大学排名.gif (738.33 KB, 下载次数: 3)
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2.根据采集的数据分析了全球QS大学前两百的大学数据，获取了数据可视化，新手学习Python，希望大家多指教一下。
3.代码展示
[Python] 纯文本查看 复制代码import pandas as pd
from pyecharts.charts import Funnel,Pie,Timeline
from pyecharts import options as opts
import os
list = []
listfile = os.listdir(r"./data/")
t1 = Timeline()
for i in listfile:
df = pd.read_csv(r'./data/'+i,encoding='utf-8',index_col=0)
list.append(df)
Score_Data = pd.concat([df["University"], df["Rank"]], axis=1)
Rank = Score_Data.sort_values("Rank",ascending=True)[:10]
funnel = (Funnel()
.add("", [z for z in zip(Rank["University"].tolist(), Rank["Rank"].tolist())],
sort_='descending',
label_opts=opts.LabelOpts(position="inside"))
.set_global_opts(title_opts=opts.TitleOpts(title="大学排名(日期：{})".format(i[-8:-4]), pos_bottom=True))
)
t1.add(funnel,"{}".format(i[-8:-4]))
t1.render("university.html")
t2 = Timeline()
for i in listfile:
df = pd.read_csv(r'./data/'+i,encoding='utf-8',index_col=0)
list.append(df)
classfy_Country = df.groupby(df["Country"])
group_Country = classfy_Country.size().sort_values(ascending=False)
pie = (Pie()
.add('', [z for z in zip(group_Country.keys(), group_Country.tolist())],
radius=["30%", "75%"],
rosetype="radius")
.set_global_opts(title_opts=opts.TitleOpts(title="地区分布(日期：{})".format(i[-8:-4]), pos_bottom=True))
.set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {d}%"))
)
t2.add(pie, "{}".format(i[-8:-4]))
t2.render("region.html")
Gather = pd.concat(list,ignore_index=True)
Gather.to_csv("Gather.csv")
