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superscript.py v 0.0.0.006

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art 2020-03-03 15:42:37 -06:00
parent a1aa5b3d74
commit 9c105bc218
1 changed files with 25 additions and 39 deletions
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64
data analysis/superscript.py
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@ -3,10 +3,12 @@
# Notes:
# setup:
__version__ = "0.0.0.005"
__version__ = "0.0.0.006"
# changelog should be viewed using print(analysis.__changelog__)
__changelog__ = """changelog:
0.0.0.006:
- fixes
0.0.0.005:
- imported pickle
- created custom database object
@ -47,52 +49,40 @@ def main():
def simpleloop(data, tests): # expects 3D array with [Team][Variable][Match]
return_vector = []
return_vector = {}
for team in data:
team_vector = []
variable_vector = {}
for variable in team:
for variable in data[team]:
variable_vector = []
test_vector = {}
variable_data = data[team][variable]
for test in tests:
for test in tests[variable]:
if(test == "basic" or test == "basic_stats" or test == 0):
test_vector[test] = simplestats(variable_data, test)
variable_vector.append(an.basic_stats(variable))
#test_vector[test] = None
variable_vector[variable] = test_vector
if(test == "histo" or test == "histo_analysis" or test == 1):
variable_vector.append(an.histo_analysis(variable))
if(test == "r.lin" or test == "regression.lin" or test == 2):
variable_vector.append(an.regression("cpu", range(0, len(variable) - 1), variable, ["lin"]))
if(test == "r.log" or test == "regression.log" or test == 3):
variable_vector.append(an.regression("cpu", range(0, len(variable) - 1), variable, ["log"]))
if(test == "r.exp" or test == "regression.exp" or test == 4):
variable_vector.append(an.regression("cpu", range(0, len(variable) - 1), variable, ["exp"]))
if(test == "r.ply" or test == "regression.ply" or test == 5):
variable_vector.append(an.regression("cpu", range(0, len(variable) - 1), variable, ["ply"]))
if(test == "r.sig" or test == "regression.sig" or test == 6):
variable_vector.append(an.regression("cpu", range(0, len(variable) - 1), variable, ["sig"]))
team_vector.append(variable_vector)
return_vector.append(team_vector)
return_vector[team] = variable_vector
return return_vector
def simplestats(data, test):
if(test == "simple_stats"):
return an.basic_stats(data)
def metricsloop(group_data, observations, database, tests): # listener based metrics update
pass
class database:
data = {}
@ -156,8 +146,4 @@ class database:
data = pickle.load(open(location, "rb"))
def metricsloop(group_data, observations, database, tests): # listener based metrics update
pass
main()