187 lines
6.5 KiB
Python
187 lines
6.5 KiB
Python
import os
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import sys
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import io
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import matplotlib
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from matplotlib import pyplot as plt
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import re
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def format_ranges(nums):
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"""格式化区间，支持特殊标记"""
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if not nums:
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return ""
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def parse_value(val):
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"""解析值，返回主数值和次要标记"""
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if isinstance(val, int):
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return val, ""
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match = re.match(r"(\d+)[(（](.*?)[)）]", str(val))
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if match:
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return int(match.group(1)), match.group(2)
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return int(val), ""
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# 排序规则：主数值优先，次要标记其次
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sorted_nums = sorted(nums, key=lambda x: parse_value(x))
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result = []
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start = sorted_nums[0]
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end = sorted_nums[0]
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def is_continuous(val1, val2):
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"""判断两个值是否连续"""
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main1, sub1 = parse_value(val1)
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main2, sub2 = parse_value(val2)
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# 主数值连续，且次要标记为空（特殊标记视为不连续）
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return main2 == main1 + 1 and not sub2
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for i in range(1, len(sorted_nums)):
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if is_continuous(end, sorted_nums[i]):
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end = sorted_nums[i]
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else:
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# 处理一个区间
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if parse_value(start)[0] == parse_value(end)[0]: # 单值或特殊标记
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result.append(str(start))
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elif parse_value(end)[0] - parse_value(start)[0] >= 2: # 连续区间
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result.append(f"{parse_value(start)[0]}~{parse_value(end)[0]}")
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else: # 非连续的单值
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result.extend(map(str, [start, end]))
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start = end = sorted_nums[i]
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# 添加最后一段区间
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if parse_value(start)[0] == parse_value(end)[0]: # 单值或特殊标记
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result.append(str(start))
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elif parse_value(end)[0] - parse_value(start)[0] >= 2: # 连续区间
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result.append(f"{parse_value(start)[0]}~{parse_value(end)[0]}")
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else: # 非连续的单值
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result.extend(map(str, [start, end]))
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return "、".join(result)
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def support_version_str(lst: list[str]) -> str:
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"""支持的版本字符串"""
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if len(lst) == 1:
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return lst[0]
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elif len(lst) == 2:
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return f"{lst[0]}、{lst[1]}"
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else:
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return f"{lst[0]}~{lst[-1]}"
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def get_rank(score: int | float) -> str:
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"""根据分数获取等级"""
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if score >= 0.9:
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return "优秀"
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elif score >= 0.8:
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return "良好"
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elif score >= 0.7:
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return "中等"
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elif score >= 0.6:
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return "及格"
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else:
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return "不及格"
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def min_score_people_name(data: list, kpi_number: int, start_index: int, end_index: int) -> list[tuple[str]]:
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"""获取最低分人名"""
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# 0 1 2 3 4 5 6 7 8 9 10 11 12 13
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# 20060510XX 覃XX 40.5 45 49 0.738 16 17 0 0.330 24.5 15 14 0.695
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remove_indices = [5, 9, 13, 17, 21]
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# 更新后的数据
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# 0 1 2 3 4 5 6 7 8 9 10
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# 20060510XX 覃XX 40.5 45 49 16 17 0 24.5 15 14
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index = 2 + kpi_number * 3
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updated_data = [[item for j, item in enumerate(row) if j not in remove_indices] for row in data]
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result = [(), (), ()]
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min_scores = [min(updated_data[start_index:end_index],
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key=lambda x: x[index + i] if x[index + i] is not None else 0)[index + i] for i in range(3)]
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for row in updated_data[start_index:end_index]:
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for i in range(3):
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if row[index + i] == min_scores[i]:
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result[i] += (row[1],)
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return result
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def get_class_index_range(lst: list[int], num: int):
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"""获取班级的索引范围"""
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if num < 0 or num > len(lst):
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raise ValueError("OutOfRange")
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# 计算前num-1项和加一
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first_value = sum(lst[:num])
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# 计算前num项和加一
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second_value = sum(lst[:num + 1]) if num < len(lst) else "OutOfRange"
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return (first_value, second_value)
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def check_version(version, compatible_versions):
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# 将版本字符串转换为数字列表以便比较
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version_nums = [int(v) for v in version.split('.')]
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min_version_nums = [int(v) for v in compatible_versions[0].split('.')]
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max_version_nums = [int(v) for v in compatible_versions[-1].split('.')]
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# 比较版本
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if version_nums < min_version_nums:
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return False, "不支持低于{}的版本，如需尝试生成请勾选‘关闭兼容性检查’".format(compatible_versions[0])
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elif version_nums > max_version_nums:
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return True, "版本过高可能会导致兼容性问题"
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else:
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return True, ""
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def gen_picture(data: list[list[str]], kpi_number: int, start_index: int, end_index: int):
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# 设置全局字体
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matplotlib.rcParams['font.family'] = ['Times New Roman', 'KaiTi']
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matplotlib.rcParams['font.size'] = 10
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# 将厘米转换为英寸
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width_in_inches = 8 * 0.393701
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height_in_inches = 6 * 0.393701
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# 创建一个图形和三个子图
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fig, axs = plt.subplots(1, kpi_number, figsize=(width_in_inches * kpi_number, height_in_inches))
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# 遍历每个指定的索引来生成散点图
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for ax, index in zip(axs, range(kpi_number)):
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# 处理数据
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data_indices = [5, 9, 13, 17, 21]
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update_data = [[float(item) for j, item in enumerate(row) if j in data_indices] for row in data]
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x = [i for i in range(end_index - start_index)]
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y = [row[index] for row in update_data[start_index:end_index]]
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# 绘制散点图
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ax.scatter(x, y, label=f'目标{index + 1}达成值', s=10)
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# 添加期望值直线
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ax.axhline(y=0.65, color='r', linestyle='-', label='期望值')
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# 设置轴标签
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ax.set_xlabel('学生学号')
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ax.set_ylabel('达成值')
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# 设置y轴范围和刻度
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ax.set_ylim(0, 1)
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ax.set_yticks([i * 0.2 for i in range(6)])
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# 设置图例
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ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.35), ncol=2, frameon=False)
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# 设置坐标原点为(0, 0)
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ax.set_xlim(x.index(x[0]), None)
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# 调整子图间距
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plt.tight_layout()
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# 创建一个内存中的文件对象
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buf = io.BytesIO()
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# 保存图形
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plt.savefig(buf, format='png', dpi=300, bbox_inches='tight')
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# 将文件对象转换为字节对象
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res = buf.getvalue()
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buf.close()
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return res
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def resource_path(relative_path: str) -> str:
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if hasattr(sys, '_MEIPASS'):
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base_path = sys._MEIPASS
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else:
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base_path = os.path.abspath(".")
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return os.path.join(base_path, relative_path)
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DEVELOPMENT_ENV = getattr(sys, 'frozen', False) |