minor changes
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@ -29,7 +29,7 @@ ax2 = ax1.twinx()
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#plt.scatter(x,df['rpm_FrontL'], s=scattersize, alpha=scatteralpha, label="rpm_FrontL")
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#plt.scatter(x,df['rpm_FrontL'], s=scattersize, alpha=scatteralpha, label="rpm_FrontL")
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ax1.plot(x,np.array(df['vbat_Front']), c='b', alpha=0.5, label="vbat_Front")
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ax1.plot(x,np.array(df['vbat_Front']), c='b', alpha=0.5, label="vbat_Front")
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ax1.plot(x,np.array(df['vbat_Rear']), c='r', alpha=0.5, label="vbat_Rear")
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ax1.plot(x,np.array(df['vbat_Rear']), c='r', alpha=0.5, label="vbat_Rear")
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ax2.plot(x,np.array(df['cmd_FrontL']), c='r', alpha=0.5, label="cmd_FrontL")
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ax2.plot(x,np.array(df['rpm_FrontL']), c='g', alpha=0.5, label="rpm_FrontL")
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#plt.plot(x,np.array(df['currentConsumed']), c='g', alpha=0.5, label="currentConsumed")
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#plt.plot(x,np.array(df['currentConsumed']), c='g', alpha=0.5, label="currentConsumed")
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#plt.scatter(x,df['rpm_FrontR'], s=scattersize, alpha=scatteralpha, label="rpm_FrontR")
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#plt.scatter(x,df['rpm_FrontR'], s=scattersize, alpha=scatteralpha, label="rpm_FrontR")
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