Python 从熊猫系列中筛选多个列

我有一个数据帧，为了创建一些分区，我必须从中检索唯一的值。我有这个部分，我可以得到一个小的数据帧，每一行都是一个特定的分区。我所面临的挑战是，然后我需要将原始数据帧过滤为仅适当的数据（而不修改原始帧以便过滤所有值），以便将其发送到S3

我无法根据小数据帧中的序列筛选数据帧

这是我的密码：

        df_partitions = df.groupby(['grid_id', 'case_id', 'snapshot_year', 'snapshot_month', 'snapshot_day']).size().reset_index()
        df_parts = df_partitions[['grid_id', 'case_id', 'snapshot_year', 'snapshot_month', 'snapshot_day']]

        for index, row in df_parts.iterrows() :
            dest_key_name = '/rec/{}/{}/{}/{}/{}/{}/{}'.format(row['grid_id'], row['case_id'],
                                                               row['snapshot_year'], row['snapshot_month'],
                                                               row['snapshot_day'], file_partition_time,
                                                               'df.csv')
            df_test = df
            filter_df = df_test[(df_test['grid_id'] == row['grid_id'] &
                                 df_test['case_id'] == row['case_id'] &
                                 df_test['snapshot_year'] == row['snapshot_year'] &
                                 df_test['snapshot_month'] == row['snapshot_month'] &
                                 df_test['snapshot_day'] == row['snapshot_day'])]
            print(filter_df)

以下是错误：

Traceback (most recent call last):
  File "<input>", line 8, in <module>
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/ops.py", line 954, in wrapper
    na_op(self.values, other),
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/ops.py", line 924, in na_op
    raise TypeError(msg)
TypeError: cannot compare a dtyped [object] array with a scalar of type [bool]

KeyError: "['pjm' 'base' 2020 2 21] not in index"

Traceback (most recent call last):
  File "<input>", line 7, in <module>
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/frame.py", line 3164, in set_index
    frame.index = index
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/generic.py", line 3627, in __setattr__
    return object.__setattr__(self, name, value)
  File "pandas/_libs/properties.pyx", line 69, in pandas._libs.properties.AxisProperty.__set__
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/generic.py", line 559, in _set_axis
    self._data.set_axis(axis, labels)
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/internals.py", line 3074, in set_axis
    (old_len, new_len))
ValueError: Length mismatch: Expected axis has 130 elements, new values have 5 elements

以下是错误：

Traceback (most recent call last):
  File "<input>", line 8, in <module>
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/ops.py", line 954, in wrapper
    na_op(self.values, other),
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/ops.py", line 924, in na_op
    raise TypeError(msg)
TypeError: cannot compare a dtyped [object] array with a scalar of type [bool]

KeyError: "['pjm' 'base' 2020 2 21] not in index"

Traceback (most recent call last):
  File "<input>", line 7, in <module>
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/frame.py", line 3164, in set_index
    frame.index = index
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/generic.py", line 3627, in __setattr__
    return object.__setattr__(self, name, value)
  File "pandas/_libs/properties.pyx", line 69, in pandas._libs.properties.AxisProperty.__set__
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/generic.py", line 559, in _set_axis
    self._data.set_axis(axis, labels)
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/internals.py", line 3074, in set_axis
    (old_len, new_len))
ValueError: Length mismatch: Expected axis has 130 elements, new values have 5 elements

及

以下是错误：

Traceback (most recent call last):
  File "<input>", line 8, in <module>
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/ops.py", line 954, in wrapper
    na_op(self.values, other),
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/ops.py", line 924, in na_op
    raise TypeError(msg)
TypeError: cannot compare a dtyped [object] array with a scalar of type [bool]

KeyError: "['pjm' 'base' 2020 2 21] not in index"

Traceback (most recent call last):
  File "<input>", line 7, in <module>
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/frame.py", line 3164, in set_index
    frame.index = index
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/generic.py", line 3627, in __setattr__
    return object.__setattr__(self, name, value)
  File "pandas/_libs/properties.pyx", line 69, in pandas._libs.properties.AxisProperty.__set__
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/generic.py", line 559, in _set_axis
    self._data.set_axis(axis, labels)
  File "/local/workspace/FinBIPortal/env/RenewableEnergyValuationLambda-1.0/runtime/lib/python3.6/site-packages/pandas/core/internals.py", line 3074, in set_axis
    (old_len, new_len))
ValueError: Length mismatch: Expected axis has 130 elements, new values have 5 elements

回溯（最近一次呼叫最后一次）：
文件“”，第7行，在
文件“/local/workspace/FinBIPortal/env/renewablenergyvaluationlambda-1.0/runtime/lib/python3.6/site packages/pandas/core/frame.py”，第3164行，在集合索引中
frame.index=索引
文件“/local/workspace/FinBIPortal/env/renewablenergyvaluationlambda-1.0/runtime/lib/python3.6/site packages/pandas/core/generic.py”，第3627行，位于__
返回对象。\uuuu setattr\uuuuu（self、name、value）
文件“pandas/_libs/properties.pyx”，第69行，在pandas._libs.properties.AxisProperty.\uu\set中__
文件“/local/workspace/FinBIPortal/env/renewablenergyvaluationlambda-1.0/runtime/lib/python3.6/site packages/pandas/core/generic.py”，第559行，在集合轴中
自身数据。设置轴（轴、标签）
文件“/local/workspace/FinBIPortal/env/renewablenergyvaluationlambda-1.0/runtime/lib/python3.6/site packages/pandas/core/internals.py”，第3074行，在集合轴中
（旧的、新的）
ValueError:长度不匹配：预期轴有130个元素，新值有5个元素

这里有一个非常简单的解决方案。当您尝试

df[（…）&（…）]

时，根据多个条件进行筛选的格式为

df[（…）&（…）]

。将要设置的

filter\u df

的括号括起来