def get_data_charts_obesity():
try:
class_name = request.args.get("className")
# class_name = "Dataset"
r = API.get_class(class_name)
arr = str(r.data, "utf-8")
r_json = json.loads(arr)
data = r_json["results"]
df = pd.DataFrame(data)
columns = list(df.columns)[4:]
columns.remove("weight")
for i in range(len(df)):
for column in list(columns):
try:
df[column][i] = int(round(df[column][i]))
except:
df[column][i] = str(df[column][i])
data_FAVC = DATA.get_data_chart(df, "FAVC")
data_gender = DATA.get_data_chart(df, "gender")
data_NCP = DATA.get_data_chart(df, "NCP")
data_FHWO = DATA.get_data_chart(df, "FHWO")
data_CAEC = DATA.get_data_chart(df, "CAEC")
data_CH2O = DATA.get_data_chart(df, "CH2O")
data_SMOKE = DATA.get_data_chart(df, "SMOKE")
data_FCVC = DATA.get_data_chart(df, "FCVC")
data_SCC = DATA.get_data_chart(df, "SCC")
data_FAF = DATA.get_data_chart(df, "FAF")
data_TUE = DATA.get_data_chart(df, "TUE")
data_CALC = DATA.get_data_chart(df, "CALC")
data_MTRANS = DATA.get_data_chart(df, "MTRANS")
data_NObeyesdad = DATA.get_data_chart(df, "NObeyesdad")
df1 = df.sort_values(by=["weight"],
ascending=True).reset_index(drop=True)
weight_values = {
"duoi_40": [],
"duoi_50": [],
"duoi_60": [],
"duoi_70": [],
"duoi_80": [],
"duoi_90": [],
"duoi_100": [],
"tren_100": [],
}
for i in range(len(df1)):
if float(df1["weight"][i]) < 40:
weight_values["duoi_40"].append(float(df1["height"][i]))
elif (float(df1["weight"][i]) >= 40) and (float(df1["weight"][i]) <
50):
weight_values["duoi_50"].append(float(df1["height"][i]))
elif (float(df1["weight"][i]) >= 50) and (float(df1["weight"][i]) <
60):
weight_values["duoi_60"].append(float(df1["height"][i]))
elif (float(df1["weight"][i]) >= 60) and (float(df1["weight"][i]) <
70):
weight_values["duoi_70"].append(float(df1["height"][i]))
elif (float(df1["weight"][i]) >= 70) and (float(df1["weight"][i]) <
80):
weight_values["duoi_80"].append(float(df1["height"][i]))
elif (float(df1["weight"][i]) >= 80) and (float(df1["weight"][i]) <
90):
weight_values["duoi_90"].append(float(df1["height"][i]))
elif (float(df1["weight"][i]) >= 90) and (float(df1["weight"][i]) <
100):
weight_values["duoi_100"].append(float(df1["height"][i]))
elif float(df1["weight"][i]) >= 100:
weight_values["tren_100"].append(float(df1["height"][i]))
data_height_weight = [
{
"name": "Ít hơn 40 kg",
"value": DATA.trung_binh(weight_values["duoi_40"]),
},
{
"name": "Từ 40 - 50 kg",
"value": DATA.trung_binh(weight_values["duoi_50"]),
},
{
"name": "Từ 50 - 60 kg",
"value": DATA.trung_binh(weight_values["duoi_60"]),
},
{
"name": "Từ 60 - 70 kg",
"value": DATA.trung_binh(weight_values["duoi_70"]),
},
{
"name": "Từ 70 - 80 kg",
"value": DATA.trung_binh(weight_values["duoi_80"]),
},
{
"name": "Từ 80 - 90 kg",
"value": DATA.trung_binh(weight_values["duoi_90"]),
},
{
"name": "Từ 90 - 100 kg",
"value": DATA.trung_binh(weight_values["duoi_100"]),
},
{
"name": "Trên 100 kg",
"value": DATA.trung_binh(weight_values["tren_100"]),
},
]
data_age = [
{
"name": "Dưới 20 tuổi",
"value": 0
},
{
"name": "Từ 20 - dưới 30 tuổi",
"value": 0
},
{
"name": "Từ 30 - dưới 40 tuổi",
"value": 0
},
{
"name": "Từ 40 - dưới 50 tuổi",
"value": 0
},
{
"name": "Từ 50 - dưới 60 tuổi",
"value": 0
},
{
"name": "Từ 60 trở lên",
"value": 0
},
]
data_result = {
"chart_gender": data_gender,
"chart_FAVC": data_FAVC,
"chart_NCP": data_NCP,
"chart_FHWO": data_FHWO,
"chart_CAEC": data_CAEC,
"chart_CH2O": data_CH2O,
"chart_SMOKE": data_SMOKE,
"chart_FCVC": data_FCVC,
"chart_SCC": data_SCC,
"chart_FAF": data_FAF,
"chart_TUE": data_TUE,
"chart_CALC": data_CALC,
"chart_MTRANS": data_MTRANS,
"chart_age": data_age,
"chart_obesity": data_NObeyesdad,
}
# data_result = json.dumps(data_result)
return data_result
except:
print("[Error] (getDataModels function app.py)")
return "[Error] BAD REQUEST can't get datamodel"
def get_data_charts():
try:
class_name = request.args.get("className")
r = API.get_class(class_name)
arr = str(r.data, "utf-8")
r_json = json.loads(arr)
data = r_json["results"]
df = pd.DataFrame(data)
data_mealOfTheDay = DATA.get_data_chart(df, "mealOfTheDay")
data_breakfastOfTheWeek = DATA.get_data_chart(df, "breakfastOfTheWeek")
data_dinnerOfTheWeek = DATA.get_data_chart(df, "dinnerOfTheWeek")
data_fastfoodOfTheWeek = DATA.get_data_chart(df, "fastFoodOfTheWeek")
data_vegetableInMeal = DATA.get_data_chart(df, "vegetableInMeal")
data_proteinOfMeal = DATA.get_data_chart(df, "proteinOfMeal")
data_waterOfTheDay = DATA.get_data_chart(df, "waterOfTheDay")
data_timeDoExcerciseForWeek = DATA.get_data_chart(
df, "timeDoExcerciseForWeek")
data_sportTimeForWeek = DATA.get_data_chart(df, "sportTimeForWeek")
data_alcohol = DATA.get_data_chart(df, "alcohol")
data_nicotine = DATA.get_data_chart(df, "nicotine")
data_requireOfJob = DATA.get_data_chart(df, "requireOfJob")
data_park = DATA.get_data_chart(df, "park")
data_depression = DATA.get_data_chart(df, "depression")
data_result = {
"chart_meal_of_theday": data_mealOfTheDay,
"chart_breakfast_of_theweek": data_breakfastOfTheWeek,
"chart_dinner_of_theweek": data_dinnerOfTheWeek,
"chart_fastfood_of_theweek": data_fastfoodOfTheWeek,
"chart_vegetable_in_meal": data_vegetableInMeal,
"chart_protein_of_meal": data_proteinOfMeal,
"chart_water_of_the_day": data_waterOfTheDay,
"chart_time_doexcercise_for_week": data_timeDoExcerciseForWeek,
"chart_sporttime_for_week": data_sportTimeForWeek,
"chart_alcohol": data_alcohol,
"chart_nicotine": data_nicotine,
"chart_requireOfJob": data_requireOfJob,
"chart_park": data_park,
"chart_depression": data_depression,
}
# data_result = json.dumps(data_result)
return data_result
except:
print("[Error] (getDataModels function app.py)")
return "[Error] BAD REQUEST can't get datamodel"
