我有一個(gè)視頻游戲銷售數(shù)據(jù)，我能夠按年份繪制視頻游戲銷售圖表，但是我想做一個(gè)堆積圖表，這意味著人們會知道在某一年動(dòng)作游戲銷售多少射擊游戲銷售策略游戲銷售等您的幫助將不勝感激按年份劃分的銷售額樣本數(shù)據(jù)：,Year,Genre,Global_Sales0,2006.0,Sports,82.741,1985.0,Platform,40.242,2008.0,Racing,35.823,2009.0,Sports,33.04,1996.0,Role-Playing,31.375,1989.0,Puzzle,30.266,2006.0,Platform,30.017,2006.0,Misc,29.028,2009.0,Platform,28.629,1984.0,Shooter,28.3110,2005.0,Simulation,24.7611,2005.0,Racing,23.4212,1999.0,Role-Playing,23.113,2007.0,Sports,22.7214,2009.0,Sports,22.015,2010.0,Misc,21.8216,2013.0,Action,21.417,2004.0,Action,20.8118,1990.0,Platform,20.6119,2005.0,Misc,20.22import matplotlib.pyplot as pltimport pandas as pdimport numpy as npdf = pd.read_csv('vgsales.csv')df.dropna(subset = ['Year'], inplace=True)df['Year']=df['Year'].astype(int)df['Year']= df['Year'].astype(str)df.set_index(['Year'],inplace=True)df = df.groupby(['Year']).agg({'Global_Sales':np.sum}) #gives sales for each year# df= df.groupby(['Year','Genre']).agg({'Global_Sales':np.sum}) # gives sales by each genre?# gf = df.groupby('Genre')# df.reset_index(inplace=True)# df.sort_values(df.index, inplace=True)# plt.bar(df.index.get_level_values(0), df['Global_Sales'])lab = df.index.get_level_values(0)y = df['Global_Sales']x = np.arange(len(lab))plt.figure(figsize=(10,10))plt.bar(x,y)plt.title('Video Game Sales in Past Years', fontsize=20)plt.xlabel('Years')plt.ylabel('Sales (Millions)')plt.xticks(x, lab, rotation = 'vertical')plt.show()