QS世界排名前200的大學(xué)都在哪里？Python動(dòng)態(tài)圖告訴你！
今日表情 ?? ：
世界上較為主流的大學(xué)排名有美國(guó)U.S. News世界大學(xué)排名、英國(guó)QS世界大學(xué)排名、英國(guó)泰晤士高等教育世界大學(xué)排名，以及學(xué)術(shù)類(lèi)排名如世界大學(xué)自然指數(shù)排名、中國(guó)軟科世界大學(xué)學(xué)術(shù)排名等。
我們選用的是6月份公布的2021年度英國(guó)QS世界大學(xué)排名。
QS通過(guò)如下6個(gè)指標(biāo)對(duì)各大學(xué)進(jìn)行評(píng)估：
學(xué)術(shù)聲譽(yù)（40%）
雇主聲譽(yù)（10%）
師生比（20%）
每名教師的引用率（20%）
國(guó)際教師比例（5%）
留學(xué)生比例（5%）
按照這個(gè)評(píng)估標(biāo)準(zhǔn)，中國(guó)共有14所大學(xué)排進(jìn)前200名，分別是：
15 清華大學(xué)(中國(guó))
22 香港大學(xué)(中國(guó)香港)
23 北京大學(xué)(中國(guó))
27 香港科技大學(xué)(中國(guó)香港)
34 復(fù)旦大學(xué)(中國(guó))
43 香港中文大學(xué)(中國(guó)香港)
47 上海交通大學(xué)(中國(guó))
48 香港城市大學(xué)(中國(guó)香港)
53 浙江大學(xué)(中國(guó))
67 臺(tái)灣大學(xué)(中國(guó)臺(tái)灣)
75 香港理工大學(xué)(中國(guó)香港)
94 中國(guó)科學(xué)技術(shù)大學(xué)(中國(guó))
126 南京大學(xué)(中國(guó))
168 國(guó)立清華大學(xué)(中國(guó)臺(tái)灣)
那么，QS排名前200名的這些世界頂級(jí)大學(xué)都在哪里呢？我們用Python動(dòng)態(tài)圖來(lái)盤(pán)點(diǎn)一下吧！
先上圖片
再上視頻
最后上代碼
import numpy as np
import pandas as pd
import geopandas as gpd
import shapely
from shapely import geometry as geo
from shapely import wkt
import geopandas as gpd
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import contextily as ctx
import imageio
import os
from PIL import Image
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
plt.rcParams['animation.writer'] = 'html'
plt.rcParams['animation.embed_limit'] = 100
def rgba_to_rgb(img_rgba):
img_rgb = Image.new("RGB", img_rgba.size, (255, 255, 255))
img_rgb.paste(img_rgba, mask=img_rgba.split()[3])
return img_rgb
def html_to_gif(html_file, gif_file, duration=0.5):
path = html_file.replace(".html","_frames")
images = [os.path.join(path,x) for x in sorted(os.listdir(path))]
frames = [imageio.imread(x) for x in images]
if frames[0].shape[-1]==4:
frames = [np.array(rgba_to_rgb(Image.fromarray(x))) for x in frames]
imageio.mimsave(gif_file, frames, 'gif', duration=duration)
return gif_file
cmap = [
'#2E91E5',
'#1CA71C',
'#DA16FF',
'#B68100',
'#EB663B',
'#00A08B',
'#FC0080',
'#6C7C32',
'#862A16',
'#620042',
'#DA60CA',
'#0D2A63']*100
def getCoords(geom):
if isinstance(geom,geo.MultiPolygon):
return [np.array(g.exterior) for g in geom.geoms]
elif isinstance(geom,geo.Polygon):
return [np.array(geom.exterior)]
elif isinstance(geom,geo.LineString):
return [np.array(geom)]
elif isinstance(geom,geo.MultiLineString):
return [np.array(x) for x in list(geom.geoms)]
else:
raise Exception("geom must be one of [polygon,MultiPolygon,LineString,MultiLineString]!")
#底圖數(shù)據(jù)
dfcoutries = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres')).set_crs("epsg:4326")
#散點(diǎn)數(shù)據(jù)
dfpoints = gpd.read_file("./data/QS世界大學(xué)排名前200.geojson")
df = pd.DataFrame({"x":[pt.x for pt in dfpoints["geometry"]],
"y": [pt.y for pt in dfpoints["geometry"]]})
df["z"] = 1.0
df.index = dfpoints["name"].values
def bubble_map_dance(df,title = "QS世界排名前200大學(xué)分布",
filename = None,
figsize = (8,6),dpi = 144,
duration = 0.5,
anotate_points = []):
fig, ax_base =plt.subplots(figsize=figsize,dpi=dpi)
def plot_frame(i):
ax_base.clear()
#============================================================
#繪制底圖
#============================================================
dfcoutries.plot(ax=ax_base,color='white',edgecolor='gray',alpha = 0.5)
#設(shè)置繪圖范圍
ax_base.set_xlim(-198.0, 198.00000000000009)
ax_base.set_ylim(-98.68225649999998, 92.3273865)
ax_base.axis("off")
#============================================================
#繪制散點(diǎn)
#============================================================
k = i//3+1
m = i%3
text = "NO."+str(len(df)+1-k)
dfdata = df.iloc[:k,:].copy()
dftmp = df.iloc[:k-1,:].copy()
# 繪制散點(diǎn)圖像
if len(dftmp)>0:
ax_base.scatter(dftmp["x"],dftmp["y"],s = 40*dftmp["z"]/df["z"].mean(),
c = (cmap*100)[0:len(dftmp)],alpha = 0.4,zorder = 3)
# 添加注釋文字
for i,p in enumerate(dftmp.index):
px,py,pz = dftmp.loc[p,["x","y","z"]].tolist()
if p in anotate_points:
ax_base.annotate(p,xy = (px,py), xycoords = "data",xytext = (-15,10),
fontsize = 10,fontweight = "bold",color = cmap[i], textcoords = "offset points")
# 添加標(biāo)題和排名序號(hào)
ax_base.set_title(title,color = "black",fontsize = 12)
#ax_base.text(0.5, 0.95, title, va="center", ha="center",
# size = 12,transform = ax_base.transAxes)
ax_base.text(0.17, 0.3, text, va="center", ha="center",
alpha=0.4, size = 40,transform = ax_base.transAxes)
# 添加注意力動(dòng)畫(huà)
if m==0:
px,py,pz = dfdata["x"][[-1]],dfdata["y"][[-1]],dfdata["z"][-1]
p = dfdata.index[-1]
ax_base.scatter(px,py,s = 200*pz/df["z"].mean(),
c = cmap[len(dfdata)-1:len(dfdata)],alpha = 0.4,zorder = 4)
ax_base.annotate(p,xy = (px,py), xycoords = "data",
xytext = (-15,10),fontsize = 15,fontweight = "bold",
color = cmap[k-1], textcoords = "offset points",zorder = 5)
if m==1:
px,py,pz = dfdata["x"][[-1]],dfdata["y"][[-1]],dfdata["z"][-1]
p = dfdata.index[-1]
ax_base.scatter(px,py,s = 100*pz/df["z"].mean(),
c = cmap[len(dfdata)-1:len(dfdata)],alpha = 0.4,zorder = 4)
ax_base.annotate(p,xy = (px,py), xycoords = "data",
xytext = (-15,10),fontsize = 12,fontweight = "bold",
color = cmap[k-1], textcoords = "offset points",zorder = 5)
if m==2:
px,py,pz = dfdata["x"][[-1]],dfdata["y"][[-1]],dfdata["z"][-1]
p = dfdata.index[-1]
ax_base.scatter(px,py,s = 40*pz/df["z"].mean(),
c = cmap[len(dfdata)-1:len(dfdata)],alpha = 0.4,zorder = 4)
ax_base.annotate(p,xy = (px,py), xycoords = "data",
xytext = (-15,10),fontsize = 9,fontweight = "bold",
color = cmap[k-1], textcoords = "offset points",zorder = 5)
my_animation = animation.FuncAnimation(fig,plot_frame,frames = range(0,3*len(df)),interval = int(duration*1000))
if filename is None:
try:
from IPython.display import HTML
HTML(my_animation.to_jshtml())
return HTML(my_animation.to_jshtml())
except ImportError:
pass
else:
my_animation.save(filename)
return filename
html_file = "QS世界排名前200大學(xué)分布.html"
bubble_map_dance(df,filename = html_file)
gif_file = html_file.replace(".html",".gif")
html_to_gif(html_file,gif_file,duration=0.5)
收工。??
萬(wàn)水千山總是情，點(diǎn)個(gè)在看行不行？??
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