Striplog with datetime

What are datetimes?



In [14]:

    
from datetime import datetime



In [35]:

    
d1 = datetime.fromisoformat("2009-12-01")
d1









    Out[35]:





datetime.datetime(2009, 12, 1, 0, 0)

Or use strptime():



In [36]:

    
d2 = datetime.strptime("2015-07-01", "%Y-%m-%d")
d2









    Out[36]:





datetime.datetime(2015, 7, 1, 0, 0)

Go back to a string:



In [43]:

    
d2.strftime("%Y-%B-%d at %H:%M:%S")  # Note changed format string.









    Out[43]:





'2015-July-01 at 00:00:00'

Time delta:



In [37]:

    
d = d2 - d1
d









    Out[37]:





datetime.timedelta(days=2038)



In [17]:

    
d.days









    Out[17]:





2038

Boolean operators measure time relationships:



In [18]:

    
d2 > d1  # 'greater than' means 'after'









    Out[18]:





True

Use datetime in striplog



In [72]:

    
striplog_csv = """Top,Base,Datetime,Comp Type
500,525,2010-02-01,Perforation
505,530,2014-08-01,Workover
600,625,2012-02-01,Perforation
650,675,2015-02-01,Screen
700,725,2011-02-01,Perforation
"""



In [73]:

    
from striplog import Striplog

s = Striplog.from_csv(text=striplog_csv)
s.plot(aspect=4)

Using a legend



In [77]:

    
s[0]









    Out[77]:




top 500.0
primary type Perforation
summary 25.00 m of Perforation
description 
data datetime 2010-02-01
base 525.0



In [75]:

    
legend_csv = """colour,comp type
red,Perforation
blue,Workover
green,Screen"""

from striplog import Legend

legend = Legend.from_csv(text=legend_csv)
legend









    Out[75]:




component width hatch colour
type perforation None None #ff0000
type workover None None #0000ff
type screen None None #008000



In [86]:

    
legend.plot()



In [87]:

    
s.plot(aspect=3, legend=legend)

Filtering the striplog

Bit of a glitch: you can't have an empty striplog.



In [88]:

    
for i in s:
    i.data['datetime'] = datetime.fromisoformat(i.data['datetime'])



In [89]:

    
s[0].data









    Out[89]:





{'datetime': datetime.datetime(2010, 2, 1, 0, 0)}



In [91]:

    
from ipywidgets import interact

@interact(year=(2009,2018,1))
def make_plot(year):
    y = datetime(year,1,1)
    filt = [i for i in s if i.data['datetime'] <= y]
    if filt:
        Striplog(filt).plot(aspect=4, legend=legend)