Implemented APIs

1. Pandas

• DataFrame
  • pd.DataFrame(NDArray data, IList<string> index, IList<string> columns, Type dtype)
  • pd.DataFrame<TIndex>(NDArray data, IList<TIndex> index, IList<string> columns, Type dtype)
  • pd.DataFrame(IDictionary<string, NDArray> data, IList<string> index)
  • pd.DataFrame<TIndex>(IDictionary<string, NDArray> data, IList<TIndex> index)
• Series
  • pd.Series(NDArray data)
  • pd.Series(Array data)
  • pd.Series<T>(T data)

2. Series

• s.iloc[0]: Select data by index

• s.loc["index_label"]： Select data by index label

3. DataFrame

Structure

• df.Index
• df.Columns
• df.Values
• df.Shape
• df.NDIM
• df.Size

Method

• df[0]： Select data by column index （returns Series）

• df[params int[] columnIndexs] : Select data by column index （returns DataFrame）

• df["column_label"]： Select data by column label （returns Series）; accessible set accessor increase column （if the column label does not exist）

• df[params string[] columnLabels]： Select data by column label （returns DataFrame）

• df.Column(string columnLabel, NDArray value): Set the column and its value; create when the column does not exist

• df.Column(int columnIndex, NDArray value): Set the column and the value of the column; when the column does not exist, an exception is reported

• df[Slice s]: Row slice selection data

• df.loc["index_label"]： Select data by row index label

• df.loc["index_label", "column_label"]： Select data by row and column labels

• df.iloc[0]： Index by row （row number） select data

Libraries

• Math.NET Numerics
  • MIT License