 6 plotting charts with images and maps plotting with...
TRANSCRIPT
-
2Knowing Your Data
Cleaning up data from outliers
-
Importing image data into NumPy arrays
-
Generating controlled random datasets
-
Smoothing the noise in real-world data
-
3Drawing Your First Plots and
Customizing Them
Defining plot types – bar, line, and stacked charts
-
Drawing a simple sine and cosine plot
-
Defining axis lengths and limits
-
Setting ticks, labels, and grids
-
Adding a legend and annotations
-
Moving spines to the center
-
Making histograms
-
Making bar charts with error bars
-
Making pie charts count
-
Plotting with filled areas
-
Making stacked plots
-
Drawing scatter plots with colored markers
-
4More Plots and Customizations
Adding a data table to the figure
-
Using subplots
-
Customizing grids
-
Creating contour plots
-
Filling an under-plot area
-
Drawing polar plots
-
Visualizing the filesystem tree using a polar bar
-
Customizing matplotlib with style
-
5Making 3D visualizations
Creating 3D bars
-
Creating 3D histograms
Animating in matplotlib
-
Animating with OpenGL
-
6Plotting Charts with Images and
Maps
Plotting with images
-
Displaying an image with other plots in the figure
-
Plotting data on a map using Basemap
-
Plotting data on a map using Google Map API
-
Generating CAPTCHA images
-
7Using the Right Plots to
Understand Data
Understanding logarithmic plots
-
Understanding spectrograms
-
Creating stem plot
-
Drawing streamlines of vector flow
-
Using colormaps
-
Using scatter plots and histograms
-
Plotting the cross correlation between two variables
-
Importance of autocorrelation
8More on matplotlib Gems
-
Drawing barbs
Making a box and a whisker plot
-
Making Gantt charts
-
Making error bars
-
Making use of text and font properties
-
Rendering text with LaTeX
-
Understanding the difference between pyplot and OO API
-
9Visualizations in the clouds with
Plot.ly
Creating line charts
-
Creating bar charts
-
Plotting a 3D trefoil knot
-
Visualizing maps and bubbles
Cleaning up data from outliersImporting image data into NumPy arraysGenerating controlled random datasetsSmoothing the noise in real-world dataDefining plot types – bar, line, and stacked chartsDrawing a simple sine and cosine plotDefining axis lengths and limitsSetting ticks, labels, and gridsAdding a legend and annotationsMoving spines to the centerMaking histogramsMaking bar charts with error barsMaking pie charts countPlotting with filled areasMaking stacked plotsDrawing scatter plots with colored markersAdding a data table to the figureUsing subplotsCustomizing gridsCreating contour plotsFilling an under-plot areaDrawing polar plotsVisualizing the filesystem tree using a polar barCustomizing matplotlib with styleCreating 3D barsCreating 3D histogramsAnimating in matplotlibAnimating with OpenGLPlotting with imagesDisplaying an image with other plots in the figurePlotting data on a map using BasemapPlotting data on a map using Google Map APIGenerating CAPTCHA imagesUnderstanding logarithmic plotsUnderstanding spectrogramsCreating stem plotDrawing streamlines of vector flowUsing colormapsUsing scatter plots and histogramsPlotting the cross correlation between two variablesImportance of autocorrelationDrawing barbsMaking a box and a whisker plotMaking Gantt chartsMaking error barsMaking use of text and font propertiesRendering text with LaTeXUnderstanding the difference between pyplot and OO APICreating line chartsCreating bar chartsPlotting a 3D trefoil knotVisualizing maps and bubbles