70 lines
2.4 KiB
Python
70 lines
2.4 KiB
Python
#!/usr/bin/env python3
|
||
# -*- coding: utf-8 -*-
|
||
import openpyxl
|
||
|
||
wb = openpyxl.load_workbook('家庭教育档案-天数.xlsx')
|
||
ws = wb.active
|
||
|
||
print('✓ 所有表头列表')
|
||
print('=' * 80)
|
||
for i in range(1, ws.max_column + 1):
|
||
cell = ws.cell(1, i)
|
||
col_letter = chr(64 + i) if i <= 26 else chr(64 + i // 26) + chr(64 + i % 26)
|
||
print(f'{i:2d} ({col_letter:2s}): {cell.value}')
|
||
|
||
print('\n' + '=' * 80)
|
||
print('✓ C列（家庭角色）全部唯一值')
|
||
print('=' * 80)
|
||
c_values = {}
|
||
for row in range(2, ws.max_row + 1):
|
||
val = str(ws[f'C{row}'].value).strip() if ws[f'C{row}'].value else ''
|
||
if val:
|
||
c_values[val] = c_values.get(val, 0) + 1
|
||
for val, count in sorted(c_values.items()):
|
||
print(f' {val:15s} (出现 {count:3d} 次)')
|
||
|
||
print('\n' + '=' * 80)
|
||
print('✓ D列（文化程度）全部唯一值')
|
||
print('=' * 80)
|
||
d_values = {}
|
||
for row in range(2, ws.max_row + 1):
|
||
val = str(ws[f'D{row}'].value).strip() if ws[f'D{row}'].value else ''
|
||
if val:
|
||
d_values[val] = d_values.get(val, 0) + 1
|
||
for val, count in sorted(d_values.items()):
|
||
print(f' {val:20s} (出现 {count:3d} 次)')
|
||
|
||
print('\n' + '=' * 80)
|
||
print('✓ U列（孩子学习成绩）全部唯一值')
|
||
print('=' * 80)
|
||
u_values = {}
|
||
for row in range(2, ws.max_row + 1):
|
||
val = str(ws[f'U{row}'].value).strip() if ws[f'U{row}'].value else ''
|
||
if val:
|
||
u_values[val] = u_values.get(val, 0) + 1
|
||
for val, count in sorted(u_values.items()):
|
||
print(f' {val:15s} (出现 {count:3d} 次)')
|
||
|
||
print('\n' + '=' * 80)
|
||
print('✓ 寻找性格/特征相关列...')
|
||
print('=' * 80)
|
||
found = False
|
||
for i in range(1, ws.max_column + 1):
|
||
header = str(ws.cell(1, i).value).lower() if ws.cell(1, i).value else ''
|
||
if '性格' in header or '特征' in header or '个性' in header or '性质' in header:
|
||
col_letter = chr(64 + i) if i <= 26 else chr(64 + i // 26) + chr(64 + i % 26)
|
||
print(f'✓ 找到！Column {i} ({col_letter}): {ws.cell(1, i).value}')
|
||
# 取样
|
||
values = {}
|
||
for row in range(2, min(100, ws.max_row + 1)):
|
||
val = str(ws[f'{col_letter}{row}'].value).strip() if ws[f'{col_letter}{row}'].value else ''
|
||
if val:
|
||
values[val] = values.get(val, 0) + 1
|
||
for val, count in sorted(values.items()):
|
||
print(f' {val:30s} (出现 {count:3d} 次)')
|
||
found = True
|
||
|
||
if not found:
|
||
print('✗ 未找到明确的性格/特征列')
|
||
print('请检查以下可能的列...')
|