くぴんのブログ

振動・騒音解析業務では、数多くの周波数応答関数(Frequency Response Function)を描く。
入力点x方向(x,y,z)x応答点x方向x,y,z)で、何百という数になる。
そこで、matplotlibで９枚のグラフを描画するコードを描いてみた。
ここではグラフの枠だけ。中身は好きに埋めてください。ax[i].plot(x,y)で。

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[2]=fig.add_axes((0.4,0.9,0.25,0.05))
...: ax[3]=fig.add_axes((0.4,0.7,0.25,0.18))
...: ax[4]=fig.add_axes((0.7,0.9,0.25,0.05))
...: ax[5]=fig.add_axes((0.7,0.7,0.25,0.18))
...: ax[6]=fig.add_axes((0.1,0.6,0.25,0.05))
...: ax[7]=fig.add_axes((0.1,0.4,0.25,0.18))
...: ax[8]=fig.add_axes((0.4,0.6,0.25,0.05))
...: ax[9]=fig.add_axes((0.4,0.4,0.25,0.18))
...: ax[10]=fig.add_axes((0.7,0.6,0.25,0.05))
...: ax[11]=fig.add_axes((0.7,0.4,0.25,0.18))
...: ax[12]=fig.add_axes((0.1,0.3,0.25,0.05))
...: ax[13]=fig.add_axes((0.1,0.1,0.25,0.18))
...: ax[14]=fig.add_axes((0.4,0.3,0.25,0.05))
...: 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_xlim(10,200)
...: 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。

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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.



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