Обучение визуализации с использованием python, так что это может быть просто базовое решение c, но я построил гистограмму, используя приведенный ниже код, который работает:
import matplotlib.pyplot as plt
import pandas as pd
data = pd.read_csv("drinks.csv")
data = data.head(195)
continent = data["continent"].unique()
continent_sums = data.groupby(data["continent"])["total_litres_of_pure_alcohol"].sum()
plt.bar(continent,continent_sums,color = ["Red","Orange","Yellow","Green","Cyan","Blue"])
plt.xlabel("Continent",color="purple")
plt.ylabel("T_Alcohol (Litres)",color="blue")
plt.title("TBD",color="green")
plt.tight_layout(pad=-5)
plt.show()
Но потом я заметил, что метки (считываемые из файла) назначаются на неправильную полосу, когда я проверяю, используя тот же файл данных в Excel.
По наблюдениям, похоже, что Excel сортирует метки континентов, так что я думаю, что это то, что мне нужно сделать и в python? Что мне нужно сделать или изменить, чтобы исправить это маленькое препятствие и убедиться, что столбец соответствует правильному континенту из файла?
Данные, использованные для этого сообщения:
df = pd.read_json( '{"country":{"0":"Afghanistan","1":"Albania","2":"Algeria","3":"Andorra","4":"Angola","5":"Antigua & Barbuda","6":"Argentina","7":"Armenia","8":"Australia","9":"Austria","10":"Azerbaijan","11":"Bahamas","12":"Bahrain","13":"Bangladesh","14":"Barbados","15":"Belarus","16":"Belgium","17":"Belize","18":"Benin","19":"Bhutan","20":"Bolivia","21":"Bosnia-Herzegovina","22":"Botswana","23":"Brazil","24":"Brunei","25":"Bulgaria","26":"Burkina Faso","27":"Burundi","28":"Cote d\'Ivoire","29":"Cabo Verde","30":"Cambodia","31":"Cameroon","32":"Canada","33":"Central African Republic","34":"Chad","35":"Chile","36":"China","37":"Colombia","38":"Comoros","39":"Congo","40":"Cook Islands","41":"Costa Rica","42":"Croatia","43":"Cuba","44":"Cyprus","45":"Czech Republic","46":"North Korea","47":"DR Congo","48":"Denmark","49":"Djibouti","50":"Dominica","51":"Dominican Republic","52":"Ecuador","53":"Egypt","54":"El Salvador","55":"Equatorial 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