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| import pandas as pd | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import pylab | |
| import datetime as dt | |
| ## | |
| # Response time analysis | |
| df_tbi = pd.DataFrame(np.arange(1,8)) | |
| df_tbi['response_cal_time'] = np.array([850,4345,19000,5827,3904,2756,8550]) | |
| df_tbi['response_time'] = np.array([850,4345,13240,2947,1024,2756,5670]) | |
| df_tbi['response_time_off'] = np.array([240,1650,5140,1147,360,1096,1950]) | |
| # | |
| df_ttns = pd.DataFrame(np.arange(1,6)) | |
| df_ttns['response_cal_time'] = np.array([14214,2765,216,5690,2906]) | |
| df_ttns['response_time'] = np.array([11334,2765, 216,1370,2906]) | |
| df_ttns['response_time_off'] = np.array([3894,894, 216, 530,986]) | |
| # Response time analysis with current reading | |
| def gshow(df,start_time): | |
| pylab.boxplot([df['response_cal_time'],df['response_time'],df['response_time_off']]) | |
| # Handle weekends (only up to one weekend) | |
| if dt.datetime.now().weekday() < dt.datetime.strptime(start_time, "%Y-%m-%d %H:%M").weekday(): | |
| # passed whole week | |
| minutes = (dt.datetime.now() - (dt.datetime.strptime(start_time, "%Y-%m-%d %H:%M")-dt.timedelta(hours=48))).total_seconds() / 60 | |
| off = (dt.datetime.now() - (dt.datetime.strptime(start_time, "%Y-%m-%d %H:%M")-dt.timedelta(hours=48))).days*(24-8)*60 | |
| elif dt.datetime.now().weekday() >= 5: | |
| # Mid-weekend | |
| minutes = (dt.datetime.now() - (dt.datetime.strptime(start_time, "%Y-%m-%d %H:%M")-dt.timedelta(hours=(dt.datetime.now().weekday()-4)*24))).total_seconds() / 60 | |
| off = (dt.datetime.now() - (dt.datetime.strptime(start_time, "%Y-%m-%d %H:%M")-dt.timedelta(hours=(dt.datetime.now().weekday()-4)))).days*(24-8)*60 | |
| else: | |
| # No weekend | |
| minutes = (dt.datetime.now() - dt.datetime.strptime(start_time, "%Y-%m-%d %H:%M")).total_seconds() / 60 | |
| off = (dt.datetime.now() - dt.datetime.strptime(start_time, "%Y-%m-%d %H:%M")).days*(24-8)*60 | |
| cal_minutes = (dt.datetime.now() - dt.datetime.strptime(start_time, "%Y-%m-%d %H:%M")).total_seconds() / 60 | |
| pylab.scatter([1], cal_minutes) | |
| pylab.scatter([2], minutes) | |
| pylab.scatter([3], minutes-off) | |
| pylab.xticks([1,2,3],['Calendar days','Work days','Work time']) | |
| plt.show() | |
| gshow(df_tbi,"2014-03-14 18:00") | |
| gshow(df_ttns,"2014-03-24 13:50") |
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