public static NDArrayGeneric <T> sin <T>(this NumPyGeneric <T> np, NDArrayGeneric <T> nd)
{
NDArrayGeneric <T> sinArray = new NDArrayGeneric <T>();
sinArray.Data = new T[nd.Size];
sinArray.Shape = new Shape(nd.Shape.Shapes);
for (int idx = 0; idx < nd.Size; idx++)
{
switch (nd[idx])
{
case double d:
sinArray[idx] = (T)(object)Math.Sin(d);
break;
case float d:
sinArray[idx] = (T)(object)Math.Sin(d);
break;
case Complex d:
sinArray[idx] = (T)(object)Complex.Sin(d);
break;
}
}
return(sinArray);
}
public static NDArrayGeneric <T> array <T>(this NumPyGeneric <T> np, IEnumerable <T> array, int ndim = 1)
{
var nd = new NDArrayGeneric <T>();
nd.Data = array.ToArray();
nd.Shape = new Shape(new int[] { nd.Data.Length });
return(nd);
}
public static NDArrayGeneric <Byte> array <T>(this NumPyGeneric <T> np, System.Drawing.Bitmap image)
{
NDArrayGeneric <Byte> imageArray = new NDArrayGeneric <Byte>();
var bmpd = image.LockBits(new System.Drawing.Rectangle(0, 0, image.Width, image.Height), System.Drawing.Imaging.ImageLockMode.ReadOnly, image.PixelFormat);
var dataSize = bmpd.Stride * bmpd.Height;
imageArray.Data = new byte[dataSize];
System.Runtime.InteropServices.Marshal.Copy(bmpd.Scan0, imageArray.Data, 0, imageArray.Data.Length);
image.UnlockBits(bmpd);
imageArray.Shape = new Shape(new int[] { bmpd.Height, bmpd.Width, System.Drawing.Image.GetPixelFormatSize(image.PixelFormat) / 8 });
return(imageArray);
}
/// <summary>
/// Return a new array of given shape and type, filled with ones.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="np"></param>
/// <param name="shape"></param>
/// <returns></returns>
public static NDArrayGeneric <T> ones <T>(this NumPyGeneric <T> np, Shape shape)
{
var nd = new NDArrayGeneric <T>();
nd.Shape = shape;
switch (default(T))
{
case int data:
nd.Data = Enumerable.Range(0, nd.Size).Select(x => (T)(object)1).ToArray();
break;
case double data:
nd.Data = Enumerable.Range(0, nd.Size).Select(x => (T)(object)1.0).ToArray();
break;
}
return(nd);
}
public static NDArrayGeneric <T> array <T>(this NumPyGeneric <T> np, T[][] data)
{
int size = data.Length * data[0].Length;
var all = new T[size];
int idx = 0;
for (int row = 0; row < data.Length; row++)
{
for (int col = 0; col < data[row].Length; col++)
{
all[idx] = data[row][col];
idx++;
}
}
var n = new NDArrayGeneric <T>();
n.Data = all;
n.Shape = new Shape(new int[] { data.Length, data[0].Length });
return(n);
}
public static NDArrayGeneric <NDArrayGeneric <T> > sin <T>(this NumPyGeneric <T> np, NDArrayGeneric <NDArrayGeneric <T> > nd)
{
var sinArray = new NDArrayGeneric <NDArrayGeneric <T> >();
sinArray.Data = new NDArrayGeneric <T> [nd.Size];
sinArray.Shape = new Shape(nd.Shape.Shapes);
for (int idx = 0; idx < nd.Size; idx++)
{
switch (default(T))
{
case double d:
sinArray[idx] = new NDArrayGeneric <T>
{
Data = new T[] { (T)(object)Math.Sin(d) },
Shape = new Shape(1)
};
break;
}
}
return(sinArray);
}
public static NDArrayGeneric <T> asarray <T>(this NumPyGeneric <T> np, IEnumerable <T> array, int ndim = 1)
{
return(np.array(array));
}
public static NDArrayGeneric <T> ones_like <T>(this NumPyGeneric <T> np, NDArrayGeneric <T> nd, string order = "C")
{
return(np.ones(new Shape(nd.Shape.Shapes)));
}