![]() ![]() It is similar to concatenation along the axis 1 after 1-Dimensional arrays of (N) shape have been reshaped to the format (1,N). Append: You can append the array using the following syntax: array1.append (newobjects) Print the list to view the output: Enter the print command to view. ![]() 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. In python, numpy.vstack () is a function that helps to stack the input array sequence vertically in order to create a single array.
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