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python Programming Glossary: cmap

Heatmap in matplotlib with pcolor?

http://stackoverflow.com/questions/14391959/heatmap-in-matplotlib-with-pcolor

arguments that look about right heatmap plt.pcolor data cmap matplotlib.cm.Blues But beyond that I can't figure out how to.. 4 4 fig ax plt.subplots heatmap ax.pcolor data cmap plt.cm.Blues # put the major ticks at the middle of each cell.. Plot it out fig ax plt.subplots heatmap ax.pcolor nba_sort cmap plt.cm.Blues alpha 0.8 # Format fig plt.gcf fig.set_size_inches..

Moving x-axis to the top of a plot in matplotlib

http://stackoverflow.com/questions/14406214/moving-x-axis-to-the-top-of-a-plot-in-matplotlib

4 4 fig ax plt.subplots heatmap ax.pcolor data cmap plt.cm.Blues # put the major ticks at the middle of each cell.. 4 4 fig ax plt.subplots heatmap ax.pcolor data cmap plt.cm.Blues # put the major ticks at the middle of each cell..

How can I plot NaN values as a special color with imshow in matplotlib?

http://stackoverflow.com/questions/2578752/how-can-i-plot-nan-values-as-a-special-color-with-imshow-in-matplotlib

to do this masked_array np.ma.array a mask np.isnan a cmap matplotlib.cm.jet cmap.set_bad 'w' 1. ax.imshow masked_array.. np.ma.array a mask np.isnan a cmap matplotlib.cm.jet cmap.set_bad 'w' 1. ax.imshow masked_array interpolation 'nearest'.. 'w' 1. ax.imshow masked_array interpolation 'nearest' cmap cmap This should suffice though I'm still open to suggestions...

plotting results of hierarchical clustering ontop of a matrix of data in python

http://stackoverflow.com/questions/2982929/plotting-results-of-hierarchical-clustering-ontop-of-a-matrix-of-data-in-python

D idx2 im axmatrix.matshow D aspect 'auto' origin 'lower' cmap pylab.cm.YlGnBu axmatrix.set_xticks axmatrix.set_yticks # Plot.. you need more help. Edit For different colors adjust the cmap attribute in imshow . See the scipy matplotlib docs for examples...

Set Colorbar Range in matplotlib

http://stackoverflow.com/questions/3373256/set-colorbar-range-in-matplotlib

'my_colormap' cdict 1024 plt.clf plt.pcolor X Y v cmap cm plt.loglog plt.xlabel 'X Axis' plt.ylabel 'Y Axis' plt.colorbar.. n f title #plt.clf plt.subplot 1 3 n plt.pcolor X Y f data cmap cm vmin 4 vmax 4 plt.title title plt.colorbar plt.figure do_plot..

Matplotlib: How to put individual tags for a scatter plot

http://stackoverflow.com/questions/5147112/matplotlib-how-to-put-individual-tags-for-a-scatter-plot

data 0 data 1 marker 'o' c data 2 s data 3 1500 cmap plt.get_cmap 'Spectral' for label x y in zip labels data 0 data.. 0 data 1 marker 'o' c data 2 s data 3 1500 cmap plt.get_cmap 'Spectral' for label x y in zip labels data 0 data 1 plt.annotate..

python matplotlib colorbar setting tick formator/locator changes tick labels

http://stackoverflow.com/questions/6485000/python-matplotlib-colorbar-setting-tick-formator-locator-changes-tick-labels

##### FIRST PLOT plt.figure CS plt.contour xi yi zi 25 cmap plt.cm.jet bar plt.colorbar # draw colorbar # plot data points... ##### SECOND PLOT plt.figure CS plt.contour xi yi zi 25 cmap plt.cm.jet bar plt.colorbar # draw colorbar bar.ax.yaxis.set_minor_locator.. 'linear' ##### PLOT plt.figure CS plt.contour xi yi zi 25 cmap plt.cm.jet bar plt.colorbar orientation 'horizontal' # draw..

Using Colormaps to set color of line in matplotlib

http://stackoverflow.com/questions/8931268/using-colormaps-to-set-color-of-line-in-matplotlib

0 vmax values 1 scalarMap cmx.ScalarMappable norm cNorm cmap jet lines for idx in range len curves line curves idx colorVal.. next line #jet colors.Colormap 'jet' # with jet cm plt.get_cmap 'jet' cNorm colors.Normalize vmin 0 vmax values 1 scalarMap.. 0 vmax values 1 scalarMap cmx.ScalarMappable norm cNorm cmap jet print scalarMap.get_clim lines for idx in range len curves..

Matplotlib 3D scatter color lost after redraw

http://stackoverflow.com/questions/8971309/matplotlib-3d-scatter-color-lost-after-redraw

mpl_toolkits.mplot3d import Axes3D # Create Map cm plt.get_cmap RdYlGn x np.random.rand 30 y np.random.rand 30 z np.random.rand.. projection '3d' ax3D.scatter x y z s 30 c col marker 'o' cmap cm plt.savefig 'image1.png' plt.savefig 'image2.png' Here are.. mpl_toolkits.mplot3d import Axes3D # Create Map cm plt.get_cmap RdYlGn # added a seed so consistant plotting of points np.random.seed..