MATPLOTLIB (1) - PowerPoint PPT Presentation

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MATPLOTLIB (1)

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Setting lines ,changing colors and adding markers are some of the features of matplotlib .Different styles of lines can also be used to plot .Special plots can also be drawn using Matplotlib.Here is the highlight on these topics. To learn more visit: – PowerPoint PPT presentation

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Title: MATPLOTLIB (1)


1
MATPLOTLIB PART II
2
  • The following format string characters are
    accepted to control the line style or marker
  • character description'-
    solid line style'-- dashed line
    style'-. dash-dot line style' dotted line
    style'. point marker', pixel
    marker'o circle marker'v triangle_down
    marker' triangle_up marker'lt triangle_left
    marker'gt triangle_right marker'1 tri_down
    marker'2 tri_up marker'3 tri_left
    marker'4 tri_right marker's square
    marker'p pentagon marker' star
    marker'h hexagon1 marker'H hexagon2
    marker' plus marker'x x marker'D diamond
    marker'd thin_diamond marker' vline
    marker_ hline marker

3
  • There are several parameters that determine
  • what the figure looks like

4
Example
  • fig  plt.figure() axes1  fig.add_axes(0.1, 
    0.1, 0.9,0.9)  axes1.plot(arr1, arr2, 'b--')
  • axes1.plot(arr2, arr1, 'r.-')
  • O/P

5
  • Alpha parameter can be mentioned that
  • defines the transparency in the plot.
  • Eg fig  plt.figure() axes1  fig.add_axes(
    0.1, 0.1, 0.9,0.9)   axes1.plot(arr1, arr2, co
    lor  '808000', 
  • lw  10) axes1.plot(arr2, arr1, color  '0
    0FF00', 
  • lw  0.25) axes1.plot(arr1, arr12, color 
     '00FF00', 
  • lw  1)

6
Setting line,changing line colors and adding
markers
  • The following color abbreviations are supported
  • Character color b blue g
    green r red
    c cyan m magenta
    y yellow k
    black w white
  • For other color shades hexadecimal color coding
    can be used.

7
  • O/P

8
  • Ls parameter defines the line style as mentioned
    in the previous table .
  • Lw defines the line width that we wish to have in
    the plot
  • Egfig  plt.figure()
  • axes1  fig.add_axes(0.1, 0.1, 0.9,0.9) 
     
    l,b,w,h -0 and 1
  • axes1.plot(arr1, arr2, color  '808000', lw 
     10, ls  '--')axes1.plot(arr2, arr1, color  '0
    0FF00', lw  3.25, ls  '')axes1.plot(arr1, arr1
    2, color  '00FF00', lw  1, ls  '-.')

9
  • O/P

10
  • Eg 2fig  plt.figure()axes1  fig.add_axes(0.1
    , 0.1, 0.9,0.9)  
    l,b,w,h -0 and 1axes1.plot(a
    rr1, arr12, color  '00FF00', lw  1, ls  '.', 
    marker 's', markersize  10, markerfacecolor  'r
    ed')
  • O/P
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