<jupyter_start><jupyter_text><jupyter_code>data3
np.sum(data3['per_vol'])
plt.scatter(data3['sett_vel'],data3['per_vol'],color='red')
plt.bar(data2['Sett_vel'],data2['Per_vol'],color='purple')
plt.bar(data3['sett_vel'],data3['per_vol'],color='red')
data4=pd.read_csv('data4.csv')
data4
np.sum(data4['per_vol'])
data4=data4.iloc[0:26,1:3]
data4
data4.loc[13,'sett_vol']= 0.003243
data4
plt.semilogx(data4['sett_vol'],data4['per_vol'],color='black')
plt.grid()
plt.style.use('default')
plt.figure(figsize=(10,9))
plt.semilogx(data2['Sett_vel'],data2['Per_vol'],color='purple',marker='.',label='Drill Cuttings Settling Velocity')
plt.semilogx(data3['sett_vel'],data3['per_vol'],color='red',marker='.',label='WBM Settling Velocity')
plt.semilogx(data4['sett_vol'],data4['per_vol'],color='black',marker='.',label='SBM Settling Velocity')

plt.axvspan(0.0000055,0.001,alpha=0.5,label='Clay')
plt.axvspan(0.001,0.50,alpha=0.3,label='Silt',color='orange')
plt.axvspan(0.50,40,alpha=0.3,label='Sand',color='Red')
plt.axvspan(40,100,alpha=0.3,label='Gravel',color='Purple')
plt.xlabel('SETTLING VELOCITY (cm/s)')
plt.ylabel('PERCENT VOLUME (%)')
plt.grid()
plt.legend(loc='upper left')<jupyter_output><empty_output>
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