(x)
| 247 | """ |
| 248 | |
| 249 | def mercator(x): |
| 250 | return np.arcsinh(np.tan(x * np.pi / 180.0)) * 180.0 / np.pi |
| 251 | |
| 252 | array = np.atleast_3d(data).copy() |
| 253 | height, width, nblayers = array.shape |
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