Python equivalent to hold on in Matlab

Question

Is there an explicit equivalent command in Python s matplotlib for Matlab s hold on  I m trying to plot all my graphs on the same axes  Some graphs are generated inside a for loop  and these are plotted separately from su and sl   import numpy as np import matplotlib pyplot as plt  for i in np arange 1 5       z   68   4   np random randn 50      zm   np cumsum z    range 1 len z  1      plt plot zm      plt axis  0 50 60 80    plt show    n   np arange 1 51  su   68   4   np sqrt n  sl   68 - 4   np sqrt n   plt plot n su n sl   plt axis  0 50 60 80   plt show

User · Answer

The hold on  feature is switched on by default in matplotlib pyplot  So each time you evoke plt plot   before plt show   a drawing is added to the plot  Launching plt plot   after the function plt show   leads to redrawing the whole picture

User · Answer

check pyplot  docs  For completeness    import numpy as np import matplotlib pyplot as plt   evenly sampled time at 200ms intervals t   np arange 0   5   0 2     red dashes  blue squares and green triangles plt plot t  t   r--   t  t  2   bs   t  t  3   g    plt show

User · Answer

You can use the following   plt hold True

User · Answer

Just call plt show   at the end   import numpy as np import matplotlib pyplot as plt  plt axis  0 50 60 80   for i in np arange 1 5       z   68   4   np random randn 50      zm   np cumsum z    range 1 len z  1      plt plot zm       n   np arange 1 51  su   68   4   np sqrt n  sl   68 - 4   np sqrt n   plt plot n su n sl   plt show

[python] Python equivalent to 'hold on' in Matlab

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