1.imshow()
matplotlib.pyplot.imshow(X,?cmap=None,?norm=None,?aspect=None,?interpolation=None,?alpha=None,?vmin=None,?vmax=None,?origin=None,?extent=None,?shape=<deprecated parameter>,?filternorm=1,?filterrad=4.0,?imlim=<deprecated parameter>,?resample=None,?url=None,?*,?data=None,?**kwargs)
(1)cmap
Accent, Accent_r, Blues, Blues_r, BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens, Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy, RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn, autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat, gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r, gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma, magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, terrain, terrain_r, twilight, twilight_r, twilight_shifted, twilight_shifted_r, viridis, viridis_r, winter, winter_r
2.Axis()
xmin,xmax,ymin,ymax=axis()
xmin,xmax,ymin,ymax=axis([xmin,xmax,ymin,ymax])
xmin,xmax,ymin,ymax=axis(option)
xmin,xmax,ymin,ymax=axis(**kwargs)
(1)option?:?bool or str
ValueDescription
'on'? ? Turn on?axis?lines and labels. Same as?True.
'off'? ? Turn off?axis?lines and labels. Same as?False.
'equal' Set equal scaling (i.e., make circles circular) by changing?axis?limits.
'scaled'? ? Set equal scaling (i.e., make circles circular) by changing dimensions of the plot box.
'tight'? ? Set limits just large enough to show all data.
'auto'? ? Automatic scaling (fill plot box with data).
'normal'? ? Same as 'auto'; deprecated.
'image'? ? 'scaled' with?axis?limits equal to data limits.
'square'? ? Square plot; similar to 'scaled', but initially forcing?xmax-xmin?=?ymax-ymin.
3.cubplot()
subplot(nrows,ncols,index,**kwargs)
subplot(pos,**kwargs)
subplot(ax)
4.plt.rcParams[]?
原文鏈接：https://www.cnblogs.com/pacino12134/p/9776882.html
5.plot()
color：顏色姑曙，linewidth：線寬，linestyle：線條類型迈倍，label：圖例伤靠，marker：數(shù)據(jù)點的類型，alpha:透明度
原文鏈接：https://blog.csdn.net/weixin_40683253/article/details/87376085
原文鏈接：https://blog.csdn.net/sinat_36219858/article/details/79800460
十六進制顏色代碼表（文字型）：https://blog.csdn.net/sutiesenn/article/details/84962522
6.legend（）
原文鏈接：https://blog.csdn.net/qq_33221533/article/details/81431264
7.time啼染、xlabel宴合、ylabel焕梅、xticks、yticks函數(shù)：設(shè)置坐標(biāo)軸
? ? ? ? 可以調(diào)用 xlable() 和 ylabel() 函數(shù)分別設(shè)置 X 軸卦洽、Y 軸的名稱贞言，也可以通過 title() 函數(shù)設(shè)置整個數(shù)據(jù)圖的標(biāo)題，還可以調(diào)用 xticks()阀蒂、yticks() 函數(shù)分別改變 X 軸该窗、Y 軸的刻度值（允許使用文本作為刻度值）。
原文鏈接：http://c.biancheng.net/view/2705.html
xticks()蚤霞、yticks() 函數(shù)：https://matplotlib.org/api/_as_gen/matplotlib.pyplot.xticks.html?highlight=xticks#matplotlib.pyplot.xticks
（1）matplotlib.pyplot.xticks（ticks = None酗失，labels = None，** kwargs?）
（2）matplotlib.pyplot.yticks(ticks=None,?labels=None,?**kwargs)
8.ion()和ioff()的使用
原文鏈接：https://blog.csdn.net/zbrwhut/article/details/80625702
9.cla() clf() close()用途
(1).cla() # Clear axis即清除當(dāng)前圖形中的當(dāng)前活動軸昧绣。其他軸不受影響级零。
(2).clf()? # Clear figure清除所有軸，但是窗口打開滞乙，這樣它可以被重復(fù)使用奏纪。
(3).close() # Close a figure window
10.xlim()、ylim()斩启、axis()
原文鏈接：https://blog.csdn.net/The_Time_Runner/article/details/89928057
11.ax.spines——坐標(biāo)軸設(shè)置
原文鏈接：https://blog.csdn.net/qq_41011336/article/details/83015986
12.linspace()
原文鏈接：https://blog.csdn.net/weixin_41042404/article/details/81913901
13.gca()
當(dāng)前的圖表和子圖可以使用plt.gcf()和plt.gca()獲得序调，分別表示Get Current Figure和Get Current Axes。在pyplot模塊中兔簇，許多函數(shù)都是對當(dāng)前的Figure或Axes對象進行處理发绢，比如說：plt.plot()實際上會通過plt.gca()獲得當(dāng)前的Axes對象ax，然后再調(diào)用ax.plot()方法實現(xiàn)真正的繪圖垄琐。?
原文鏈接：https://www.cnblogs.com/ymjyqsx/p/7390288.html
14.scatter()散點圖
原文鏈接：https://blog.csdn.net/qq_38486203/article/details/80578260
