From 23a6299d5ac9190cc32dcae076c093fa6201cc5c Mon Sep 17 00:00:00 2001
From: pn2yfabhg <1249144594@qq.com>
Date: Sat, 8 Jun 2024 17:07:36 +0800
Subject: [PATCH] ADD file via upload

---
 app.py | 48 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 48 insertions(+)
 create mode 100644 app.py

diff --git a/app.py b/app.py
new file mode 100644
index 0000000..755003a
--- /dev/null
+++ b/app.py
@@ -0,0 +1,48 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+from pyecharts.charts import Bar,Scatter,Pie
+from pyecharts import options as opts
+from pyecharts.charts import Scatter3D
+
+from pyecharts.charts import WordCloud
+from pyecharts.globals import SymbolType
+from pyecharts.charts import Timeline
+
+df =pd.read_csv('flaskProject/data/export.csv')
+def tubiao_country_bar():
+    country_counts = df['country'].value_counts().head(10)
+    bar=(
+        Bar()
+        .add_xaxis(country_counts.index.tolist())
+        .add_yaxis("电影数量",country_counts.tolist())
+        .set_global_opts(title_opts=opts.TitleOpts("按国家分组统计电影数量 Top 10"))
+    )
+    bar.render('country_movie_count.html')
+
+def tubiao_top10_reviews():
+    top10_reviews=df.nlargest(10,'num_reviews')
+    bar=(
+        Bar()
+        .add_xaxis(top10_reviews['title'].tolist())
+        .add_yaxis("评价人数",top10_reviews['num_reviews'].tolist())
+        .set_global_opts(title_opts=opts.TitleOpts(title="评价人数 Top 10"))
+    )
+    bar.render('top10reviews.html')
+
+    scatter=(
+        Scatter()
+        .add_xaxis(df['ranking'].tolist())
+        .add_yaxis('电影评分',df['rating'].tolist())
+        .set_global_opts(
+            title_opts=opts.TitleOpts(title="高分电影评分-排名散点分布图"),
+            xaxis_opts=opts.AxisOpts(type_='value',name="电影排名"),
+            yaxis_opts=opts.AxisOpts(type_='value', name="电影评分")
+        )
+    )
+    scatter.render("rating_ranting_scatter.html")
+
+
+
+
+tubiao_country_bar()
+tubiao_top10_reviews()
\ No newline at end of file