Figures now render in the Plots pane by default. To make them also appear inline in the Console, uncheck "Mute Inline Plotting" under the Plots pane options menu.解决办法

如果你想要在Console中直接显示图形，可以按照以下步骤操作：

1. 打开Plots pane。
2. 点击Plots pane右上角的选项菜单。
3. 取消"Mute Inline Plotting"的勾选。

这样就可以在Console中直接显示图形了。如果需要再次隐藏图形，只需要重新勾选"Mute Inline Plotting"即可。

相关问题

Shifts in China’s Rural and Urban Population: 2000-2020 The bar chart clearly reveals that from 2000 to 2020, while the total population in China increased moderately from 1.25 billion to 1.41 billion, population in urban and rural areas experienced dramatic shifts in different directions. Urban population rose from 450 million in 2000 to 670 million in 2010 and 900 million in 2020; contrastingly, rural population declined from 800 million in 2000 to 680 million in 2010 and 510 million in 2020. The population gap narrowed largely because of the joint effects of urbanization, unequal economic opportunities in rural and urban areas, and the expansion of higher education. In the first place, there was a large-scale urban sprawl during this period. Places which had been part of the vast countryside were incorporated into cities, causing hundreds of millions of rural dwellers to be passively transformed into urban residents. What’s more, while urban living standards improved greatly in these years, few economic opportunities fell on rural areas and most peasant families remained at the poverty line. Poverty prompted the call for change, leading a large quantity of healthy young peasants to leave their hometowns and flock to cities for a better living. Last but not least, China’s higher education grew at an unprecedented rate in these years. More high school graduates than ever before entered colleges and universities, most of whom preferred to stay in urban areas after graduation for personal development. The increase in urban population was a sure indication of economic and educational achievements in China. It benefited the country in many aspects, relieving the shortage of labor force in cities, lessening the burden of peasants to support their families, and affording young people from rural areas more opportunities to display their talents. However, the migration of rural residents into urban areas inevitably brought about disadvantages. Some of them, such as waste of arable land and left-behind children in the countryside, as well as traffic congestion and soaring housing prices in cities, have already called the attention of the government and corresponding measures have begun to take effect. But others, especially the inability of many peasants to integrate into urban life due to their lack of education and civilized habits, have long been neglected. In this sense, we cannot be satisfied with the superficially optimistic figures in the chart, but should endeavor to foster the integration of these newcomers by providing them with adequate assistance in educational and cultural aspects, so that they can find easier access to the prosperity and convenience of urban life and be more fully devoted to the development of cities.翻译成英文版两百单词左右的文章

The bar chart shows that from 2000 to 2020, while China's total population increased slightly from 1.25 billion to 1.41 billion, the population in urban and rural areas changed significantly. The urban population increased from 450 million in 2000 to 670 million in 2010 and 900 million in 2020, while the rural population decreased from 800 million in 2000 to 680 million in 2010 and 510 million in 2020.The population shift was largely caused by urbanization, unequal economic opportunities in urban and rural areas, and the expansion of higher education. Urban sprawl led to millions of people from rural areas becoming urban residents. In addition, living standards in cities improved at a faster rate than in rural areas, leading many people to migrate in search of better economic opportunities. Finally, the number of people entering universities and colleges increased dramatically, and most of them chose to stay in the cities after graduating.The increase in urban population was a sign of economic and educational progress in China, with multiple benefits such as an increased labor force in cities, less burden on rural families, and greater opportunities for young people from rural areas. However, it also brought some negative consequences, such as the loss of arable land, the abandonment of children in rural areas, traffic jams and skyrocketing housing prices. The government has taken action to address these issues, but the lack of education and poor living habits of many people from rural areas has often been overlooked.Therefore, we cannot be satisfied with the optimistic figures in the chart, but must work to ensure that those who migrate from rural to urban areas are properly integrated into city life. This can be achieved through providing educational and cultural assistance, so that they can take advantage of the convenience and prosperity of urban life and contribute to the development of cities.

runtimewarning: more than 20 figures have been opened. figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (to control this warning, see the rcparam `figure.max_op

### 回答1：
en_warning`)

这是一个运行时警告，意思是已经打开了超过20个图形。通过pyplot接口（`matplotlib.pyplot.figure`）创建的图形会一直保留，直到显式关闭，并可能消耗过多的内存。如果想控制这个警告，可以查看rcparam `figure.max_open_warning`。

### 回答2：
当您使用Python中的matplotlib.pyplot库来绘制图形时，如果您创建的图形超过20个，就会出现警告runtimewarning：more than 20 figures have been opened。这是因为通过pyplot接口创建的图形对象会一直存在，直到明确关闭，因此可能占用大量的内存，对于较大的数据集或长时间运行的脚本，这可能导致内存过度消耗。

要控制这个警告，您可以在代码中设置一些rcparams参数。特别是，您可以在rcparams中设置figure.max_open_warning参数，使其不显示runtimewarning。

对于大多数情况，您可以像下面这样简单地设置：

import matplotlib.pyplot as plt
plt.rcParams['figure.max_open_warning'] = 20 # 设置图形最大数为20

这将禁用关于打开的图形对象数量的警告。但是，如果您仍然需要创建更多的图形，那么你可以显式地将之前创建的图形对象关闭：

plt.close('all')

或者，如果您不希望关闭某个特定的图形对象，您可以使用subplot或axes对象：

fig, ax = plt.subplots() # 创建一个图形对象和一个axes对象
ax.plot([1, 2, 3], [4, 5, 6]) # 绘制图形
# 不需要时可以显式地关闭axes对象
plt.close(ax.figure) # 或者ax.figure.canvas.close()

总之，为了避免因图形对象过多导致内存不足，您可以通过在代码中设置rcparams参数控制警告的显示，或者显式地关闭之前创建的图形对象。

### 回答3：
这个警告是由于使用Matplotlib库中的pyplot接口创建了超过20个图，而这些图都没有被关闭，而且这些图可能占用太多的内存导致的。

pyplot是Matplotlib库的一个子模块，它提供了一种类似于MATLAB的绘图方式。当使用pyplot绘制图形时，每次调用绘图函数都会创建一个新的Figure窗口。如果这样的窗口不关闭，它们将一直存在于内存中，导致内存占用过高。

为了解决这个问题，我们需要手动关闭窗口，或者使用rc参数来控制最大打开的窗口数。在Matplotlib中存在一个名为“rcParams”的字典，使用它可以轻松配置Matplotlib的功能，以及对图像进行自定义设置。在该字典中，我们可以设置max_open_warning参数来控制打开的图形数量。例如，以下代码将允许同时打开30个图像：

import matplotlib.pyplot as plt
plt.rcParams['figure.max_open_warning'] = 30   # 设置最大数量为30

我们也可以手动关闭窗口，以确保不会创建太多的图形。可以使用plt.close()函数，它可以关闭最近创建的图形：

import matplotlib.pyplot as plt
for i in range(30):
    plt.plot(range(10), [n**2 for n in range(10)])
    plt.close()

这将创建30个图形并随即关闭它们，以确保没有太多的图形占用内存。