/// <summary>
///
/// </summary>
/// <param name="pd"></param>
/// <param name="data"></param>
/// <param name="index"></param>
/// <returns></returns>
public static SeriesBase Series <T>(this Pandas pd, T[] data, IDataIndex index = null)
where T : struct
{
Series series = new Series(data)
{
Index = index
};
return(series);
}
public static SeriesBase Series <T>(this Pandas pd, T data, IDataIndex index = null)
{
Series res = null;
Type type = data.GetType();
var properties = type.GetProperties();
var nd = properties.Select(x => x.GetValue(data)).ToArray();
res = new Series(nd)
{
Index = new DataIndex(properties.Select(x => x.Name).ToArray())
};
return(res);
}
public static SeriesBase Series <T>(this Pandas pd, T data)
{
if (data is Array)
{
return(pd.Series(data as Array));
}
Type type = data.GetType();
var properties = type.GetProperties();
var nd = properties.Select(x => x.GetValue(data)).ToArray();
Series res = new Series(new NDArray(nd))
{
Index = new DataIndex(properties.Select(x => x.Name).ToArray())
};
return(res);
}
public static IDataFrame DataFrame <T>(this Pandas pd, IList <T> data, IList <string> index = null)
{
var type = typeof(T);
if (type.FullName == "System.Object")
{
type = data[0].GetType();
}
var props = type.GetProperties();
var columnSize = props.Count();
var rowSize = data.Count();
var nd = new NDArray(typeof(object), new Shape(rowSize, columnSize));
for (var i = 0; i < rowSize; i++)
{
for (var p = 0; p < columnSize; p++)
{
nd[i, p] = props[p].GetValue(data[i]);
}
}
return(pd.DataFrame(nd, index, props.Select(x => x.Name).ToArray(), typeof(object)));
}
public static IDataFrame DataFrame <TIndex>(this Pandas pd, IDictionary <string, NDArray> data, IList <TIndex> index = null)
{
return(new DataFrame <TIndex>(data, index));
}
public static IDataFrame DataFrame(this Pandas pd, IDictionary <string, NDArray> data, IList <string> index = null)
{
return(pd.DataFrame <string>(data, index));
}
public static IDataFrame DataFrame(this Pandas pd, NDArray data, IList <string> index, IList <string> columns, Type dtype)
{
return(pd.DataFrame <string>(data, index, columns, dtype));
}
public static SeriesBase Series(this Pandas pd, NDArray data)
{
Series series = new Series(data);
return(series);
}
/// <summary>
/// Read a comma-separated values (csv) file into DataFrame.
/// </summary>
/// <param name="pd"></param>
/// <param name="filepath_or_buffer"></param>
/// <param name="sep"></param>
/// <param name="names"></param>
/// <returns></returns>
public static IDataFrame read_csv(this Pandas pd, string filepath, string sep = ",", string[] names = null)
{
throw new NotImplementedException();
}