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我有以下代碼來使用Jupyter在Pytho中創建一組2 x 2圖。問題是第四個圖的左邊y標籤(右下)與第三個右邊的y標籤相沖突。我試圖將第四個情節的left-y-label的縮放比例改爲數千,所以不是顯示-1000,0,1000等等,而是僅僅爲了給標題留出足夠的空間1,0,1。我怎樣才能做到這一點?如何在matplotlib中將y軸設置爲成千上萬
下面我的代碼:
#Testing 2 x 2 plots for FO reporting
plt.figure(figsize=(15,9))
#First Plot
ax1=plt.subplot(2,2,1)
plt.title("Downhole Pressure")
ax1.plot(Time, Downhole_pressure, 'b', markersize=2, label="Downhole pressure")
plt.xlabel("Injection time", fontsize=10)
plt.xlim(0,80)
plt.ylabel("Pressure, (psi)", fontsize=10)
plt.ylim(6500,7500)
plt.legend(bbox_to_anchor=(.999,.89), prop={'size': 10})
ax2=ax1.twinx()
ax2.plot(Time, Slurry_rate,'m', markersize=2, label="Slurry")
ax2.plot(Time, Proppant_rate, 'g', markersize=2, label="Proppant")
plt.ylabel("Injection rate, (BPM))", fontsize=10)
plt.ylim(0,100)
plt.legend(bbox_to_anchor=(.879,.825), prop={'size': 10})
#Second Plot
ax1=plt.subplot(2,2,2)
plt.title("Fracture Width")
ax1.plot(Time, Max_Frac_Witdth, 'b', markersize=2, label="Max")
ax1.plot(Time, Mean_Frac_Width, 'r', markersize=2, label="Mean")
plt.xlabel("Injection time", fontsize=10)
plt.xlim(0,80)
plt.ylabel("Fracture width, (mm)", fontsize=10)
plt.ylim(0,10)
plt.legend(bbox_to_anchor=(.84,.89), prop={'size': 10})
ax2=ax1.twinx()
ax2.plot(Time, Slurry_rate,'m', markersize=2, label="Slurry")
ax2.plot(Time, Proppant_rate, 'g', markersize=2, label="Proppant")
plt.ylabel("Injection rate, (BPM))", fontsize=10)
plt.ylim(0,100)
plt.legend(bbox_to_anchor=(.879,.775), prop={'size': 10})
#Third Plot
ax1=plt.subplot(2,2,3)
plt.title("Fracture Height")
ax1.plot(Time, Max_Frac_Ver_Pos, 'b', markersize=2, label="Max")
ax1.plot(Time, Min_Frac_Ver_Pos, 'r', markersize=2, label="Min")
ax1.plot(Time, Frac_Ver_Height, 'darkblue', markersize=2, label="Fracture Vertical Height")
plt.xlabel("Injection time", fontsize=10)
plt.xlim(0,80)
plt.ylabel("Fracture Vertical Position (ft)", fontsize=10)
plt.ylim(-200,400)
plt.legend(bbox_to_anchor=(.99,.6), prop={'size': 10})
ax2=ax1.twinx()
ax2.plot(Time, Slurry_rate,'m', markersize=2, label="Slurry")
ax2.plot(Time, Proppant_rate, 'g', markersize=2, label="Proppant")
plt.ylabel("Injection rate, (BPM))", fontsize=10)
plt.ylim(0,100)
plt.legend(bbox_to_anchor=(.82,.775), prop={'size': 10})
#Fourth Plot
ax1=plt.subplot(2,2,4)
plt.title("Fracture Length")
ax1.plot(Time, Max_Frac_Trans_Pos, 'b', markersize=2, label="Max")
ax1.plot(Time, Min_Frac_Trans_Pos, 'r', markersize=2, label="Min")
ax1.plot(Time, Frac_Trans_Length, 'darkblue', markersize=2, label="Fracture Transversal Length")
plt.xlabel("Injection time", fontsize=10)
plt.xlim(0,80)
plt.ylabel("Fracture Transversal Position (ft)", fontsize=10)
plt.ticklabel_format(style='sci', axis='x', scilimits=(-2e3,3e3)) #tried, didn't work
#plt.ylim(-2e3,3e3) #tried, didn't work
plt.legend(bbox_to_anchor=(.99,.6), prop={'size': 10})
ax2=ax1.twinx()
ax2.plot(Time, Slurry_rate,'m', markersize=2, label="Slurry")
ax2.plot(Time, Proppant_rate, 'g', markersize=2, label="Proppant")
plt.ylabel("Injection rate, (BPM))", fontsize=10)
plt.ylim(0,100)
plt.legend(bbox_to_anchor=(.82,.775), prop={'size': 10})
plt.savefig('side-by-side_09.png', dpi=300)
#plt.show()
plt.gcf().clear()
plt.close('all')
預先感謝您的幫助!
它的工作原理好於預期!非常感謝! – Pegaso