投到IJHMT的文章状态变成了ready for decision，突然感觉到有一丝慌，期望能得到一个好结果吧。
#matplotlib
Matplotlib has two interface:
axes.Axes in order to render visualizations on an instance of figure.Figurepyplot moduleThings to remember:
##Figure
The figure keeps track of child Axes and a figure can have any number of Axes
fig = plt.figure() # an empty figure with no axes
fig.suptitle('No axes on this figure') # Add a title so we know which it is
fig, ax_lst = plt.subplots(2, 2) # a figure with a 2x2 grid of Axes
##Axes
##Axis
LocatorFormatter#matplotlib.rcParams
##matplotlibrc files
matplotlib uses matplotlibrc configuration files to customize all kinds of properties, which we call rc settings or rc parameters. You can control the defaults of almost every property in matplotlib: figure size and dpi, line width, color and style, axes, axis and grid properties, text and font properties and so on.
##matplotlib.rcParams
You can also dynamically change the default rc settings in a python script or interactively from the python shell. All of the rc settings are stored in a dictionary-like variable called matplotlib.rcParams, which is global to the matplotlib package. rcParams can be modified directly, for example:
mpl.rcParams['lines.linewidth'] = 2
mpl.rcParams['lines.color'] = 'r'
plt.plot(data)
The matplotlib.rc() command can be used to modify multiple settings in a single group at once, using keyword arguments:
mpl.rc('lines', linewidth=4, color='g')
plt.plot(data)
#matplotlib.pyplot
##Working with multiple figures and axes
pyplot has the concept of the current figure and the current axes. All plotting commands apply to the current axes. The function gca() returns the current axes (a matplotlib.axes.Axes instance), and gcf() returns the current figure (matplotlib.figure.Figure instance). Normally, you don’t have to worry about this, because it is all taken care of behind the scenes.
import matplotlib.pyplot as plt
plt.figure(1) # the first figure
plt.subplot(211) # the first subplot in the first figure
plt.plot([1, 2, 3])
plt.subplot(212) # the second subplot in the first figure
plt.plot([4, 5, 6])
plt.figure(2) # a second figure
plt.plot([4, 5, 6]) # creates a subplot(111) by default
plt.figure(1) # figure 1 current; subplot(212) still current
plt.subplot(211) # make subplot(211) in figure1 current
plt.title('Easy as 1, 2, 3') # subplot 211 title
##LaTex There are two ways to use LaTex:
mathtex#Pointwise-extrude-smooth_factors
##Explicit range: 0~10 prevent crossing of grid lines.
##Implicit range: 0~\infty, but double the value of explicit.
##Kinsey Barth prevent crossing of the grid lines in the marching direction.
range: 3~\infty when the front includes severe concavities, default value is 0(OFF).
##Volume range:0~1 determine how rapidly the grid clustering on the front relaxes as the extrusion steps forward.
#new idea
Add points gradually when calculating unsteady Stefan problem and interplote the value by conservation method developed by Kun Qu.