A memo for making a figure that can be posted to a journal with matplotlib
I'm sorry it's not a good article, but I wrote it down because I always forget it and have a hard time when I correct the figure before submitting the paper.
Specify the size of the figure in the first place
fig = plt.figure(figsize=(15,3))
Put text inside and outside the figure
Coordinate specification by relative ratio
ax.annotate('Test', xy=(0, 1.1), xycoords='axes fraction', fontsize=16)
Coordinate specification at data points
ax.annotate('Test', xy=(0, 0.1), xycoords='data', fontsize=16)
Supplement
Above ax. Somehow
ax = fig.add_subplot(1,1,1)
It is ax. The same notation is used below.
Erase the unnecessary parts of the x-axis value.
ax.xaxis.set_ticklabels([])
Erase tick
ax.axes.get_xaxis().set_ticks([])
Make the notation of the numerical value of the axis like 0.1, 0.5
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
ax.xaxis.set_major_formatter(FormatStrFormatter("%.1f"))
When the y-axis number is long
ax.yaxis.set_major_formatter(FormatStrFormatter("%1.e"))
Reverse the direction of the axis
plt.gca().invert_xaxis()
Expand the values on the axis as appropriate
plt.tick_params(labelsize=20)
Change the aspect ratio (regardless of the data).
In this case, it is necessary to acquire the data ratio of plot before using it. That is, in the case of 0.7, after ax.plot
ax.set_aspect(0.7/ax.get_data_ratio())
The color bar is so long that I don't like it, so I just shorten it.
colorbar(bar,shrink=0.3)
Write a label with a horizontal color bar
cbar=colorbar(bar, orientation='horizontal')
cbar.set_label(‘color label',size=14)
Logarithmic color
from matplotlib.colors import LogNorm
bar=ax.imshow(stdall,vmin=0.01,vmax=1.0,extent[w[0],w[-1],2250.0,6750.0],\
interpolation='nearest',cmap="hot",norm=LogNorm())
Add a color bar tick
cbar=colorbar(bar, orientation='horizontal',ticks=\
[0.05,0.06,0.07,0.08,0.09,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0])
Match the size of the color bars to the figure
from mpl_toolkits.axes_grid1 import make_axes_locatable
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
plt.colorbar(a, cax=cax)
Make sure that the label below does not stick out
fig.subplots_adjust(bottom=0.2)
Output as PDF to prevent strange margins and label breaks.
plt.savefig("figure1.pdf", bbox_inches="tight", pad_inches=0.0)
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