def getTopMoviesPublicRating(request):
df = getData()
topMovies = df.nlargest(15, ['PublicRating'])
br = sns.barplot(y='MovieName', x='PublicRating', data=topMovies)
br.set_yticklabels(br.get_yticklabels(), fontsize=7)
mediapath = settings.MEDIA_ROOT
figure = br.get_figure()
figure.savefig(mediapath + "/chart1.png")
return render(request, "dashboard/index.html",
{"PATH": settings.MEDIA_URL})
def getTopMoviesGross(request):
df = getData()
topMovies = df.nlargest(15, ['GrossMillions'])
gr = sns.barplot(y='MovieName', x='GrossMillions', data=topMovies)
gr.set_yticklabels(gr.get_yticklabels(), fontsize=7)
mediapath = settings.MEDIA_ROOT
figure = gr.get_figure()
figure.savefig(mediapath + "/chart1.png")
plt.clf()
return render(request, "dashboard/index.html",
{"PATH": settings.MEDIA_URL})
def getCountMoviesYear(request):
df = getData()
df = df.loc[df['PublicRating'] > 0]
df = df.loc[df['CriticRating'] > 0]
gr = sns.countplot(y='Year', data=df)
gr.set_yticklabels(gr.get_yticklabels(), fontsize=7)
gr.set_title("Number of Movies that were rated by critics and public")
mediapath = settings.MEDIA_ROOT
figure = gr.get_figure()
figure.savefig(mediapath + "/chart1.png")
plt.clf()
return render(request, "dashboard/index.html",
{"PATH": settings.MEDIA_URL})
def getPublicRatingVsCriticRating(request):
df = getData()
data = df.loc[df['CriticRating'] > -1]
data = data.loc[df['PublicRating'] > 0]
gr = sns.jointplot(data=data, x='PublicRating', y='CriticRating')
mediapath = settings.MEDIA_ROOT
gr.savefig(mediapath + "/chart1.png")
factlist = [1, 2, 3, 4, 5]
plt.clf()
return render(request, "dashboard/index.html", {
"PATH": settings.MEDIA_URL,
"factlist": factlist
})
def getRuntimevsGross(request):
df = getData()
data = df.loc[df.GrossMillions > 0]
data = data.loc[data.PublicRating > 0]
gr = sns.jointplot(data=data, x='PublicRating', y='Runtime')
buf = io.BytesIO()
mediapath = settings.MEDIA_ROOT
gr.savefig(mediapath + "/chart1.png")
plt.clf()
factlist = [1, 2, 3, 4, 5]
return render(request, "dashboard/index.html", {
"PATH": settings.MEDIA_URL,
"factlist": factlist
})
def getPublicRatingGenre(request):
df = getData()
df = df.groupby('Genre').mean()
df = df.nlargest(10, 'PublicRating')
return render(request, "dashboard/index.html",
{"PATH": settings.MEDIA_URL})