Question

我有一个很大的数据框，希望根据另一列（不是索引）的值来更改特定行中一列的值。

我可以针对单个实例执行此操作，我希望能够针对一定范围的值进行操作。

import pandas as pd

INDEX = list(range(1, 11))
LOCATIONS = [3, 10, 6, 2, 9, 1, 7, 5, 8, 4]
DATA = [294, 143, 385, 110, 281, 157, 188, 501, 135, 186]
# Make dataframe
DF = pd.DataFrame(LOCATIONS, columns=['locStuff'], index = INDEX)
DF['data'] = pd.Series(DATA, index=INDEX)

# Location and new value inputs
LOC_TO_CHANGE = 8
NEW_LOC_VALUE = 9

# Changing the value in the dataframe
LOC_IND_TO_ADJUST = DF.index[DF['locStuff'] == LOC_TO_CHANGE].tolist()
LOC_IND_TO_ADJUST_INT = LOC_IND_TO_ADJUST[0]
DF.iloc[LOC_IND_TO_ADJUST_INT -1, 1] = ('%03d' % NEW_LOC_VALUE)

我想输入locStuff [3：6] =来自另一个列表的数据，该列表的长度与间隔3：6相同。我希望更改locStuff列中的位置的dataframe'data'列的内容。

Answer 1

我相信您需要：

var filterStageA = PipelineStageDefinitionBuilder.Match(someFilterA);
  var filterStageB = PipelineStageDefinitionBuilder.Match(someFilterB);           
  var filterPepilineA = PipelineDefinition<Entity, Entity>.Create(new IPipelineStageDefinition[] { filterStageA });
  var filterPepilineB = PipelineDefinition<Entity, Entity>.Create(new IPipelineStageDefinition[] { filterStageB });
  var filterFacetA = AggregateFacet.Create("A_Result", filterPepilineA );
            var filterFacetB = AggregateFacet.Create("B_Result", filterPepilineB );
            var res = collection.Aggregate().Facet(filterFacetA , filterFacetB );

有没有一种方法可以使用数据帧内容作为索引来更改数据帧内容的范围？

1 个答案: