我有两个用python编写的df,它们是我从Excel电子表格创建的。我在nflx_analyst_signals df中有一组特定的日期,我只想从nflx_returns df中获取nflx_analyst_signals df中的那些行。我刚接触熊猫,虽然这看起来是个很容易的问题,但我似乎无法解决
以下是我尝试过的: 1.在两个df中重置索引(Reset_index()),并尝试比较日期。 2.将日期列更改为“datetime64[ns]格式,并尝试比较日期。 3.在nflx\U信号df中列出日期,并在nflx\U返回df中应用np.ISI
一,
nflx_returns.reset_index()
nflx_analysts_signals.reset_index()
nflx_returns[nflx_returns['date'] == nflx_analysts_signals['dte']]
二,
nflx_returns['date'] = nflx_returns['date'].astype('datetime64')
nflx_analysts_signals['dte'] = nflx_analysts_signals['dte'].astype('datetime64')
nflx_returns['CONDN_CHECK'] = nflx_returns[np.where(nflx_returns['date'].equals[nflx_analysts_signals('dte')])]
三,
dates = []
for date in nflx_analysts_signals['dte']:
dates.append(date)
nflx_returns['CONDN'] = np.isin(list(nflx_returns['date']), dates)
我在iPython中分别尝试这些不同方法时遇到的错误: 一,
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-11-819bcaeb6291> in <module>
----> 1 nflx_returns[nflx_returns['date'] == nflx_analysts_signals['dte']]
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\ops.py in wrapper(self, other, axis)
1674
1675 elif isinstance(other, ABCSeries) and not self._indexed_same(other):
-> 1676 raise ValueError("Can only compare identically-labeled "
1677 "Series objects")
1678
ValueError: Can only compare identically-labeled Series objects
二,
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-12-c94a05234af0> in <module>
----> 1 nflx_returns['CONDN_CHECK'] = nflx_returns[np.where(nflx_returns['date'].equals[nflx_analysts_signals('dte')])]
TypeError: 'DataFrame' object is not callable
三,。 代码运行正常,但生成的df中没有行。它基本上是空的,“CONDN_CHECK”列的所有行都为False
编辑: 两个df的某些行:
date VOLUME DAILY_TOTAL_GROSS_DIVIDEND DAILY_GROSS_DIVIDEND LOG_DAILY_RETURN CUM_TOT_RETURN_5D CUM_TOT_RETURN_20D CUM_TOT_RETURN_60D CUM_TOT_RETURN_120D AVG_VOLUME_5D AVG_VOLUME_20D AVG_VOLUME_60D AVG_VOLUME_120D
2792 2013-06-26 18839520 -0.3758 -0.003758 -0.003765 -0.086996 -0.015046 0.200408 1.195885 20438721.8 21219322.6 2.852531e+07 3.323521e+07
2793 2013-06-27 18332594 1.3531 0.013531 0.013440 -0.038253 -0.034537 0.266465 1.239741 19879419.0 20930923.3 2.757415e+07 3.323990e+07
2794 2013-06-28 19581436 -1.8049 -0.018049 -0.018214 -0.026787 -0.067006 0.266362 1.127918 19116070.4 20638025.8 2.732609e+07 3.302334e+07
2795 2013-07-01 24518284 6.2485 0.062485 0.060611 0.040259 0.010406 0.362078 1.308446 20438378.8 20800170.3 2.719278e+07 3.302161e+07
2796 2013-07-02 17730678 -1.2574 -0.012574 -0.012654 0.040205 -0.017089 0.358149 1.309040 19800502.4 20535986.1 2.695898e+07 3.300082e+07
ticker dte
8 NFLX US 2013-06-28
20 NFLX US 2013-07-31
33 NFLX US 2013-08-30
271 NFLX US 2015-03-31
287 NFLX US 2015-04-30
目前没有回答
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