Python學習筆記: Pandas 欄位部份字元篩選

import pandas as pd

dict = {'學年': {0: 108,
  1: 108,
  2: 108,
  3: 108,
  4: 108,
  5: 108,
  6: 108,
  7: 108,
  8: 108,
  9: 108},
 '學期': {0: 1, 1: 1, 2: 1, 3: 1, 4: 1, 5: 1, 6: 1, 7: 1, 8: 1, 9: 1},
 '開課系所': {0: '法律學系',
  1: '通識組',
  2: '電機所',
  3: '電機所',
  4: '電機所',
  5: '電機所',
  6: '電機所',
  7: '地質所',
  8: '地質所',
  9: '地質所'},
 '課號': {0: 'A0263',
  1: 'A0163',
  2: 'A0134',
  3: 'A0164',
  4: 'A0238',
  5: 'A0273',
  6: 'A0431',
  7: 'A0118',
  8: 'A0149',
  9: 'A0204'},
 '課名': {0: '著作權與傳播法規',
  1: '民法債編總論',
  2: '服務學習二',
  3: '亞洲電影與政治',
  4: '羽球(一)',
  5: '運動專長訓練專題研究',
  6: '智慧財產權法專題研究(三)',
  7: '普通化學丙',
  8: '英文能力檢定',
  9: '導遊實務'},
 '學分': {0: 0.5,
  1: 3.0,
  2: 1.0,
  3: 3.0,
  4: 3.0,
  5: 3.0,
  6: 3.0,
  7: 0.0,
  8: 2.0,
  9: 0.0},
 '教師': {0: '余采蓉',
  1: '張威德',
  2: '周佩芸',
  3: '林佳燕',
  4: '蔡偉婷',
  5: '郭美民',
  6: '楊博仁',
  7: '黃樂玟',
  8: '陳學奇',
  9: '林敬岳'},
 '上課時間': {0: '一3一4',
  1: '二5四5四6',
  2: '二10二11',
  3: '二2二3二4',
  4: '五2五3五4',
  5: '二5二6二7',
  6: '二5二6二7',
  7: '一3一4',
  8: '一5一6',
  9: '四1四2'},
 '修課人數': {0: 9, 1: 57, 2: 41, 3: 46, 4: 22, 5: 9, 6: 22, 7: 39, 8: 55, 9: 54},
 '學號': {0: 'K00001',
  1: 'K00002',
  2: 'K00003',
  3: 'K00004',
  4: 'K00005',
  5: 'K00006',
  6: 'K00007',
  7: 'K00008',
  8: 'K00009',
  9: 'K00010'},
 '修課學生部別': {0: '大學部',
  1: '大學部',
  2: '大學部',
  3: '大學部',
  4: '大學部',
  5: '大學部',
  6: '大學部',
  7: '大學部',
  8: '大學部',
  9: '大學部'},
 '修課學生系所': {0: '森林環資系',
  1: '通識組',
  2: '電機所',
  3: '森林環資系',
  4: '電機所',
  5: '電機所',
  6: '電機所',
  7: '法律系',
  8: '公衛系',
  9: '化工系'},
 '學生姓名': {0: '張中銘',
  1: '劉俊杰',
  2: '許哲玟',
  3: '吳文芸',
  4: '戴仲原',
  5: '張瑞喜',
  6: '謝良木',
  7: '林嘉甲',
  8: '陳麗芬',
  9: '沈傳花'}}

# 設假要篩選學生姓名中含有以下關鍵字的資料
pattern = ['銘', '傳', '淡', '江', '逢', '甲', '中', '原', '文', '化']

df = pd.DataFrame(dict)
print(len(df))
print(df.columns)
df

mylist = []
for name in df['學生姓名']:
    res = ""
    for s in name:
        if s in pattern and not s in res:
            res += s
    mylist.append(res)

df['關鍵字'] = mylist
df

# 剔除「關鍵字」欄位為空值資料
df[~(df['關鍵字']=='')]