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"""
数据可视化组件
"""
from PyQt5.QtWidgets import (
QWidget, QVBoxLayout, QHBoxLayout, QLabel, QSpinBox,
QPushButton, QComboBox
)
from PyQt5.QtCore import Qt
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
from frontend.utils.api_client import APIClient
# 设置中文字体
plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei']
plt.rcParams['axes.unicode_minus'] = False
class VisualizationWidget(QWidget):
"""数据可视化界面"""
def __init__(self, api_client: APIClient, parent=None):
super().__init__(parent)
self.api_client = api_client
self.init_ui()
self.load_ranking()
def init_ui(self):
"""初始化界面"""
layout = QVBoxLayout()
# 标题
title = QLabel("积分排名可视化")
title.setStyleSheet("font-size: 18px; font-weight: bold; margin: 10px;")
layout.addWidget(title)
# 控制栏
control_layout = QHBoxLayout()
control_layout.addWidget(QLabel("显示前"))
self.top_n_spin = QSpinBox()
self.top_n_spin.setRange(5, 50)
self.top_n_spin.setValue(10)
control_layout.addWidget(self.top_n_spin)
control_layout.addWidget(QLabel(""))
self.chart_type_combo = QComboBox()
self.chart_type_combo.addItems(["柱形图", "折线图"])
control_layout.addWidget(self.chart_type_combo)
self.refresh_btn = QPushButton("刷新")
self.refresh_btn.clicked.connect(self.load_ranking)
control_layout.addWidget(self.refresh_btn)
control_layout.addStretch()
layout.addLayout(control_layout)
# 图表区域
self.figure = Figure(figsize=(10, 6))
self.canvas = FigureCanvas(self.figure)
layout.addWidget(self.canvas)
self.setLayout(layout)
def load_ranking(self):
"""加载排名数据并绘制图表"""
try:
top_n = self.top_n_spin.value()
data = self.api_client.get_ranking(top_n=top_n)
if not data['rankings']:
self.figure.clear()
ax = self.figure.add_subplot(111)
ax.text(0.5, 0.5, '暂无数据', ha='center', va='center', fontsize=16)
self.canvas.draw()
return
rankings = data['rankings']
names = [f"{r['name']}\n({r['student_id']})" for r in rankings]
scores = [r['total_score'] for r in rankings]
rollcall_counts = [r['random_rollcall_count'] for r in rankings]
self.figure.clear()
chart_type = self.chart_type_combo.currentText()
if chart_type == "柱形图":
# 创建双Y轴
ax1 = self.figure.add_subplot(111)
ax2 = ax1.twinx()
# 绘制积分柱形图
bars = ax1.bar(range(len(names)), scores, color='skyblue', alpha=0.7, label='总积分')
ax1.set_xlabel('学生')
ax1.set_ylabel('总积分', color='blue')
ax1.set_xticks(range(len(names)))
ax1.set_xticklabels(names, rotation=45, ha='right')
ax1.tick_params(axis='y', labelcolor='blue')
ax1.grid(True, alpha=0.3)
# 绘制点名次数折线图
line = ax2.plot(range(len(names)), rollcall_counts,
color='red', marker='o', linewidth=2, label='随机点名次数')
ax2.set_ylabel('随机点名次数', color='red')
ax2.tick_params(axis='y', labelcolor='red')
# 添加图例
ax1.legend(loc='upper left')
ax2.legend(loc='upper right')
self.figure.suptitle(f'积分排名前{top_n}名(柱形图:积分,折线图:点名次数)', fontsize=14)
else: # 折线图
ax = self.figure.add_subplot(111)
# 绘制积分折线
line1 = ax.plot(range(len(names)), scores,
color='blue', marker='o', linewidth=2, label='总积分')
ax.set_xlabel('学生')
ax.set_ylabel('总积分', color='blue')
ax.tick_params(axis='y', labelcolor='blue')
ax.set_xticks(range(len(names)))
ax.set_xticklabels(names, rotation=45, ha='right')
# 创建第二个Y轴用于点名次数
ax2 = ax.twinx()
line2 = ax2.plot(range(len(names)), rollcall_counts,
color='red', marker='s', linewidth=2, label='随机点名次数')
ax2.set_ylabel('随机点名次数', color='red')
ax2.tick_params(axis='y', labelcolor='red')
# 添加图例
ax.legend(loc='upper left')
ax2.legend(loc='upper right')
ax.grid(True, alpha=0.3)
self.figure.suptitle(f'积分排名前{top_n}名(折线图)', fontsize=14)
self.figure.tight_layout()
self.canvas.draw()
except Exception as e:
import traceback
error_msg = f"加载排名数据失败: {str(e)}\n{traceback.format_exc()}"
print(error_msg)
self.figure.clear()
ax = self.figure.add_subplot(111)
ax.text(0.5, 0.5, f'加载失败\n{str(e)}', ha='center', va='center', fontsize=12)
self.canvas.draw()