如何：
df2.combine_first(df1)？
In [33]: df2Out[33]: A B C D2000-01-03 0.638998 1.277361 0.193649 0.3450632000-01-04 -0.816756 -1.711666 -1.155077 -0.6787262000-01-05 0.435507 -0.025162 -1.112890 0.3241112000-01-06 -0.210756 -1.027164 0.036664 0.8847152000-01-07 -0.821631 -0.700394 -0.706505 1.1933412000-01-10 1.015447 -0.909930 0.027548 0.2584712000-01-11 -0.497239 -0.979071 -0.461560 0.447598In [34]: df1Out[34]: A B C2000-01-03 2.288863 0.188175 -0.0409282000-01-04 0.159107 -0.666861 -0.5516282000-01-05 -0.356838 -0.231036 -1.2114462000-01-06 -0.866475 1.113018 -0.0014832000-01-07 0.303269 0.021034 0.4717152000-01-10 1.149815 0.686696 -1.2309912000-01-11 -1.296118 -0.172950 -0.6038872000-01-12 -1.034574 -0.523238 0.6269682000-01-13 -0.193280 1.857499 -0.0463832000-01-14 -1.043492 -0.820525 0.868685In [35]: df2.combdf2.combine df2.combineAdd df2.combine_first df2.combineMultIn [35]: df2.combine_first(df1)Out[35]: A B C D2000-01-03 0.638998 1.277361 0.193649 0.3450632000-01-04 -0.816756 -1.711666 -1.155077 -0.6787262000-01-05 0.435507 -0.025162 -1.112890 0.3241112000-01-06 -0.210756 -1.027164 0.036664 0.8847152000-01-07 -0.821631 -0.700394 -0.706505 1.1933412000-01-10 1.015447 -0.909930 0.027548 0.2584712000-01-11 -0.497239 -0.979071 -0.461560 0.4475982000-01-12 -1.034574 -0.523238 0.626968 NaN2000-01-13 -0.193280 1.857499 -0.046383 NaN2000-01-14 -1.043492 -0.820525 0.868685 NaN
请注意，它
df1从不与重叠的索引中获取值
df2。如果这不能完全满足您的要求，我将愿意改进此功能/为其添加选项。
