[英]export to csv and read multiIndex dataframe pandas
我需要導出到csv,然后再次導入一個看起來像這樣的DataFrame:
price ................................................................................................................... hold buy balance long_size short_size minute hour day week month
close high low open CCI12 ROC12 CCI15 ROC15 CCI21 ROC21 ...
Time
2015-01-02 14:20:00 97.8515 97.8595 97.8205 97.8345 91.168620 0.000557 95.323467 0.000394 68.073065 0.000348 ... 0.0 0.0 0.0 0.0 0.0 8.660254e-01 -0.500000 0.974928 1.205367e-01 5.000000e-01
其中行索引由時間戳表示,前39列是“價格”子列,其余的列在“價格”的同一級別上。 multiIndex看起來像這樣
MultiIndex(levels=[['price', 'tick_counts', 'sell', 'hold', 'buy', 'balance', 'long_size', 'short_size', 'minute', 'hour', 'day', 'week', 'month'], [0, 'close', 'high', 'low', 'open', 'CCI12', 'ROC12', 'CCI15', 'ROC15', 'CCI21', 'ROC21', 'CCI30', 'ROC30', 'CCI40', 'ROC40', 'CCI100', 'ROC100', 'SMA12', 'EWMA12', 'SMA21', 'EWMA21', 'SMA26', 'EWMA26', 'SMA50', 'EWMA50', 'SMA100', 'EWMA100', 'SMA200', 'EWMA200', 'MACD', 'UpperBB10', 'LowerBB10', 'UpperBB20', 'LowerBB20', 'UpperBB30', 'LowerBB30', 'UpperBB40', 'LowerBB40', 'UpperBB50', 'LowerBB50', '']],
labels=[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 0, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40]])
我不知道如何在使用df.to_csv()導出和使用df.read_csv()導出時輕松地保留此結構。 到目前為止,我所有的嘗試都一團糟。
編輯:如果我只是按建議使用pd.to_csv(“ /”,index = True),然后用read_csv(“ /”)讀回,我得到:
Unnamed: 0 price price.1 price.2 price.3 price.4 price.5 price.6 price.7 price.8 ... hold buy balance long_size short_size minute hour day week month
0 NaN close high low open CCI12 ROC12 CCI15 ROC15 CCI21 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
1 Time NaN NaN NaN NaN NaN NaN NaN NaN NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2 2015-01-02 14:20:00 97.85149999999999 97.8595 97.82050000000001 97.83449999999999 91.16862020296143 0.0005572768080819476 95.32346677471595 0.0003936082115872622 68.07306512447788 ... 0.0 0.0 0.0 0.0 0.0 8.660254e-01 -0.500000 0.974928 1.205367e-01 5.000000e-01
標頭的第二層變為dataFrame的第一行。
EDIT2:沒關系,我剛剛發現了hdf5,顯然,與csv相反,即使使用multiIndex,它也可以保留結構,而無需進行其他工作,因此我將使用pd.to_hdf()。
我認為如果您使用-pd.to_csv(“ /”,index = True)它將其與索引一起保存,然后像往常一樣讀回。
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