Change x axes scale in matplotlib

Question

I created this plot using Matlab    Using matplotlib  the x-axies draws large numbers such as 100000  200000  300000  I would like to have something like  1  2  3 and a 10 5 to indicate that it s actually 100000  200000  300000   Is there a simple way to create such scale in matplotlib

User · Answer

I find the simple solution  pylab ticklabel format axis  y  style  sci  scilimits  1 4

User · Answer

This is not so much an answer to your original question as to one of the queries you had in the body of your question   A little preamble  so that my naming doesn t seem strange   import matplotlib from matplotlib import rc from matplotlib figure import Figure ax   self figure add subplot  111     As has been mentioned you can use ticklabel format to specify that matplotlib should use scientific notation for large or small values   ax ticklabel format style  sci  scilimits  -3 4  axis  both     You can affect the way that this is displayed using the flags in rcParams  from matplotlib import rcParams  or by setting them directly  I haven t found a more elegant way of changing between  1e  and  x10   scientific notation than   ax xaxis major formatter  useMathText   True   This should give you the more Matlab-esc  and indeed arguably better appearance  I think   the following should do the same   rc  text   usetex True

User · Answer

Try using matplotlib pyplot ticklabel format   import matplotlib pyplot as plt     plt ticklabel format style  sci   axis  x   scilimits  0 0     This applies scientific notation  i e  a x 10 b  to your x-axis tickmarks

User · Answer

The scalar formatter supports collecting the exponents   The docs are as follows      class matplotlib ticker ScalarFormatter useOffset True    useMathText False  useLocale None  Bases  matplotlib ticker Formatter      Tick location is a plain old number  If useOffset  True and the data   range is much smaller than the data average  then an offset will be   determined such that the tick labels are meaningful  Scientific   notation is used for data  lt  10 -n or data    10 m  where n and m are   the power limits set using set powerlimits  n m    The defaults for   these are controlled by the axes formatter limits rc parameter    your technique would be   from matplotlib ticker import ScalarFormatter xfmt   ScalarFormatter   xfmt set powerlimits  -3 3      Or whatever your limits are          Make your plot    gca   xaxis set major formatter xfmt    To get the exponent displayed in the format x10 5  instantiate the ScalarFormatter with useMathText True     You could also use   xfmt set useOffset 10000    To get a result like this

[python] Change x axes scale in matplotlib

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