python - 将 Excel 日期更改为数字范围

Question

我有一些 excel 决定随意使用的数据——我相信我们都能与之相关。

我有一些数字范围对我正在处理的数据很重要，在某些情况下，它会将列中的范围转换为日期。我需要将其转换回数字范围。我正在努力想出一种简单的方法来做到这一点。我有一种感觉，我需要保留这段代码，以便将来再次使用这些数据时使用。我试过替换月份缩写，但意识到如果“日期”小于月份，这会给范围带来错误的顺序。

data = {'Col1': ['a', 'b', 'c'],
        'Col2': ['101-200', 'Aug-1', 'Sep-8']}

goal = {'Col1': ['a', 'b', 'c'],
        'Col2': ['101-200', '1-8', '8-9']}

current_df = pd.DataFrame(data)
goal_df = pd.DataFrame(goal)

当前:

  Col1     Col2
0    a  101-200
1    b    Aug-1
2    c    Sep-8

目标:

  Col1     Col2
0    a  101-200
1    b      1-8
2    c      8-9

这是一个字典，其中包含我数据的前 100 行，就在 csv 之外。我对 Shares 列感兴趣。我在我的代码中做了一些其他的事情来将数据清理到我想要的位置，但这仍然让我感到困惑。

data = {'Publication Date': {0: '21-Sep-21', 1: '21-Sep-21', 2: '21-Sep-21', 3: '21-Sep-21', 4: '21-Sep-21', 5: '21-Sep-21', 6: '21-Sep-21', 7: '21-Sep-21', 8: '21-Sep-21', 9: '21-Sep-21', 10: '21-Sep-21', 11: '21-Sep-21', 12: '21-Sep-21', 13: '21-Sep-21', 14: '21-Sep-21', 15: '21-Sep-21', 16: '21-Sep-21', 17: '21-Sep-21', 18: '21-Sep-21', 19: '21-Sep-21', 20: '21-Sep-21', 21: '21-Sep-21', 22: '21-Sep-21', 23: '21-Sep-21', 24: '21-Sep-21', 25: '21-Sep-21', 26: '21-Sep-21', 27: '21-Sep-21', 28: '21-Sep-21', 29: '21-Sep-21', 30: '21-Sep-21', 31: '21-Sep-21', 32: '21-Sep-21', 33: '21-Sep-21', 34: '21-Sep-21', 35: '21-Sep-21', 36: '21-Sep-21', 37: '21-Sep-21', 38: '21-Sep-21', 39: '21-Sep-21', 40: '21-Sep-21', 41: '21-Sep-21', 42: '21-Sep-21', 43: '21-Sep-21', 44: '21-Sep-21', 45: '21-Sep-21', 46: '21-Sep-21', 47: '21-Sep-21', 48: '21-Sep-21', 49: '21-Sep-21', 50: '21-Sep-21', 51: '21-Sep-21', 52: '21-Sep-21', 53: '21-Sep-21', 54: '21-Sep-21', 55: '21-Sep-21', 56: '21-Sep-21', 57: '21-Sep-21', 58: '21-Sep-21', 59: '21-Sep-21', 60: '16-Sep-21', 61: '16-Sep-21', 62: '16-Sep-21', 63: '16-Sep-21', 64: '16-Sep-21', 65: '16-Sep-21', 66: '16-Sep-21', 67: '16-Sep-21', 68: '16-Sep-21', 69: '16-Sep-21', 70: '14-Sep-21', 71: '15-Sep-21', 72: '15-Sep-21', 73: '15-Sep-21', 74: '15-Sep-21', 75: '14-Sep-21', 76: '15-Sep-21', 77: '15-Sep-21', 78: '14-Sep-21', 79: '14-Sep-21', 80: '15-Sep-21', 81: '15-Sep-21', 82: '15-Sep-21', 83: '15-Sep-21', 84: '15-Sep-21', 85: '15-Sep-21', 86: '14-Sep-21', 87: '14-Sep-21', 88: '14-Sep-21', 89: '14-Sep-21', 90: '14-Sep-21', 91: '14-Sep-21', 92: '14-Sep-21', 93: '14-Sep-21', 94: '14-Sep-21', 95: '14-Sep-21', 96: '14-Sep-21', 97: '14-Sep-21', 98: '14-Sep-21', 99: '14-Sep-21'}, 
'Politician': {0: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 1: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 2: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 3: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 4: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 5: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 6: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 7: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 8: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 9: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 10: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 11: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 12: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 13: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 14: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 15: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 16: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 17: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 18: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 19: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 20: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 21: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 22: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 23: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 24: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 25: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 26: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 27: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 28: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 29: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 30: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 31: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 32: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 33: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 34: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 35: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 36: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 37: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 38: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 39: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 40: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 41: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 42: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 43: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 44: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 45: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 46: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 47: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 48: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 49: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 50: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 51: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 52: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 53: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 54: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 55: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 56: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 57: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 58: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 59: 'Gottheimer, Joshua S (Josh)Rep (D - NJ)', 60: 'Hern, Kevin RayRep (R - OK)', 61: 'Hern, Kevin RayRep (R - OK)', 62: 'Hern, Kevin RayRep (R - OK)', 63: 'Hern, Kevin RayRep (R - OK)', 64: 'Hern, Kevin RayRep (R - OK)', 65: 'Hern, Kevin RayRep (R - OK)', 66: 'Hern, Kevin RayRep (R - OK)', 67: 'Hern, Kevin RayRep (R - OK)', 68: 'Hern, Kevin RayRep (R - OK)', 69: 'Hern, Kevin RayRep (R - OK)', 70: 'McConnell, Addison Mitchell, Jr (Mitch)Sen (R - KY)', 71: 'DelBene, Suzan Kay OliverRep (D - WA)', 72: 'Banks, James Edward (Jim)Rep (R - IN)', 73: 'DelBene, Suzan Kay OliverRep (D - WA)', 74: 'Banks, James Edward (Jim)Rep (R - IN)', 75: 'Capito, Shelley Wellons MooreSen (R - WV)', 76: 'Banks, James Edward (Jim)Rep (R - IN)', 77: 'Banks, James Edward (Jim)Rep (R - IN)', 78: 'Capito, Shelley Wellons MooreSen (R - WV)', 79: 'Capito, Shelley Wellons MooreSen (R - WV)', 80: 'DelBene, Suzan Kay OliverRep (D - WA)', 81: 'DelBene, Suzan Kay OliverRep (D - WA)', 82: 'DelBene, Suzan Kay OliverRep (D - WA)', 83: 'DelBene, Suzan Kay OliverRep (D - WA)', 84: 'Jacobs, Christopher L (Chris)Rep (R - NY)', 85: 'Jacobs, Christopher L (Chris)Rep (R - NY)', 86: 'Lowenthal, Alan StuartRep (D - CA)', 87: 'Lowenthal, Alan StuartRep (D - CA)', 88: 'Lowenthal, Alan StuartRep (D - CA)', 89: 'Lowenthal, Alan StuartRep (D - CA)', 90: 'Lowenthal, Alan StuartRep (D - CA)', 91: 'Lowenthal, Alan StuartRep (D - CA)', 92: 'Lowenthal, Alan StuartRep (D - CA)', 93: 'Lowenthal, Alan StuartRep (D - CA)', 94: 'McKinley, David BennettRep (R - WV)', 95: 'McKinley, David BennettRep (R - WV)', 96: 'McKinley, David BennettRep (R - WV)', 97: 'McKinley, David BennettRep (R - WV)', 98: 'McKinley, David BennettRep (R - WV)', 99: 'McKinley, David BennettRep (R - WV)'}, 
'Owner': {0: 'Joint', 1: 'Joint', 2: 'Joint', 3: 'Joint', 4: 'Joint', 5: 'Joint', 6: 'Joint', 7: 'Joint', 8: 'Joint', 9: 'Joint', 10: 'Joint', 11: 'Joint', 12: 'Joint', 13: 'Joint', 14: 'Joint', 15: 'Joint', 16: 'Joint', 17: 'Joint', 18: 'Joint', 19: 'Joint', 20: 'Joint', 21: 'Joint', 22: 'Joint', 23: 'Joint', 24: 'Joint', 25: 'Joint', 26: 'Joint', 27: 'Joint', 28: 'Joint', 29: 'Joint', 30: 'Joint', 31: 'Joint', 32: 'Joint', 33: 'Joint', 34: 'Joint', 35: 'Joint', 36: 'Joint', 37: 'Joint', 38: 'Joint', 39: 'Joint', 40: 'Joint', 41: 'Joint', 42: 'Joint', 43: 'Joint', 44: 'Joint', 45: 'Joint', 46: 'Joint', 47: 'Joint', 48: 'Joint', 49: 'Joint', 50: 'Joint', 51: 'Joint', 52: 'Joint', 53: 'Joint', 54: 'Joint', 55: 'Joint', 56: 'Joint', 57: 'Joint', 58: 'Joint', 59: 'Joint', 60: 'Joint', 61: 'Joint', 62: 'Joint', 63: 'Joint', 64: 'Joint', 65: 'Joint', 66: 'Joint', 67: 'Joint', 68: 'Joint', 69: 'Joint', 70: 'Spouse', 71: 'Spouse', 72: 'Not Disclosed', 73: 'Spouse', 74: 'Not Disclosed', 75: 'Spouse', 76: 'Not Disclosed', 77: 'Not Disclosed', 78: 'Spouse', 79: 'Spouse', 80: 'Joint', 81: 'Joint', 82: 'Joint', 83: 'Joint', 84: 'Not Disclosed', 85: 'Not Disclosed', 86: 'Spouse', 87: 'Spouse', 88: 'Spouse', 89: 'Joint', 90: 'Spouse', 91: 'Joint', 92: 'Spouse', 93: 'Spouse', 94: 'Not Disclosed', 95: 'Not Disclosed', 96: 'Not Disclosed', 97: 'Not Disclosed', 98: 'Not Disclosed', 99: 'Not Disclosed'}, 
'Issuer/Asset': {0: 'PINTEREST INC', 1: 'ENDAVA PLC -ADR', 2: 'HALOZYME THERAPEUTICS INC', 3: 'SYNEOS HEALTH INC', 4: 'MICROSOFT CORP', 5: 'MICROSOFT CORP', 6: 'MICROSOFT CORP', 7: 'MICROSOFT CORP', 8: 'MICROSOFT CORP', 9: 'MICROSOFT CORP', 10: 'MICROSOFT CORP', 11: 'MICROSOFT CORP', 12: 'MICROSOFT CORP', 13: 'MICROSOFT CORP', 14: 'TENCENT HOLDINGS LTD', 15: 'NORFOLK SOUTHERN CORP', 16: 'ADVANCED MICRO DEVICES', 17: 'BOOKING HOLDINGS INC', 18: 'PINTEREST INC', 19: 'WAYFAIR INC', 20: 'PINTEREST INC', 21: 'ENDAVA PLC -ADR', 22: 'HALOZYME THERAPEUTICS INC', 23: 'SYNEOS HEALTH INC', 24: 'MICROSOFT CORP', 25: 'MICROSOFT CORP', 26: 'MICROSOFT CORP', 27: 'MICROSOFT CORP', 28: 'MICROSOFT CORP', 29: 'MICROSOFT CORP', 30: 'MICROSOFT CORP', 31: 'MICROSOFT CORP', 32: 'MICROSOFT CORP', 33: 'MICROSOFT CORP', 34: 'TENCENT HOLDINGS LTD', 35: 'NORFOLK SOUTHERN CORP', 36: 'ADVANCED MICRO DEVICES', 37: 'BOOKING HOLDINGS INC', 38: 'PINTEREST INC', 39: 'WAYFAIR INC', 40: 'PINTEREST INC', 41: 'ENDAVA PLC -ADR', 42: 'HALOZYME THERAPEUTICS INC', 43: 'SYNEOS HEALTH INC', 44: 'MICROSOFT CORP', 45: 'MICROSOFT CORP', 46: 'MICROSOFT CORP', 47: 'MICROSOFT CORP', 48: 'MICROSOFT CORP', 49: 'MICROSOFT CORP', 50: 'MICROSOFT CORP', 51: 'MICROSOFT CORP', 52: 'MICROSOFT CORP', 53: 'MICROSOFT CORP', 54: 'TENCENT HOLDINGS LTD', 55: 'NORFOLK SOUTHERN CORP', 56: 'ADVANCED MICRO DEVICES', 57: 'BOOKING HOLDINGS INC', 58: 'PINTEREST INC', 59: 'WAYFAIR INC', 60: 'EATON VANCE TX MNGD OPPTY FD', 61: 'EMERSON ELECTRIC CO', 62: 'FIDELITY QUALITY FACTOR ETF', 63: 'HOME DEPOT INC', 64: 'ILLINOIS TOOL WORKS', 65: 'ISHARES CORE DIV GROWTH ETF', 66: 'JPMORGAN CHASE & CO', 67: 'LINDE PLC', 68: 'MEDTRONIC PLC', 69: 'VUZIX CORP', 70: 'WELLS FARGO & CO', 71: 'MICROSOFT CORP', 72: 'FORD MOTOR CO', 73: 'MICROSOFT CORP', 74: 'ROBLOX CORP', 75: 'APPLE INC', 76: 'ROBLOX CORP', 77: 'ROBLOX CORP', 78: 'APPLE INC', 79: 'MICROSOFT CORP', 80: 'SOMERSET COUNTY NJ', 81: 'SOMERSET COUNTY NJ', 82: 'STATE OF TEXAS', 83: 'TOWN OF WOLCOTT CONNECTICUT', 84: 'NEW YORK CITY TRANSITIONAL FINANCE AUTHORITY', 85: 'DORMITORY AUTHORITY OF THE STATE OF NEW YORK', 86: 'VMWARE INC -CL A', 87: 'T-MOBILE US INC', 88: 'BOOKING HOLDINGS INC', 89: 'BOOKING HOLDINGS INC', 90: 'BOOKING HOLDINGS INC', 91: 'GENERAL MOTORS CO', 92: 'GENERAL MOTORS CO', 93: 'GENERAL MOTORS CO', 94: 'ACCENTURE PLC', 95: 'ALPHABET INC', 96: 'APPLE INC', 97: 'ESTEE LAUDER COMPANIES INC', 98: 'INTUIT INC', 99: 'THERMO FISHER SCIENTIFIC INC'}, 
'Ticker': {0: 'PINS', 1: 'DAVA', 2: 'HALO', 3: 'SYNH', 4: 'MSFT', 5: 'MSFT', 6: 'MSFT', 7: 'MSFT', 8: 'MSFT', 9: 'MSFT', 10: 'MSFT', 11: 'MSFT', 12: 'MSFT', 13: 'MSFT', 14: 'TCEHY', 15: 'NSC', 16: 'AMD', 17: 'BKNG', 18: 'PINS', 19: 'W', 20: 'PINS', 21: 'DAVA', 22: 'HALO', 23: 'SYNH', 24: 'MSFT', 25: 'MSFT', 26: 'MSFT', 27: 'MSFT', 28: 'MSFT', 29: 'MSFT', 30: 'MSFT', 31: 'MSFT', 32: 'MSFT', 33: 'MSFT', 34: 'TCEHY', 35: 'NSC', 36: 'AMD', 37: 'BKNG', 38: 'PINS', 39: 'W', 40: 'PINS', 41: 'DAVA', 42: 'HALO', 43: 'SYNH', 44: 'MSFT', 45: 'MSFT', 46: 'MSFT', 47: 'MSFT', 48: 'MSFT', 49: 'MSFT', 50: 'MSFT', 51: 'MSFT', 52: 'MSFT', 53: 'MSFT', 54: 'TCEHY', 55: 'NSC', 56: 'AMD', 57: 'BKNG', 58: 'PINS', 59: 'W', 60: 'ETV', 61: 'EMR', 62: 'FQAL', 63: 'HD', 64: 'ITW', 65: 'DGRO', 66: 'JPM', 67: 'LIN', 68: 'MDT', 69: 'VUZI', 70: 'WFC', 71: 'MSFT', 72: 'F', 73: 'MSFT', 74: 'RBLX', 75: 'AAPL', 76: 'RBLX', 77: 'RBLX', 78: 'AAPL', 79: 'MSFT', 80: '--', 81: '--', 82: '--', 83: '--', 84: '--', 85: '--', 86: 'VMW', 87: 'TMUS', 88: 'BKNG', 89: 'BKNG', 90: 'BKNG', 91: 'GM', 92: 'GM', 93: 'GM', 94: 'ACN', 95: 'GOOGL', 96: 'AAPL', 97: 'EL', 98: 'INTU', 99: 'TMO'}, 
'Transaction Date': {0: '27-Aug-21', 1: '20-Aug-21', 2: '20-Aug-21', 3: '20-Aug-21', 4: '16-Aug-21', 5: '16-Aug-21', 6: '16-Aug-21', 7: '16-Aug-21', 8: '16-Aug-21', 9: '16-Aug-21', 10: '16-Aug-21', 11: '16-Aug-21', 12: '16-Aug-21', 13: '16-Aug-21', 14: '9-Aug-21', 15: '5-Aug-21', 16: '4-Aug-21', 17: '4-Aug-21', 18: '2-Aug-21', 19: '2-Aug-21', 20: '27-Aug-21', 21: '20-Aug-21', 22: '20-Aug-21', 23: '20-Aug-21', 24: '16-Aug-21', 25: '16-Aug-21', 26: '16-Aug-21', 27: '16-Aug-21', 28: '16-Aug-21', 29: '16-Aug-21', 30: '16-Aug-21', 31: '16-Aug-21', 32: '16-Aug-21', 33: '16-Aug-21', 34: '9-Aug-21', 35: '5-Aug-21', 36: '4-Aug-21', 37: '4-Aug-21', 38: '2-Aug-21', 39: '2-Aug-21', 40: '27-Aug-21', 41: '20-Aug-21', 42: '20-Aug-21', 43: '20-Aug-21', 44: '16-Aug-21', 45: '16-Aug-21', 46: '16-Aug-21', 47: '16-Aug-21', 48: '16-Aug-21', 49: '16-Aug-21', 50: '16-Aug-21', 51: '16-Aug-21', 52: '16-Aug-21', 53: '16-Aug-21', 54: '9-Aug-21', 55: '5-Aug-21', 56: '4-Aug-21', 57: '4-Aug-21', 58: '2-Aug-21', 59: '2-Aug-21', 60: '1-Jul-21', 61: '1-Jul-21', 62: '1-Jul-21', 63: '1-Jul-21', 64: '1-Jul-21', 65: '1-Jul-21', 66: '1-Jul-21', 67: '1-Jul-21', 68: '1-Jul-21', 69: '1-Jul-21', 70: '3-Sep-21', 71: '31-Aug-21', 72: '30-Aug-21', 73: '30-Aug-21', 74: '30-Aug-21', 75: '25-Aug-21', 76: '25-Aug-21', 77: '25-Aug-21', 78: '17-Aug-21', 79: '17-Aug-21', 80: '16-Aug-21', 81: '12-Aug-21', 82: '12-Aug-21', 83: '11-Aug-21', 84: '5-Aug-21', 85: '3-Aug-21', 86: '8-Sep-21', 87: '24-Aug-21', 88: '23-Aug-21', 89: '23-Aug-21', 90: '23-Aug-21', 91: '23-Aug-21', 92: '23-Aug-21', 93: '23-Aug-21', 94: '19-Aug-21', 95: '19-Aug-21', 96: '19-Aug-21', 97: '19-Aug-21', 98: '19-Aug-21', 99: '19-Aug-21'}, 
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Answer 1

我有一段时间没有编写 python，但如果有帮助，可以为您提供直接在 Excel 中使用的解决方案。

下面的数据只在A列和B列，B列的公式是:

=IF(LEFT(CELL("format",A2),1)="D",DAY(A2)&"-"&MONTH(A2),A2)

它正在做的是检查 A 列中单元格格式的第一个字符。如果它是“D”，那么它知道这是一个日期，并将在日期和月份之间用连字符连接起来，否则它只使用值在A列