Pathon math lib

Numpy + scipy + ipython + matplotlib

-Example of plot: http://matplotlib.sourceforge.net/

Import matplotlib. pyplot as PLT
Import numpy as NP

X, Y = NP. Random. randn (2,100)
Fig = PLT. Figure ()
Ax1 = fig. add_subplot (211)
Ax1.xcorr (X, Y, usevlines = true, maxlags = 50, normed = true, lw = 2)
Ax1.grid (true)
Ax1.axhline (0, color = 'black', lw = 2)

Ax2 = fig. add_subplot (212, sharex = ax1)
Ax2.acorr (x, usevlines = true, normed = true, maxlags = 50, lw = 2)
Ax2.grid (true)
Ax2.axhline (0, color = 'black', lw = 2)

PLT. Show ()

-Save graph to file: http://stackoverflow.com/questions/4325733/save-a-subplot-in-matplotlib
 Import  Matplotlib  .  Pyplot  As  PLT
  Import  Matplotlib  As  Mpl
  Import  Numpy  As  NP

  # Make an example plot with two subplots...  
Fig  = PLT  .  Figure  ()  
Ax1  =  Fig  .  Add_subplot  (  2  ,  1  ,  1  )  
Ax1  .  Plot  (  Range  (  10 ),     'B -'  )  

Ax2  =  Fig  .  Add_subplot  (  2  ,  1  ,  2  )  
Ax2  .  Plot  (  Range  (  20 ),     'R ^'  )  

  # Save the full figure...  
Fig  .  Savefig  (  'Full_figure.png'  )  

  # Save just the portion _ inside _ the second axis's boundaries  
Extent  =  Ax2  .  Get_window_extent  (). Transformed  (  Fig  .  Dpi_scale_trans  .  Inverted  ())  
Fig  .  Savefig  (  'Ax2_figure.png'  ,  Bbox_inches  =  Extent  )  

  # Pad the saved area by 10% in the X-direction and 20% in the Y-direction 
Fig  .  Savefig  (  'Ax2_figure_expanded.png'  ,  Bbox_inches  =  Extent  .  Expanded  (  1.1  ,     1.2  )) 

-- Plot 3D data: http://matplotlib.sourceforge.net/plot_directive/mpl_examples/mplot3d/lines3d_demo.py

Import matplotlib as MPL
From mpl_toolkits.mplot3d import axes3d
Import numpy as NP
Import matplotlib. pyplot as PLT

MPL. rcparams ['legend. fontsize'] = 10

Fig = PLT. Figure ()
Ax = fig. GCA (projection = '3d ')
Theta = NP. linspace (-4 * NP. Pi, 4 * NP. Pi, 100)
Z = NP. linspace (-2, 2,100)
R = z ** 2 + 1
X = r * NP. Sin (theta)
Y = r * NP. Cos (theta)
Ax. Plot (X, Y, Z, label = 'parametric curve ')
Ax. Legend ()

PLT. Show ()

-- Pil load & Save image
Import image, imagedraw

Im = image. Open (infile)
Im. Save (OUTFILE, "Jpeg ")
Draw = imagedraw. Draw (IM) # fail to display!

-- Plot image loaded by Pil: (fail !)
Import matplotlib. pyplot as PLT
Import matplotlib. image as mpimg
Import numpy as NP
S = 'B: \ 3dsolar_appltest \ ats201107 \ 0720 \ wisi0003_sawmark0deglargethan15 \ pair0 \ top \ out. tif'
IMG = mpimg. imread (s)
Imgplot = PLT. imshow (IMG)
Axes3d. plot_surface (