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Method _initialize_x_y

lib/matplotlib/contour.py:1445–1484  ·  view source on GitHub ↗

Return X, Y arrays such that contour(Z) will match imshow(Z) if origin is not None. The center of pixel Z[i, j] depends on origin: if origin is None, x = j, y = i; if origin is 'lower', x = j + 0.5, y = i + 0.5; if origin is 'upper', x = j + 0.5, y =

(self, z)

Source from the content-addressed store, hash-verified

1443 return x, y, z
1444
1445 def _initialize_x_y(self, z):
1446 """
1447 Return X, Y arrays such that contour(Z) will match imshow(Z)
1448 if origin is not None.
1449 The center of pixel Z[i, j] depends on origin:
1450 if origin is None, x = j, y = i;
1451 if origin is 'lower', x = j + 0.5, y = i + 0.5;
1452 if origin is 'upper', x = j + 0.5, y = Nrows - i - 0.5
1453 If extent is not None, x and y will be scaled to match,
1454 as in imshow.
1455 If origin is None and extent is not None, then extent
1456 will give the minimum and maximum values of x and y.
1457 """
1458 if z.ndim != 2:
1459 raise TypeError(f"Input z must be 2D, not {z.ndim}D")
1460 elif z.shape[0] < 2 or z.shape[1] < 2:
1461 raise TypeError(f"Input z must be at least a (2, 2) shaped array, "
1462 f"but has shape {z.shape}")
1463 else:
1464 Ny, Nx = z.shape
1465 if self.origin is None: # Not for image-matching.
1466 if self.extent is None:
1467 return np.meshgrid(np.arange(Nx), np.arange(Ny))
1468 else:
1469 x0, x1, y0, y1 = self.extent
1470 x = np.linspace(x0, x1, Nx)
1471 y = np.linspace(y0, y1, Ny)
1472 return np.meshgrid(x, y)
1473 # Match image behavior:
1474 if self.extent is None:
1475 x0, x1, y0, y1 = (0, Nx, 0, Ny)
1476 else:
1477 x0, x1, y0, y1 = self.extent
1478 dx = (x1 - x0) / Nx
1479 dy = (y1 - y0) / Ny
1480 x = x0 + (np.arange(Nx) + 0.5) * dx
1481 y = y0 + (np.arange(Ny) + 0.5) * dy
1482 if self.origin == 'upper':
1483 y = y[::-1]
1484 return np.meshgrid(x, y)
1485
1486
1487_docstring.interpd.register(contour_doc="""

Callers 1

_contour_argsMethod · 0.95

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