F is just a two-element array and you are trying to assign arrays to each of its two elements (Hence the error 'setting an array element with a sequence'). arange, ones, zeros, etc. You can find out why numpy is giving you an error by placing a print x on the first line of your Ffunc. Most of the following examples show the use of indexing when referencing data in an array. There are different kinds of indexing available depending on obj : basic indexing, advanced indexing and field access. lists and tuples) Intrinsic NumPy array creation functions (e.g. ndarrays can be indexed using the standard Python x obj syntax, where x is the array and obj the selection. That way, we can use ax1 instead of the more verbose axs0. In this case, setting maxdf to a higher value, such as in the range (0.7. And Dimension 0 which is the first dimension the way we order it is the last dimension we added which is here the fact that there are two of these 2D matrices. Parameters: objectarraylike An array, any object exposing the array interface, an object whose array method returns an array, or any (nested) sequence. Introduction There are 6 general mechanisms for creating arrays: Conversion from other Python structures (i.e. When stacking in one direction only, the returned axs is a 1D numpy array containing the. CountVectorizer: Topic extraction with Non-negative Matrix Factorization and. In : x = arange ( 5 ) In : y = array (]) In : figure () Out: In : plot ( x, y ) - ValueError Traceback (most recent call last) in () -> 1 plot(x, y) /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyc in plot(*args, **kwargs) 2284 ax.hold(hold) 2285 try: -> 2286 ret = ax.plot(*args, **kwargs) 2287 draw_if_interactive() 2288 finally: /usr/lib64/python2.7/site-packages/matplotlib/axes.pyc in plot(self, *args, **kwargs) 3783 lines = 3784 -> 3785 for line in self._get_lines(*args, **kwargs): 3786 self.add_line(line) 3787 lines.append(line) /usr/lib64/python2.7/site-packages/matplotlib/axes.pyc in _grab_next_args(self, *args, **kwargs) 315 return 316 if len(remaining) 317 for seg in self._plot_args(remaining, kwargs): 318 yield seg 319 return /usr/lib64/python2.7/site-packages/matplotlib/axes.pyc in _plot_args(self, tup, kwargs) 292 x = np.arange(y.shape, dtype=float) 293 -> 294 x, y = self._xy_from_xy(x, y) 295 296 if mand = 'plot': /usr/lib64/python2.7/site-packages/matplotlib/axes.pyc in _xy_from_xy(self, x, y) 232 y = np.atleast_1d(y) 233 if x.shape != y.shape: -> 234 raise ValueError("x and y must have same first dimension") 235 if x.ndim > 2 or y. numpy.array numpy.array numpy.array(object, dtypeNone,, copyTrue, order'K', subokFalse, ndmin0, likeNone) Create an array. Set the type for each column dtype ('x', float), ('y', float), ('z', float), ('vof', float) tosort np.array (tosort, dtype dtype) I have tried to change the dtype from float to object, but this makes the function going into a huge infinite loop.
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