python - 在 Pandas 中合并数据帧抛出 'AssertionError: cannot create BlockManager._ref_locs'

Question

我正在尝试将多个文件从 csv 导入到单个 DataFrame 中，但在尝试添加第三个 DataFrame 时出现以下错误>.

AssertionError: cannot create BlockManager._ref_locs because block [ObjectBlock: [CompletionDate, Categories, DateEntered_x, <lots more columns here>...], dtype=object)] does not have _ref_locs set

代码是:

project = pandas.read_csv(read_csv('dbo_Project.csv')
project = pandas.read_csv(read_csv('dbo_ProjectEnergy.csv')
project = pandas.read_csv(read_csv('dbo_BuildingDescription.csv')
part_merged = pandas.merge(project, project_energy,
    on='ProjectID',
    how='outer')
part_merged = pandas.merge(part_merged, project_energy_data,
    on='ProjectEnergyID',
    how='outer')
part_merged = pandas.merge(part_merged, building_description,
    on='ProjectEnergyID',
    how='outer')

我应该如何加入这些 DataFrames 来避免这个问题？

根据 Stefan Jansen 的回答编辑:

到新错误发生点为止的新代码是:

project = pandas.read_csv(read_csv('dbo_Project.csv')
project = pandas.read_csv(read_csv('dbo_ProjectEnergy.csv')
part_merged = pandas.concat([project, project_energy],
    axis=1,
    join='outer')
part_merged.set_index(['ProjectEnergyID'])
part_merged = pandas.concat([self.part_merged,
    project_energy_data],
    axis=1,
    join='outer')

Answer 1

一个很好的简单答案。

问题是列重复。导致问题的列并不重要，因此我在合并之前删除了它们。

def remove_clashes(df):
    unwanted_cols = ['DataCompleteness', 'DeletedFlag','DateEntered', 'EnteredBy',
        'LastModified', 'MandatoryDataInput', 'ModifiedBy']
    return df.drop([col for col in unwanted_cols if col in df.columns], axis=1)