In [19]: import matplotlib.pyplot as plt In [20]: fig=plt.figure(figsize=(8,6)) In [21]: ax=range(18) In [22]: ax[0]=fig.add_axes((0.1,0.9,0.25,0.05)) ...: ax[1]=fig.add_axes((0.1,0.7,0.25,0.18))
...: ax[15]=fig.add_axes((0.4,0.1,0.25,0.18)) ...: ax[16]=fig.add_axes((0.7,0.3,0.25,0.05)) ...: ax[17]=fig.add_axes((0.7,0.1,0.25,0.18)) ...: In [23]: for i in range(18):
...: ax[i].set_xlabel("Frequency [Hz]") ...: ax[i].grid() ...: if i%2==0: ...: ax[i].set_ylabel("Phase [deg]") ...: ax[i].set_ylim(0,360) ...: if i%2==1: ...: ax[i].set_ylabel("Magunitude [db]") ...: ax[i].set_ylim(0,100) ...: In [24]: plt.show()
大量のグラフを描かなきゃならないとき、ほんと、matplotlibは助かる。
----- I draw numerous graphs in NVH analysis. The number is input points by the direction (x,y,z) by respons points by the direction (x,y,z). I coded the drawing 9 graphs script with matplotlib. I show only the graph frame. Please fill your graph with ax[i].plot(x,y).
Matplotlib helps me a lot when drawing numerous graphs.