def part3():
from statistics import mean as m
x = m(example_list)
print("3 The mean is: ", x)
def confidence(self,features):
votes=[]
for i in self._classifiers:
v=i.classify(features)
votes.append(v)
choice_votes=votes.count(m(votes))
conf=float(choice_votes)/len(votes)
return conf
def part5():
from statistics import mean as m, stdev as s, variance as v
x = m(example_list)
print("5 The mean is: ", x)
y = s(example_list)
print("5 standard div si: ", y)
z = v(example_list)
print("5 Variance is: ", z)
def classAverage():
query = "SELECT * FROM student"
results = cursor.execute(query).fetchall()
averageList = []
if results:
for record in results:
grades = json.loads(record["grades"])
averageList += grades
print('Class average grade:', m(averageList))
prompt('\n\nPlease select another action:')
else:
prompt('You have no students in the class!')
def studentAverage():
firstName = input('Student first name: ')
lastName = input('Student last name: ')
query = "SELECT * FROM student WHERE first='" + firstName.lower(
) + "' AND last='" + lastName.lower() + "'"
results = cursor.execute(query).fetchall()
if results:
for record in results:
grades = json.loads(record["grades"])
print('Student average grade:', m(grades))
prompt('\n\nPlease select another action:')
else:
prompt(
'\n\nThat student does not exist! Please select another action:')
def studentAVG():
for eachStudent in studentDict:
gradelist = studentDict[eachStudent]
avgGrade = m(gradelist)
print(eachStudent, 'has an average of : avgGrade')
import statistics
lista = [1, 5, 2, 6, 4, 2, 6, 5, 4, 52, 1, 5, 2, 5, 6, 1]
print(statistics.mean(lista))
# wow moduł liczy na średnią z liczb zawartych w liście!
# to jest podstawowy sposób importowania modułów, ale istnieje wiele więcej
# dobra, to teraz kolejny sposób
import statistics as s # teraz cały moduł ukryty jest pod literą {
print(s.mean(lista))
# możesz importować tylko niektóre funkcje z danego moduły, żeby nie zapychać pamięci
from statistics import mean
print(mean(lista))
# i teraz użyć odpowiedniego skrótu
from statistics import mean as m
print(m(lista))
# mozemy importować kilka funkcji
from statistics import mean as m, median as d
print(m(lista))
print(d(lista))
# możemy zaimportować także wszsytkie funkcje z danego modułu i wedy wywołując
# poszczególne funkcje nie trzeba wpisywać nazwy biblikoteki
from statistics import *
print(mean(lista))
print(variance(lista))
exList = [5,2,3,7,8,9,4,5,6,1,0,3,5] import statistics as s print(s.mean(exList)) print(s.median(exList)) print(s.mode(exList)) print(s.stdev(exList)) print(s.variance(exList)) from statistics import mean print(mean(exList)) from statistics import mean as m print(m(exList)) from statistics import mean, stdev print(mean(exList), stdev(exList)) from statistics import mean as m, stdev as sd print(m(exList), sd(exList)) from statistics import * print(mean(exList), stdev(exList))
import moduleExample as epic import statistics as st from statistics import variance from statistics import mean as m epic.epic() print(st.mean([1, 2, 3, 4, 5])) print(m([1, 2, 3, 4, 5])) print(variance([1, 2, 3, 4, 5, 6, 7, 8]))
Use this. Imports the module X, and creates a reference to that module in the current namespace. Or in other words, after you’ve run this statement, you can use X.name to refer to things defined in module X. """ from X import * """ Do not use this. Namespace pollution After you’ve run this statement, you can simply use a plain name to refer to things defined in module X. But X itself is not defined, so X.name doesn’t work. """ from X import a, b, c """ You can now use a and b and c in your program. But not X.a or X.d. """ import X as s """ This will allow you to basically rename the module to whatever you want. People generally do this to shorten the name of the module. Matplotlib.pyplot is often imported as plt and numpy is often imported as np, for example. """ from statistics import mean as m """ Same as above but with the functions/objects """ from statistics import mean as m, median as d print(m(example_list)) print(d(example_list))
import statistics as s # This will be helpful when we don't want to write statistics as a whole, instead we can replace it with s just so that it becomes handy data = [2, 3, 4, 5, 5, 6, 7, 8, 99, 67] v = s.variance(data) print(v) # Now let's suppose we don't even wan't to use s.mean, we wan't to use only mean , for that from statistics import mean print(mean(data)) # let's just say you don't want to type mean also , then use from statistics import mode as m print(m(data)) # we can also combinely import the functions from statistics import median as M, mode as m # let's just say that we need to import everything, for that from statistics import * # so in this way we don't actually need to use modeuleName.functionName()
def gradeAvgStudent():
for eachStudent in studentDict:
gradeList = studentDict[eachStudent]
avgGrade = m(gradeList)
print(eachStudent, 'has average grade of', avgGrade)
#!/usr/bin/env python3 from statistics import mean as m print(m([3,3,2,3]))
exList = [5,6,2,1,6,7,2,2,7,4,7,7,7]
print("LONG WAY:\n"
"import statistics\n"
"exList = [5,6,2,1,6,7,2,2,7,4,7,7,7]\n"
"print(statistics.mean(exList))")
## print(s.mean(exList))
print("\nOPTIONAL WAY:\n"
"import statistics as s\n"
"print(s.mean(exList))")
## print(s.mean(exList))
print("\nOPTIONAL WAY:\n"
"from statistics import mean\n"
"print(mean(exList))")
## print(mean(exList))
print("\nOPTIONAL WAY:\n"
"from statistics import mean as m\n"
"print(m(exList))")
print(m(exList))
print("\nOTHER OPTIONS:\n"
"from statistics import mean, stdev <- can just rev these 2 fcns\n"
"from statistics import mean as m, stdev as s <- can just rev these 2 fcns as m. and s.\n"
"from statistics import * <- can just rev the fcns w/o prefix\n"
"")
separator()
def avgGrades():
for eachStudent in studentDict:
gradeList = studentDict[eachStudent]
avgGrade = m(gradeList)
print(eachStudent, 'Avg Grade is ... ', avgGrade)
from statistics import mean as m, stdev as s
#import statistics as s
exList = [8,4,6,12,48,125,122,4,58,7,1,2,68]
#print(s.mean(exList))
print('The mean is: ', m(exList))
print('The standard deviation is: ',s(exList))
import statistics as s
exList = [8,4,6,12,48,125,122,4,58,7,1,2,68]
print('The standard deviation is: ',s.mean(exList))
#from statistics import * from statistics import stdev as sd, mean as m example_list = [3, 5, 7, 8, 23, 2, 5, 3, 51, 52, 626, 62, 623] x = sd(example_list) print(x) x = m(example_list) print(x) ''' import statistics as s example_list = [3,5,7,8,23,2,5,3,51,52,626,62,623] x = s.mean(example_list) print(x) x = s.median(example_list) print(x) x = s.stdev(example_list) print(x) x = s.variance(example_list) print(x) '''
def avgGrade():
print('\nThe average grade of each student is: ')
for eachStudent in studentDict:
gradeList = studentDict[eachStudent]
avgGrade = m(gradeList)
print('Average grade of: ',eachStudent,' is: ',avgGrade)
def studentAVGs():
for eachStudent in studentDict:
gradeList = studentDict[eachStudent]
avgGrade = m(gradeList)
print(eachStudent,"has an average grade of",avgGrade)
print(studentDict)
def eleveMoy():
for chaqueEleve in eleveDict:
listeNote = eleveDict[chaqueEleve]
moyNotes = m(listeNote)
print(chaqueEleve,'a une moyenne de: ',moyNotes)
def eleveMoy():
for chaqueEleve in eleveDict:
listeNote = eleveDict[chaqueEleve]
moyNotes = m(listeNote)
print(chaqueEleve, 'a une moyenne de: ', moyNotes)
def median(data: List[int]) -> [int, float]:
return m(data)
def calculateAvgs():
for eachStudent in studentDic:
gradeList = studentDic[eachStudent]
avgGrade = m(gradeList)
print(eachStudent, 'Average Grade = ', avgGrade)
#Author: Manuel Garcia Lopez
#Modules import
import statistics as s #we can create an alias for each of our imports
#also we can import everything in another way
from statistics import *
#we can also just import the thing we want from the proper import
from statistics import mean
#we could even say the following using another alias
from statistics import stdev as st
#or just import several functions form one module in one single time with alias
from statistics import median as m, median_low as ml
sample_list = [1, 2, 3, 4, 5, 23, 56, 6, 7, 8, 9]
variance = s.variance(sample_list)
mean1 = mean(sample_list)
stdev1 = st(sample_list)
median = m(sample_list)
medianl = ml(sample_list)
print(variance)
print(mean1)
print(stdev1)
print(median)
print(medianl)
#Using our own modules
import ModulesCreation
ModulesCreation.ex('test')
list = [2, 3, 4, 5, 6, 8, 9, 8, 4] x = s.variance(list) #! or from statistics import variance list = [2, 3, 4, 5, 6, 8, 9, 8, 4] y = variance(list) #! or from statistics import variance as v list = [2, 3, 4, 5, 6, 8, 9, 8, 4] z = v(list) #! or from statistics import variance, mean list = [2, 3, 4, 5, 6, 8, 9, 8, 4] t = variance(list) m = mean(list) #! or from statistics import variance as v, mean as m list = [2, 3, 4, 5, 6, 8, 9, 8, 4] p = v(list) q = m(list) #! or from statistics import * list = [2, 3, 4, 5, 6, 8, 9, 8, 4] a = variance(list) b = mean(list)
def student_AVGs():
for eachStudent in gradeDict:
gradeList = gradeDict[eachStudent]
avgGrade = m(gradeList)
print(eachStudent, 'has an average grade of', avgGrade)
print('Hello ', name)
"""
##import statistics
##
##exList = [5,4,3,2,6,3]
##x = statistics.mean(exList)
##print(x)
##
##x = statistics.median(exList)
##print('median', x)
##
##x = statistics.mode(exList)
##print('mode', x)
##
##x = statistics.stdev(exList)
##print('stdev', x)
##
##x = statistics.variance(exList)
##print('variance', x)
#import syntax
# from statistics import mean as m, stdev as s
from statistics import mean as m
##import statistics as s
myList = [3, 4, 7, 8, 3, 1]
##print(s.mean(exList))
print('stat mean import syntx', m(myList))
# if you want all
# from statistics import *
def avgGrade():
for eachStudent in studentDict:
gradeList = studentDict[eachStudent]
average = round(m(gradeList), 2)
print(eachStudent, 'has an average grade of: ', average)
# import statistics # import statistics as s # from statistics import mean,stdev # from statistics import * from statistics import mean as m, stdev as s x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 9] # print(statistics.mean(x)) # print(s.mean(x)) # print(mean(x)) # print(stdev(x)) print(m(x)) print(s(x))
def studentAvg():
for eachStudent in studentDict:
gradeList = studentDict[eachStudent]
avgGrade = m(gradeList)
print(eachStudent,': ',avgGrade)
# -*- coding: utf-8 -*- """ Created on Thu Apr 14 14:39:31 2016 Objective: impoting module syntax @author: jatan.sharma """ example_list = [5, 2, 5, 6, 1, 2, 6, 7, 2, 6, 3, 5, 5] # Basic Importing import statistics print(statistics.mean(example_list)) # Sometimes, however, you will see people use the "as" statement in their imports. This will allow you to basically rename the module to whatever you want. People generally do this to shorten the name of the module. Matplotlib.pyplot is often imported as plt and numpy is often imported as np import statistics as s print(s.mean(example_list)) #You can just import each function within the module you plan to use from statistics import mean # so here, we've imported the mean function only. print(mean(example_list)) # and again we can do as from statistics import mean as m print(m(example_list)) from statistics import * print(mean(example_list))
def calcola_media(lista):
return m(lista)
def studentsAvgs(): for eachStudent in students: gradeList = students[eachStudent] avgGrade = m(gradeList) print(eachStudent, "has an average grade of:" , avgGrade)
def gradeAverage():
for student in studentDatabase:
gradeList = studentDatabase[student]
avg = m(gradeList)
print(student, "has a grade average of", avg)
def findStudentAverage():
print("finding student average")
for eachStudent in studentGrades:
gradeList = studentGrades[eachStudent]
average = m(gradeList)
print(eachStudent, "average is", average)
print(x) x = statistics.mode(exList) print(x) x = statistics.stdev(exList) print(x) print(statistics.variance(exList)) # other forms of import import statistics as s exList = [5, 2, 3, 1, 2, 3] print(s.mean(exList)) from statistics import mean print(mean(exList)) from statistics import mean as m print(m(exList)) from statistics import mean as m, stdev as s print(m(exList)) print(s(exList)) from statistics import * print(mean(exList)) print(stdev(exList))
def studentAVGs():
for eachStudent in studentDict:
gradeList = studentDict[eachStudent]
avgGrade = m(gradeList)
print(eachStudent,'has an average grade of:',avgGrade)
def studentAverages():
for eachStudent in studentDict:
gradelist = studentDict[eachStudent]
averageGrades = m(gradelist)
print(eachStudent,'has an average of grade is: ',averageGrades)
def StudentAverage():
for eachstudent in studentDict:
gradelist = studentDict[eachstudent]
avgGrade = m (gradelist)
print (eachstudent , 'has an average grade of :', gradelist)
def classify(self,features):
votes=[]
for i in self._classifiers:
v=i.classify(features)
votes.append(v)
return m(votes)
