在Python的Pandas库中,某些函数或方法要求输入的数据源必须是DataFrame或映射(如字典)类型,而不能是Series类型。针对你遇到的问题“data source must be a dataframe or mapping, not <class 'pandas.core.series.Series'>”,我们可以通过以下几个步骤来解决: 1. 理解错误信息 错误信息表明,传递给函数或方法的数据...
计算总计时出现问题。 Dataframe 需要使用columnName作为索引。
<class 'pandas.core.frame.DataFrame'> >>> print(df) Name Age Sex 0 Braund, Mr. Owen Harris 22 male 1 Allen, Mr. William Henry 35 male 2 Bonnell, Miss. Elizabeth 58 female 2. df[col_name] or df.col_name - Operation to return a Series object representing data elements of the give...
如何从pandas.core.frame.Pandas元素列表构建 pandas DataFrame ? 说明问题的代码示例:我有下面的数据框:import pandas as pd df = pd.DataFrame({'col1': [1, 2], 'col2': [0.1, 0.2]}, index=['a', 'b']) col1 col2 a 1 0.1 b 2 0.2 ...
RuntimeError: Unable to cast Python instance of type <class 'pandas.core.frame.DataFrame'> to C++ type 'std::shared_ptrmorpheus::MessageMeta' Full env printout Click here to see environment details [Paste the results of print_env.sh here, it will be hidden by default] Other/Misc. No re...
Python 2.7 Pandas 0.18.1 Failed Python 3.5 Pandas 0.17.1 Passed Python 3.5 Pandas 0.18.1 Failed Python 3.5 Pandas 0.23.4 Failed I was able to get a result. On Pandas >=0.18.1 I got this error: ValueError: No axis named 1 for object type <class 'pandas.core.series.Series'> ...
ValueError: No axis named "type" for object type <class 'pandas.core.frame.DataFrame'>: jsonresult = df.groupby('name','type')['time','number'].agg(lambda x : x.tolist()).reset_index().to_json(orient='records') jsonresult 只有当我这样做时才有效 df.groupby('name') 或 df.gr...
这是因为在 sktime 依赖项中使用了来自 sklearn 的私有方法。由于 sklearn 更新为 1.1.0，这个私有...
Pandas v1.3将ABCIndexClass重命名为ABCIndex。pandas-profiling包的visions依赖项还没有跟上,因此当它找不到ABCIndexClass时会抛出一个错误。将pandas降级到1.2.x系列将解决此问题 pip install pandas==1.2 或
import pandas as pd import numpy as np df = pd.Series([1, '{1,2}', 1, None]) vc = df.value_counts(dropna=False) print(vc.loc[np.nan]) print(vc[np.nan]) TypeError: cannot do label indexing on <class 'pandas.core.indexes.base.Index'> with ...