- 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)
-
s.iloc[0]
: Select data by index -
s.loc["index_label"]
: Select data by index label
- df.Index
- df.Columns
- df.Values
- df.Shape
- df.NDIM
- df.Size
-
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); accessibleset
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