Ⅰ.数据
![python绘制动态条形图排行榜_第1张图片](http://img.e-com-net.com/image/info8/08a6a064d7a84843872a2a7eb810853e.jpg)
Ⅱ.动态条形图排行榜(样式一)
![python绘制动态条形图排行榜_第2张图片](http://img.e-com-net.com/image/info8/f8c7b4919e854ed3b2dd480c170eaa60.gif)
Ⅲ.python程序(一)
import pandas as pd
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.charts import Timeline
data=pd.read_excel('地区生产总值(亿元).xlsx',sheet_name='Sheet1',index_col=0)
x=list(data.columns)
y=data.values
year=list(data.index)
timeline=Timeline()
for i in range(len(data)):
xy=list(zip(x,y[i]))
xy.sort(key=lambda x:x[1],reverse=False)
xy=xy[-10:]
bar=(
Bar()
.add_xaxis(xaxis_data=[i[0] for i in xy])
.add_yaxis(series_name=str(2002+i)+'年地区生产总值',y_axis=[i[1] for i in xy])
.reversal_axis()
.set_global_opts(title_opts=opts.TitleOpts(title='地区生产总值排行榜(%s年)'%(2002+i),subtitle='单位:亿元',pos_left='center',pos_top='top'),
legend_opts=opts.LegendOpts(is_show=False),
visualmap_opts=opts.VisualMapOpts(
is_show=True,pos_top='center',range_color=['lightskyblue','yellow','orangered'],min_=0,max_=10)
)
.set_series_opts(label_opts=opts.LabelOpts(is_show=True,position='right',color='red'))
)
timeline.add(bar,year[i]).add_schema(is_auto_play=True)
timeline.render('地区生产总值排行榜.html')
Ⅳ.动态条形图排行榜(样式二)
![python绘制动态条形图排行榜_第3张图片](http://img.e-com-net.com/image/info8/ae872ff7813a4f4cbcad253a94086bc3.gif)
Ⅴ.python程序(二)
import pandas as pd
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.charts import Timeline
import random
data=pd.read_excel('地区生产总值(亿元).xlsx',sheet_name='Sheet1',index_col=0)
x=list(data.columns)
y=data.values
year=list(data.index)
get_colors=lambda n:list(map(lambda i:"#"+"%06x"%random.randint(0,0xFFFFFF),range(len(x))))
one_color=get_colors(len(x))
timeline=Timeline()
for i in range(len(data)):
xy=list(zip(x,y[i],one_color))
xy.sort(key=lambda x:x[1],reverse=False)
xy=xy[-10:]
bar=(
Bar()
.add_xaxis(xaxis_data=[i[0] for i in xy])
.add_yaxis(series_name=str(2002+i)+'年地区生产总值',y_axis=[i[1] for i in xy],color=[i[2] for i in xy])
.reversal_axis()
.set_global_opts(title_opts=opts.TitleOpts(title='地区生产总值排行榜(%s年)'%(2002+i),subtitle='单位:亿元',pos_left='center',pos_top='top'),
legend_opts=opts.LegendOpts(is_show=False),
visualmap_opts=opts.VisualMapOpts(is_show=False,range_color=[i[2] for i in xy],min_=0,max_=10))
.set_series_opts(label_opts=opts.LabelOpts(is_show=True,position='right',color='red'))
)
timeline.add(bar,year[i]).add_schema(is_auto_play=True)
timeline.render('地区生产总值排行榜.html')