Matplotlib Specify format of floats for tick labels

Question

I am trying to set the format to two decimal numbers in a matplotlib subplot environment  Unfortunately  I do not have any idea how to solve this task   To prevent using scientific notation on the y-axis I used ScalarFormatter useOffset False  as you can see in my snippet below  I think my task should be solved by passing further options arguments to the used formatter  However  I could not find any hint in matplotlib s documentation   How can I set two decimal digits or none  both cases are needed   I am not able to provide sample data  unfortunately     -- SNIPPET --  f  axarr   plt subplots 3  sharex True   data   conv air x   range 0  len data    axarr 0  scatter x  data  axarr 0  set ylabel   T  mathrm air 2 2     size FONT SIZE  axarr 0  yaxis set major locator MaxNLocator 5   axarr 0  yaxis set major formatter ScalarFormatter useOffset False   axarr 0  tick params direction  out   labelsize FONT SIZE  axarr 0  grid which  major   alpha 0 5  axarr 0  grid which  minor   alpha 0 2   data   conv dryer x   range 0  len data    axarr 1  scatter x  data  axarr 1  set ylabel   T  mathrm dryer 2 2     size FONT SIZE  axarr 1  yaxis set major locator MaxNLocator 5   axarr 1  yaxis set major formatter ScalarFormatter useOffset False   axarr 1  tick params direction  out   labelsize FONT SIZE  axarr 1  grid which  major   alpha 0 5  axarr 1  grid which  minor   alpha 0 2   data   conv lambda x   range 0  len data    axarr 2  scatter x  data  axarr 2  set xlabel  Iterationsschritte   size FONT SIZE  axarr 2  xaxis set major locator MaxNLocator integer True   axarr 2  set ylabel    lambda    size FONT SIZE  axarr 2  yaxis set major formatter ScalarFormatter useOffset False   axarr 2  yaxis set major locator MaxNLocator 5   axarr 2  tick params direction  out   labelsize FONT SIZE  axarr 2  grid which  major   alpha 0 5  axarr 2  grid which  minor   alpha 0 2

User · Answer

The answer above is probably the correct way to do it, but didn't work for me.

The hacky way that solved it for me was the following:

ax = <whatever your plot is> 
# get the current labels 
labels = [item.get_text() for item in ax.get_xticklabels()]
# Beat them into submission and set them back again
ax.set_xticklabels([str(round(float(label), 2)) for label in labels])
# Show the plot, and go home to family 
plt.show()

User · Answer

In matplotlib 3 1  you can also use ticklabel format  To prevents scientific notation without offsets   plt gca   ticklabel format axis  both   style  plain   useOffset False

User · Answer

format labels using lambda function  3x the same plot with differnt y-labeling Minimal example import numpy as np import matplotlib as mpl import matplotlib pylab as plt from matplotlib ticker import FormatStrFormatter  fig  axs   mpl pylab subplots 1  3   xs   np arange 10  ys   1   xs    2   1e-3  axs 0  set title  default y-labeling   axs 0  scatter xs  ys  axs 1  set title  custom y-labeling   axs 1  scatter xs  ys  axs 2  set title  x  pos arguments   axs 2  scatter xs  ys    fmt   lambda x  pos   1     0f e-3  format  x-1  1e3  pos  axs 1  yaxis set major formatter mpl ticker FuncFormatter fmt    fmt   lambda x  pos   x   f  npos   f   format x  pos  axs 2  yaxis set major formatter mpl ticker FuncFormatter fmt    You can also use  real -functions instead of lambdas  of course  https   matplotlib org 3 1 1 gallery ticks and spines tick-formatters html

User · Answer

If you are directly working with matplotlib s pyplot  plt  and if you are more familiar with the new-style format string  you can try this   from matplotlib ticker import StrMethodFormatter plt gca   yaxis set major formatter StrMethodFormatter   x   0f       No decimal places plt gca   yaxis set major formatter StrMethodFormatter   x   2f       2 decimal places   From the documentation      class matplotlib ticker StrMethodFormatter fmt        Use a new-style format string  as used by str format    to format the   tick       The field used for the value must be labeled x and the field used for   the position must be labeled pos

User · Answer

See the relevant documentation in general and specifically  from matplotlib ticker import FormatStrFormatter  fig  ax   plt subplots    ax yaxis set major formatter FormatStrFormatter    2f

[python] Matplotlib: Specify format of floats for tick labels

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