Python 3 matplotlib不支持生成器作为输入。
Python 3 matplotlib不支持生成器作为输入。
提问于 2022-06-21 20:13:50
我对Python相当陌生，我花了几个小时才弄明白我能做什么却没有成功。我正在尝试一个从https://jupyter.brynmawr.edu/services/public/dblank/jupyter.cs/FLAIRS-2015/TSPv3.ipynb#Python-and-iPython-Notebook:-Preliminaries绘图的例子。在“绘图旅游”一节，标记为15,16,17,18等单元。plot_tour和plot_lines的函数使用map()，我在Python3中看到它是一个生成器，而不是一个列表。这让人感到困惑，所以有没有其他方法可以输出这个情节呢？它可能不使用map()。提前谢谢你。
第一个绘图代码：
def plot_tour(tour):
"Plot the cities as circles and the tour as lines between them."
plot_lines(list(tour) + [tour[0]])
def plot_lines(points, style='bo-'):
"Plot lines to connect a series of points."
plt.plot(map(X, points), map(Y, points), style)
plt.axis('scaled'); plt.axis('off')
plot_tour(alltours_tsp(Cities(8)))这是我得到的错误：
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
Input In [18], in <cell line: 1>()
----> 1 plot_tour(alltours_tsp(Cities(8)))
Input In [17], in plot_tour(tour)
1 def plot_tour(tour):
2 "Plot the cities as circles and the tour as lines between them."
----> 3 plot_lines(list(tour) + [tour[0]])
Input In [17], in plot_lines(points, style)
5 def plot_lines(points, style='bo-'):
6 "Plot lines to connect a series of points."
----> 7 plt.plot(map(X, points), map(Y, points), style)
8 plt.axis('scaled'); plt.axis('off')
File ~\anaconda3\lib\site-packages\matplotlib\pyplot.py:2757, in plot(scalex, scaley, data, *args, **kwargs)
2755 @_copy_docstring_and_deprecators(Axes.plot)
2756 def plot(*args, scalex=True, scaley=True, data=None, **kwargs):
-> 2757 return gca().plot(
2758 *args, scalex=scalex, scaley=scaley,
2759 **({"data": data} if data is not None else {}), **kwargs)
File ~\anaconda3\lib\site-packages\matplotlib\axes\_axes.py:1632, in Axes.plot(self, scalex, scaley, data, *args, **kwargs)
1390 """
1391 Plot y versus x as lines and/or markers.
1392
(...)
1629 (``'green'``) or hex strings (``'#008000'``).
1630 """
1631 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
-> 1632 lines = [*self._get_lines(*args, data=data, **kwargs)]
1633 for line in lines:
1634 self.add_line(line)
File ~\anaconda3\lib\site-packages\matplotlib\axes\_base.py:312, in _process_plot_var_args.__call__(self, data, *args, **kwargs)
310 this += args[0],
311 args = args[1:]
--> 312 yield from self._plot_args(this, kwargs)
File ~\anaconda3\lib\site-packages\matplotlib\axes\_base.py:493, in _process_plot_var_args._plot_args(self, tup, kwargs, return_kwargs)
490 x, y = index_of(xy[-1])
492 if self.axes.xaxis is not None:
--> 493 self.axes.xaxis.update_units(x)
494 if self.axes.yaxis is not None:
495 self.axes.yaxis.update_units(y)
File ~\anaconda3\lib\site-packages\matplotlib\axis.py:1443, in Axis.update_units(self, data)
1437 def update_units(self, data):
1438 """
1439 Introspect *data* for units converter and update the
1440 axis.converter instance if necessary. Return *True*
1441 if *data* is registered for unit conversion.
1442 """
-> 1443 converter = munits.registry.get_converter(data)
1444 if converter is None:
1445 return False
File ~\anaconda3\lib\site-packages\matplotlib\units.py:206, in Registry.get_converter(self, x)
202 else:
203 # ... and avoid infinite recursion for pathological iterables for
204 # which indexing returns instances of the same iterable class.
205 if type(first) is not type(x):
--> 206 return self.get_converter(first)
207 return None
File ~\anaconda3\lib\site-packages\matplotlib\units.py:199, in Registry.get_converter(self, x)
197 pass
198 try: # If cache lookup fails, look up based on first element...
--> 199 first = cbook.safe_first_element(x)
200 except (TypeError, StopIteration):
201 pass
File ~\anaconda3\lib\site-packages\matplotlib\cbook\__init__.py:1678, in safe_first_element(obj)
1676 except TypeError:
1677 pass
-> 1678 raise RuntimeError("matplotlib does not support generators "
1679 "as input")
1680 return next(iter(obj))
RuntimeError: matplotlib does not support generators as input下一个情节代码：
def plot_tsp(algorithm, cities):
"Apply a TSP algorithm to cities, plot the resulting tour, and print information."
# Find the solution and time how long it takes
t0 = time.clock()
tour = algorithm(cities)
t1 = time.clock()
assert valid_tour(tour, cities)
plot_tour(tour); plt.show()
print("{} city tour with length {:.1f} in {:.3f} secs for {}"
.format(len(tour), tour_length(tour), t1 - t0, algorithm.__name__))
def valid_tour(tour, cities):
"Is tour a valid tour for these cities?"
return set(tour) == set(cities) and len(tour) == len(cities)
plot_tsp(alltours_tsp, Cities(8))这是我得到的错误：
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
Input In [23], in <cell line: 1>()
----> 1 plot_tsp(alltours_tsp, Cities(8))
Input In [22], in plot_tsp(algorithm, cities)
6 t1 = time.perf_counter()
7 assert valid_tour(tour, cities)
----> 8 plot_tour(tour); plt.show()
9 print("{} city tour with length {:.1f} in {:.3f} secs for {}"
10 .format(len(tour), tour_length(tour), t1 - t0, algorithm.__name__))
Input In [17], in plot_tour(tour)
1 def plot_tour(tour):
2 "Plot the cities as circles and the tour as lines between them."
----> 3 plot_lines(list(tour) + [tour[0]])
Input In [17], in plot_lines(points, style)
5 def plot_lines(points, style='bo-'):
6 "Plot lines to connect a series of points."
----> 7 plt.plot(map(X, points), map(Y, points), style)
8 plt.axis('scaled'); plt.axis('off')
File ~\anaconda3\lib\site-packages\matplotlib\pyplot.py:2757, in plot(scalex, scaley, data, *args, **kwargs)
2755 @_copy_docstring_and_deprecators(Axes.plot)
2756 def plot(*args, scalex=True, scaley=True, data=None, **kwargs):
-> 2757 return gca().plot(
2758 *args, scalex=scalex, scaley=scaley,
2759 **({"data": data} if data is not None else {}), **kwargs)
File ~\anaconda3\lib\site-packages\matplotlib\axes\_axes.py:1632, in Axes.plot(self, scalex, scaley, data, *args, **kwargs)
1390 """
1391 Plot y versus x as lines and/or markers.
1392
(...)
1629 (``'green'``) or hex strings (``'#008000'``).
1630 """
1631 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
-> 1632 lines = [*self._get_lines(*args, data=data, **kwargs)]
1633 for line in lines:
1634 self.add_line(line)
File ~\anaconda3\lib\site-packages\matplotlib\axes\_base.py:312, in _process_plot_var_args.__call__(self, data, *args, **kwargs)
310 this += args[0],
311 args = args[1:]
--> 312 yield from self._plot_args(this, kwargs)
File ~\anaconda3\lib\site-packages\matplotlib\axes\_base.py:493, in _process_plot_var_args._plot_args(self, tup, kwargs, return_kwargs)
490 x, y = index_of(xy[-1])
492 if self.axes.xaxis is not None:
--> 493 self.axes.xaxis.update_units(x)
494 if self.axes.yaxis is not None:
495 self.axes.yaxis.update_units(y)
File ~\anaconda3\lib\site-packages\matplotlib\axis.py:1443, in Axis.update_units(self, data)
1437 def update_units(self, data):
1438 """
1439 Introspect *data* for units converter and update the
1440 axis.converter instance if necessary. Return *True*
1441 if *data* is registered for unit conversion.
1442 """
-> 1443 converter = munits.registry.get_converter(data)
1444 if converter is None:
1445 return False
File ~\anaconda3\lib\site-packages\matplotlib\units.py:206, in Registry.get_converter(self, x)
202 else:
203 # ... and avoid infinite recursion for pathological iterables for
204 # which indexing returns instances of the same iterable class.
205 if type(first) is not type(x):
--> 206 return self.get_converter(first)
207 return None
File ~\anaconda3\lib\site-packages\matplotlib\units.py:199, in Registry.get_converter(self, x)
197 pass
198 try: # If cache lookup fails, look up based on first element...
--> 199 first = cbook.safe_first_element(x)
200 except (TypeError, StopIteration):
201 pass
File ~\anaconda3\lib\site-packages\matplotlib\cbook\__init__.py:1678, in safe_first_element(obj)
1676 except TypeError:
1677 pass
-> 1678 raise RuntimeError("matplotlib does not support generators "
1679 "as input")
1680 return next(iter(obj))
RuntimeError: matplotlib does not support generators as input回答 1
Stack Overflow用户
回答已采纳
发布于 2022-06-21 20:38:34
我怀疑这个笔记本是为早期版本的python和软件包制作的。所以你才有这么多问题。我建议跟踪本课程中使用的python和包版本的一些规范。然而，我确实得到了大量的笔记本电脑运行这些变化：
def plot_lines(points, style='bo-'):
"Plot lines to connect a series of points."
plt.plot(list(map(X, points)), list(map(Y, points)), style)
plt.axis('scaled'); plt.axis('off')稍后，应该将time.time()替换为perf_counter()。
def plot_tsp(algorithm, cities):
"Apply a TSP algorithm to cities, plot the resulting tour, and print information."
# Find the solution and time how long it takes
t0 = time.perf_counter()
tour = algorithm(cities)
t1 = time.perf_counter()
assert valid_tour(tour, cities)
plot_tour(tour); plt.show()
print("{} city tour with length {:.1f} in {:.3f} secs for {}"
.format(len(tour), tour_length(tour), t1 - t0, algorithm.__name__))def benchmark(function, inputs):
"Run function on all the inputs; return pair of (average_time_taken, results)."
t0 = time.perf_counter()
results = map(function, inputs)
t1 = time.perf_counter()
average_time = (t1 - t0) / len(inputs)
return (average_time, results)然而，还有一些其他的改变需要在笔记本上做进一步的修改。benchmark函数和USA big map url请求有问题。不过，您确实应该考虑挖掘包版本。
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/72706616
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