plotting different colors in matplotlib

Question

Suppose I have a for loop and I want to plot points in different colors   for i in range 5    plt plot x y col i    How do I automatically change colors in the for loop

User · Answer

for color in   r    b    g    k    m        plot x  y  color color

User · Answer

tcaswell already answered  but I was in the middle of typing my answer up  so I ll go ahead and post it     There are a number of different ways you could do this   To begin with  matplotlib will automatically cycle through colors  By default  it cycles through blue  green  red  cyan  magenta  yellow  black   import matplotlib pyplot as plt import numpy as np  x   np linspace 0  1  10  for i in range 1  6       plt plot x  i   x   i  label   y    i x    i    format i i   plt legend loc  best   plt show       If you want to control which colors matplotlib cycles through  use ax set color cycle   import matplotlib pyplot as plt import numpy as np  x   np linspace 0  1  10  fig  ax   plt subplots   ax set color cycle   red    black    yellow    for i in range 1  6       plt plot x  i   x   i  label   y    i x    i    format i i   plt legend loc  best   plt show       If you d like to explicitly specify the colors that will be used  just pass it to the color kwarg  html colors names are accepted  as are rgb tuples and hex strings    import matplotlib pyplot as plt import numpy as np  x   np linspace 0  1  10  for i  color in enumerate   red    black    blue    brown    green    start 1       plt plot x  i   x   i  color color  label   y    i x    i    format i i   plt legend loc  best   plt show       Finally  if you d like to automatically select a specified number of colors from an existing colormap   import matplotlib pyplot as plt import numpy as np  x   np linspace 0  1  10  number   5 cmap   plt get cmap  gnuplot   colors    cmap i  for i in np linspace 0  1  number    for i  color in enumerate colors  start 1       plt plot x  i   x   i  color color  label   y    i x    i    format i i   plt legend loc  best   plt show

User · Answer

Joe Kington s excellent answer is already 4 years old  Matplotlib has incrementally changed  in particular  the introduction of the cycler module  and the new major release  Matplotlib 2 0 x  has introduced stylistic differences that are important from the point of view of the colors used by default   The color of individual lines  The color of individual lines  as well as the color of different plot elements  e g   markers in scatter plots  is controlled by the color keyword argument   plt plot x  y  color my color    my color is either    a tuple of floats representing RGB or RGBA  as 0  0 5 0 5    a RGB RGBA hex string  as   008080   RGB  or   008080A0    a string representation of a float value in  0  1  inclusive for gray level  e g    0 6    a short color name  as   k  for black  possible values in  bgrcmykw    a long color name  as  teal   --- aka HTML color name  in the docs also X11 CSS4 color name   a name from the xkcd color survey  prefixed with  xkcd    e g    xkcd barbie pink    a color from the Tableau Colors in the default  T10  categorical palette   e g    tab blue    tab olive    a reference to a color of the current color cycle  as  C3   i e   the letter  C  followed by a single digit in  0-9      The color cycle  By default  different lines are plotted using different colors  that are defined by default and are used in a cyclic manner  hence the name color cycle    The color cycle is a property of the axes object  and in older releases was simply a sequence of valid color names  by default a string of one character color names   bgrcmyk   and you could set it as in  my ax set color cycle   kbkykrkg       as noted in a comment this API has been deprecated  more on this later    In Matplotlib 2 0 the default color cycle is    1f77b4     ff7f0e     2ca02c     d62728     9467bd     8c564b     e377c2     7f7f7f     bcbd22     17becf    the Vega category10 palette      the image is a screenshot from https   vega github io vega docs schemes    The cycler module  composable cycles  The following code shows that the color cycle notion has been deprecated  In  1   from matplotlib import rc params  In  2   rc params    axes color cycle    home boffi lib miniconda3 lib python3 6 site-packages matplotlib   init   py 938  UserWarning  axes color cycle is deprecated and replaced with axes prop cycle  please use the latter    warnings warn self msg depr    key  alt key   Out 2       1f77b4     ff7f0e     2ca02c     d62728     9467bd      8c564b     e377c2     7f7f7f     bcbd22     17becf     Now the relevant property is the  axes prop cycle   In  3   rc params    axes prop cycle   Out 3   cycler  color      1f77b4     ff7f0e     2ca02c     d62728     9467bd     8c564b     e377c2     7f7f7f     bcbd22     17becf      Previously  the color cycle was a generic sequence of valid color denominations  now by default it is a cycler object containing a label   color   and a sequence of valid color denominations   The step forward with respect to the previous interface is that it is possible to cycle not only on the color of lines but also on other line attributes  e g    In  5   from cycler import cycler  In  6   new prop cycle   cycler  color     k    r      cycler  linewidth    1   1 5  2     In  7   for kwargs in new prop cycle  print kwargs    color    k    linewidth   1 0    color    k    linewidth   1 5    color    k    linewidth   2 0    color    r    linewidth   1 0    color    r    linewidth   1 5    color    r    linewidth   2 0    As you have seen  the cycler objects are composable and when you iterate on a composed cycler what you get  at each iteration  is a dictionary of keyword arguments for plt plot    You can use the new defaults on a per axes object ratio   my ax set prop cycle new prop cycle    or you can install temporarily the new default  plt rc  axes   prop cycle new prop cycle    or change altogether the default editing your  matplotlibrc file   Last possibility  use a context manager  with plt rc context   axes prop cycle   new prop cycle              to have the new cycler used in a group of different plots  reverting to defaults at the end of the context   The doc string of the cycler   function is useful  but the  not so much  gory details about the cycler module and the cycler   function  as well as examples  can be found in the fine docs

[python] plotting different colors in matplotlib

Examples related to python

Examples related to matplotlib