def weight_category(self):
function2.Determinator().createTemporaryFile('Weight_category')
for i in index.data['Weight']:
if i < 120:
function2.Determinator().writeToFile('1')
elif i >= 150:
function2.Determinator().writeToFile('3')
else:
function2.Determinator().writeToFile('2')
def getMinFunc2(self):
function2.Determinator().createTemporaryFile('val')
for b in range(-5, 5):
for a in range(-100, 100):
p = Calculator().getMinFunc(a, b)
function2.Determinator.writeToFile(p)
data = pandas.read_csv('temporary.csv')
return min(data['val'].values)
def getMin(self):
func = function2.Determinator()
func.createTemporaryFile('w1opt' + ',' + 'error')
for i in range(1, 25000):
w1 = (50 - index.data['Height'].loc[i])/index.data['Weight'].loc[i]
if float(-5) < round(w1, 1) < float(5):
error = Calculator().getSquareError(50, w1)
func.writeToFile(str(w1) + ',' + str(error))
values = pandas.read_csv('temporary.csv')
values = pandas.DataFrame({'w1opt': values['w1opt'].values,
'error': values['error'].values})
for j in range(1, 25000):
if values['error'].loc[j] == min(values['error']):
return values['w1opt'].loc[j]
def getChart2(self):
func = function2.Determinator()
func.createTemporaryFile('w1')
for i in range(1, 25000):
w1 = numpy.array(random.random())
func.writeToFile(w1)
values = pandas.read_csv('temporary.csv')
values = pandas.DataFrame({'w1': values['w1'].values})
func.createTemporaryFile('values1')
for i in range(1, 25000):
w1 = values['w1'].loc[i]
val = Calculator().getSquareError(50, w1)
func.writeToFile(val)
values1 = pandas.read_csv('temporary.csv')
values1 = pandas.DataFrame(values1).values
plt.plot(values['w1'].values, values1)
plt.xlabel(r'$w1$')
plt.ylabel(r'$Error\ amount$')
plt.title(r'$Error\ curve$')
plt.grid(True)
plt.show()
import data
import math
import pandas
import function2
# compute and save BMI
func = function2.Determinator()
func.createTemporaryFile('BMI')
for i in range(0, 25000):
BMI = round(0.453*data.data['weight'].loc[i]/\
math.sqrt(data.data['height'].loc[i]*0.025), 5)
func.writeToFile(BMI)
# create common dataframe with BMI
data_BMI = pandas.read_csv('temporary.csv')
data = pandas.DataFrame({
'BMI': data_BMI['BMI'].values,
'Height': data.data['height'].values,
'Weight': data.data['weight'].values
})
# min and max BMI
function2.Determinator().maxAndMin(data['BMI'], 'BMI')
import pandas
import function2
# read data and create dataframe
data = pandas.read_excel('weights_heights.csv')
data = pandas.DataFrame({
"height": data['Height'].values,
"weight": data['Weight'].values
})
# min and max height and weight
function2.Determinator().maxAndMin(data['height'], 'height')
function2.Determinator().maxAndMin(data['weight'], 'weight')