In [1]:

    

import pysimpactcyan
import pandas as pd


    

In [2]:

    

# First, we'll need to tell the Simpact simulation engine to use the MaxART-specific simulation
simpact = pysimpactcyan.PySimpactCyan()
simpact.setSimulationPrefix("maxart")


    

    




Setting data directory to /usr/local/share/simpact-cyan/

In [3]:

    

# We configure the simulation to use one of the files with fake randomization data

cfg = { "facilities.randomization": "${SIMPACT_DATA_DIR}/maxart-randomization-fake_1.csv" }
r = simpact.run(cfg, "/tmp/simptest")

# We then read the steps as they have been written to a CSV log file
steps = pd.read_csv(r["logsteps"])


    

    




Using identifier 'maxart-2016-10-16-18-27-46_9172_L0IMzk26-'
Results will be stored in directory '/tmp/simptest'
Running simpact executable...
Done.

# read seed from /dev/urandom
# Rng engine mt19937
# Using seed 269339523
# WARNING! Ignoring negative values when reading /usr/local/share/simpact-cyan/SWZ10adjv4.tif
# Performing extra check on read configuration parameters
# WARNING: ignoring consistency check for config key facilities.geo.coords (config value is '/usr/local/share/simpact-cyan/maxart-facilities.csv')
# WARNING: ignoring consistency check for config key facilities.randomization (config value is '/usr/local/share/simpact-cyan//maxart-randomization-fake_1.csv')
# WARNING: ignoring consistency check for config key population.agedistfile (config value is '/usr/local/share/simpact-cyan/sa_2003.csv')
# mNRM: using advanced algorithm
# Release version
# Simpact version is: 0.20.0rc1
# Current simulation time is 15.0083
# Number of events executed is 2877
# Started with 200 people, ending with 190 (difference is -10)

In [5]:

    

# Let's show this step data. The first line is written when the study is started (by default
# 5 years into the simulation). At that point, all facilities are in the control stage ('C').
# Then, the stage each facility is in is written at regular intervals, when new facilities enter
# the transitioning stage ('T'), or when they advance to the intervention stage ('I'). A final
# line is written when the study has ended ('Post' study).
steps


    

    
Out[5]:






  

    

      

      
time
      
Bulandzeni Clinic
      
Herefords Clinic
      
Hhukwini Clinic
      
Horo Clinic
      
Maguga Clinic
      
Malandzela Nazarene Clinic
      
Mshingishingini Nazarene Clinic
      
Ndvwabangeni Nazarene Clinic
      
Ndzingeni Nazarene Clinic
      
Ntfonjeni Clinic
      
Peak Nazarene Clinic
      
Pigg's Peak Government Hospital
      
Sigangeni Clinic
      
Siphocosini Clinic
    
  
  

    

      
0
      
5.00000
      
C
      
C
      
C
      
C
      
C
      
C
      
C
      
C
      
C
      
C
      
C
      
C
      
C
      
C
    
    

      
1
      
5.33333
      
C
      
T
      
C
      
C
      
C
      
C
      
C
      
T
      
C
      
C
      
C
      
C
      
C
      
C
    
    

      
2
      
5.66667
      
C
      
I
      
C
      
C
      
T
      
C
      
C
      
I
      
C
      
T
      
C
      
C
      
C
      
C
    
    

      
3
      
6.00000
      
C
      
I
      
C
      
T
      
I
      
C
      
C
      
I
      
C
      
I
      
T
      
C
      
C
      
C
    
    

      
4
      
6.33333
      
T
      
I
      
C
      
I
      
I
      
C
      
C
      
I
      
C
      
I
      
I
      
C
      
C
      
T
    
    

      
5
      
6.66667
      
I
      
I
      
T
      
I
      
I
      
T
      
C
      
I
      
C
      
I
      
I
      
C
      
C
      
I
    
    

      
6
      
7.00000
      
I
      
I
      
I
      
I
      
I
      
I
      
C
      
I
      
T
      
I
      
I
      
T
      
C
      
I
    
    

      
7
      
7.33333
      
I
      
I
      
I
      
I
      
I
      
I
      
T
      
I
      
I
      
I
      
I
      
I
      
T
      
I
    
    

      
8
      
7.66667
      
I
      
I
      
I
      
I
      
I
      
I
      
I
      
I
      
I
      
I
      
I
      
I
      
I
      
I
    
    

      
9
      
8.00000
      
Post
      
Post
      
Post
      
Post
      
Post
      
Post
      
Post
      
Post
      
Post
      
Post
      
Post
      
Post
      
Post
      
Post
    
  

In [ ]: