Changing plot scale by a factor in matplotlib

Question

I am creating a plot in python  Is there a way to re-scale the axis by a factor  The yscale and xscale commands only allow me to turn log scale off    Edit  For example  If I have a plot where the x scales goes from 1 nm to 50 nm  the x scale will range from 1x10  -9  to 50x10  -9  and I want it to change from 1 to 50  Thus  I want the plot function to divide the x values placed on the plot by 10  -9

User · Accepted Answer

Instead of changing the ticks  why not change the units instead  Make a separate array X of x-values whose units are in nm  This way  when you plot the data it is already in the correct format  Just make sure you add a xlabel to indicate the units  which should always be done anyways    from pylab import      Generate random test data in your range N   200 epsilon   10   -9 0  X   epsilon  50 random N    1  Y   random N     X2 now has the  units  of nanometers by scaling X X2    1 epsilon    X  subplot 121  scatter X Y  xlim epsilon 50 epsilon  xlabel  meters    subplot 122  scatter X2 Y  xlim 1  50  xlabel  nanometers    show

User · Answer

As you have noticed  xscale and yscale does not support a simple linear re-scaling  unfortunately   As an alternative to Hooked s answer  instead of messing with the data  you can trick the labels like so   ticks   ticker FuncFormatter lambda x  pos    0 g   format x scale   ax xaxis set major formatter ticks    A complete example showing both x and y scaling   import numpy as np import pylab as plt import matplotlib ticker as ticker    Generate data x   np linspace 0  1e-9  y   1e3 np sin 2 np pi x 1e-9    one period  1k amplitude    setup figures fig   plt figure   ax1   fig add subplot 121  ax2   fig add subplot 122    plot two identical plots ax1 plot x  y  ax2 plot x  y     Change only ax2 scale x   1e-9 scale y   1e3 ticks x   ticker FuncFormatter lambda x  pos    0 g   format x scale x   ax2 xaxis set major formatter ticks x   ticks y   ticker FuncFormatter lambda x  pos    0 g   format x scale y   ax2 yaxis set major formatter ticks y   ax1 set xlabel  meters   ax1 set ylabel  volt   ax2 set xlabel  nanometers   ax2 set ylabel  kilovolt    plt show      And finally I have the credits for a picture     Note that  if you have text usetex  true as I have  you may want to enclose the labels in    like so     0 g

User · Answer

To set the range of the x-axis  you can use set xlim left  right   here are the docs  Update   It looks like you want an identical plot  but only change the  tick values   you can do that by getting the tick values and then just changing them to whatever you want  So for your need it would be like this   ticks   your plot get xticks   10  9 your plot set xticklabels ticks

[python] Changing plot scale by a factor in matplotlib

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