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from pyecharts . charts import Bar
from pyecharts import options as opts
import pandas as pd
def process_data ( raw_data ) :
"""
数据处理流程：
1. 转换为DataFrame
2. 过滤无效行政区
3. 按上传量降序排序
4. 取前10条记录
"""
df = pd . DataFrame ( raw_data )
# 过滤空值（ ）
df = df [ ( df [ ' 行政区划名称 ' ] . notna ( ) ) & ( df [ ' 行政区划名称 ' ] != ' ' ) ]
# 按上传量排序并保留前10
return df . sort_values ( ' 上传课程数量 ' , ascending = False ) . head ( 10 )
def create_horizontal_barchart ( data ) :
# 提取数据
schools = data [ ' 学校名称 ' ] . tolist ( )
counts = data [ ' 上传课程数量 ' ] . tolist ( )
# 创建图表对象
bar = Bar ( init_opts = opts . InitOpts ( width = ' 1200px ' , height = ' 600px ' ) )
# 添加数据（横向柱状图需要反转坐标系）
bar . add_xaxis ( counts )
bar . add_yaxis (
series_name = " 上传数量 " ,
y_axis = schools ,
itemstyle_opts = opts . ItemStyleOpts ( color = " #5470c6 " ) ,
label_opts = opts . LabelOpts (
position = " right " ,
formatter = " {b} : {c} "
)
)
# 配置图表选项
bar . set_global_opts (
title_opts = opts . TitleOpts (
title = " 课程资源上传量TOP10学校排名 "
#subtitle="数据来源：课程资源管理系统"
) ,
tooltip_opts = opts . TooltipOpts (
formatter = opts . TooltipItemOptsFormatter (
# 显示学校、行政区和数量
" 行政区： {a} <br/> "
" 上传量：<b> {c} </b> "
)
) ,
yaxis_opts = opts . AxisOpts (
name = " 学校名称 " ,
axislabel_opts = opts . LabelOpts (
font_size = 12 ,
formatter = lambda name : name [ : 6 ] + " ... " if len ( name ) > 6 else name
)
) ,
xaxis_opts = opts . AxisOpts ( name = " 上传数量（件） " ) ,
datazoom_opts = [ opts . DataZoomOpts ( type_ = " inside " ) ] ,
)
# 反转坐标系实现横向显示
# bar.reversal_axis()
return bar
