blocks|key|1185712|text|看看matplotlib，一个用于Python的2D绘图库。对于您的代码，这可能有效：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1185713|import+matplotlib.pyplot+as+plt+#+I+include+a+module+which+contains+the+plotting+functionality+I+need:+https://docs.python.org/2/tutorial/modules.html
plt.plot(X_cord,+++#+here+go+the+X+coordinates
+++++++++Y_cord,+++#+here+go+the+Y+coordinates
+++++++++marker='x',+#+as+I'm+plotting+only+one+point+here,+I'd+like+to+make+it+extra+visible
+++++++++markersize=10+#+by+choosing+a+nice+marker+shape+('x')+and+large+size
+++++++++)
plt.show()+#+this+shows+the+current+plot+in+a+pop-up+window|code-block|syntax|javascript|1185714|如果要立即将该数字保存为图像，还可以选择将最后一行替换为|1185715|plt.savefig("my_first_plot.pdf",+bbox_inches='tight')
plt.close()|1185716|编辑:我把它写得更详细了，但是主要的建议是更好地了解Python+(+web上的大量教程，这里不是它的位置)，如果您想了解更多关于绘图的知识，可以阅读matplotlib文档。希望这会有所帮助，或者随意发布你遇到的具体问题。|1185717|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.org/^0|2|A|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@$A|X|B|Y|1|Z]]|C|$]]|$1|D|3|E|5|F|7|10|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|11|8|@]|9|@]|C|$]]|$1|K|3|L|5|F|7|12|8|@]|9|@]|C|$G|H]]|$1|M|3|N|5|6|7|13|8|@]|9|@]|C|$]]|$1|O|3|-4|5|6|7|14|8|@]|9|@]|C|$]]]|P|$Q|$5|R|S|T|C|$U|V]]]]

Have a look at <a href="http://matplotlib.org" rel="nofollow noreferrer">matplotlib</a>, a 2D plotting library for Python. 
For your code, this could work: 

<pre><code>import matplotlib.pyplot as plt # I include a module which contains the plotting functionality I need: https://docs.python.org/2/tutorial/modules.html
plt.plot(X_cord, # here go the X coordinates
 Y_cord, # here go the Y coordinates
 marker='x', # as I'm plotting only one point here, I'd like to make it extra visible
 markersize=10 # by choosing a nice marker shape ('x') and large size
 )
plt.show() # this shows the current plot in a pop-up window
</code></pre>

If you would like to immediately save the figure as an image, you can also choose to replace the last line by

<pre><code>plt.savefig("my_first_plot.pdf", bbox_inches='tight')
plt.close()
</code></pre>

Edit: I spelled it out a bit more, but the main suggestion is to get to know Python better (ample tutorials on the web, this is not the place for it) and to read the matplotlib documentation if you want to know more about plotting. Hope this helps, or feel free to post specific problems you are having.

blocks|key|1185740|text|在您的示例中，添加以下导入：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1185741|from+matplotlib+import+pyplot+as+plt|offset|length|style|CODE|1185742|在读取用户的X和Y坐标后，将其添加到末尾：|1185743|X_cord+=+float(+X_cord+)
Y_cord+=+float(+Y_cord+)
plt.scatter(+X_cord,+Y_cord+)
plt.show()|code-block|syntax|javascript|1185744|希望这能给你你想要的，一个简单的点。|1185745|如果您想要更多的东西，请查看plt.plot中的行图。|1185746|如果您想要更高级的绘图，我建议列一个值列表，而不是从用户那里询问单位值。|1185747|entityMap^0|0|0|10|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|X|8|@$D|Y|E|Z|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|10|8|@]|9|@]|A|$]]|$1|J|3|K|5|L|7|11|8|@]|9|@]|A|$M|N]]|$1|O|3|P|5|6|7|12|8|@]|9|@]|A|$]]|$1|Q|3|R|5|6|7|13|8|@]|9|@]|A|$]]|$1|S|3|T|5|6|7|14|8|@]|9|@]|A|$]]|$1|U|3|-4|5|6|7|15|8|@]|9|@]|A|$]]]|V|$]]

In your case, add the following import:

<code>from matplotlib import pyplot as plt</code>

and add this at the end after reading in X and Y coordinates from the user:

<pre><code>X_cord = float( X_cord )
Y_cord = float( Y_cord )
plt.scatter( X_cord, Y_cord )
plt.show()
</code></pre>

This hopefully gives you what you want, a simple point plotted.

If you want something more, look into plt.plot for line plots.

If you want more advanced plotting, I suggest making a list of values instead of asking of unit values from user.

blocks|key|15442|text|python有不同的绘图库，如matplotlib、seaborn等。但使用最广泛的是matplotlib。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|15443|最好是检查和阅读他们的文件。|15444|Matplotlib：|15445|import+matplotlib.pyplot+as+plt

x+=+[x_coordination]
y+=+[y_coordination]
plt.plot(x,+y)|code-block|syntax|javascript|15446|海运：|15447|import+seaborn+as+sb

x+=+[x_coordination]
y+=+[y_coordination]
sb.pointplot(x,+y)|15448|这些代码可以生成简单的图形，但是，为了显示图形，您应该在代码下面写这一行。|15449|plt.show()|15450|这是在图上绘制点的最简单的方法。|15451|有关更多细节，建议阅读文档。|15452|例如：|15453|plt.plot(x,+y,+marker="*",+markersize=2,+color="green")|15454|或|15455|sb.pointplot(x,+y,+markers="*",+color="r")|15456|entityMap^0|0|0|0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|16|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|17|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|18|8|@]|9|@]|A|$]]|$1|F|3|G|5|H|7|19|8|@]|9|@]|A|$I|J]]|$1|K|3|L|5|6|7|1A|8|@]|9|@]|A|$]]|$1|M|3|N|5|H|7|1B|8|@]|9|@]|A|$I|J]]|$1|O|3|P|5|6|7|1C|8|@]|9|@]|A|$]]|$1|Q|3|R|5|H|7|1D|8|@]|9|@]|A|$I|J]]|$1|S|3|T|5|6|7|1E|8|@]|9|@]|A|$]]|$1|U|3|V|5|6|7|1F|8|@]|9|@]|A|$]]|$1|W|3|X|5|6|7|1G|8|@]|9|@]|A|$]]|$1|Y|3|Z|5|H|7|1H|8|@]|9|@]|A|$I|J]]|$1|10|3|11|5|6|7|1I|8|@]|9|@]|A|$]]|$1|12|3|13|5|H|7|1J|8|@]|9|@]|A|$I|J]]|$1|14|3|-4|5|6|7|1K|8|@]|9|@]|A|$]]]|15|$]]

python has different libraries for plotting such as matplotlib, seaborn and so on.
But the most widely used is matplotlib.

It is better to check and read their documentation.

Matplotlib:

<pre><code>import matplotlib.pyplot as plt

x = [x_coordination]
y = [y_coordination]
plt.plot(x, y)
</code></pre>

Seaborn:

<pre><code>import seaborn as sb

x = [x_coordination]
y = [y_coordination]
sb.pointplot(x, y)
</code></pre>

these codes make your simple graph but, for showing your graph you should write this line below your codes.

<pre><code>plt.show()
</code></pre>

This was the simplest way to plot a point on a graph.

For more details it is recommended to read the documentation.

For example:

<pre><code>plt.plot(x, y, marker="*", markersize=2, color="green")
</code></pre>

or

<pre><code>sb.pointplot(x, y, markers="*", color="r")
</code></pre>

blocks|key|1185873|text|如果您正在寻找更简单的东西，您可以尝试https://quickchart.io/，它工作得很好。它生成一个URL，或者您可以保存一个图像。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1185874|您可以在这里看到一个关于天气数据的完整示例：https://pythonhowtoprogram.com/get-weather-forecasts-and-show-it-on-a-chart-using-python-3/|1185875|(完全公开，这是我的帖子！)|1185876|📷|atomic|1185877|​|1185878|entityMap|0|LINK|mutability|MUTABLE|url|https://quickchart.io/|1|https://pythonhowtoprogram.com/get-weather-forecasts-and-show-it-on-a-chart-using-python-3/|2|IMAGE|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/49329b4219426be88684cf6010bf46d6.png|imageAlt^0|J|M|0|0|M|2J|1|0|0|0|1|2|0|0^^$0|@$1|2|3|4|5|6|7|12|8|@]|9|@$A|13|B|14|1|15]]|C|$]]|$1|D|3|E|5|6|7|16|8|@]|9|@$A|17|B|18|1|19]]|C|$]]|$1|F|3|G|5|6|7|1A|8|@]|9|@]|C|$]]|$1|H|3|I|5|J|7|1B|8|@]|9|@$A|1C|B|1D|1|1E]]|C|$]]|$1|K|3|L|5|6|7|1F|8|@]|9|@]|C|$]]|$1|M|3|-4|5|6|7|1G|8|@]|9|@]|C|$]]]|N|$O|$5|P|Q|R|C|$S|T]]|U|$5|P|Q|R|C|$S|V]]|W|$5|X|Q|Y|C|$Z|10|11|-4]]]]

If you're looking for something simpler, you can try <a href="https://quickchart.io/" rel="nofollow noreferrer">https://quickchart.io/</a> which works quite nicely. It generates a URL or you can save an image.
You can see a full example here on weather data: <a href="https://pythonhowtoprogram.com/get-weather-forecasts-and-show-it-on-a-chart-using-python-3/" rel="nofollow noreferrer">https://pythonhowtoprogram.com/get-weather-forecasts-and-show-it-on-a-chart-using-python-3/</a>
(full disclosure, this is my post!)<a href="https://i.stack.imgur.com/ZYr5L.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/ZYr5L.png" alt="Chart example" /></a>

I'm new to python and want to plot a point on graph in python..

<pre><code>X_cord=int(raw_input("Enter the x-coordinate"))
Y_cord=int(raw_input("Enter the y-coordinate"))
</code></pre>

I could just figure out this much.

Plotting a graph in python

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我对python很陌生，我想在python的图上画一个点。X_cord=int(raw_input("Enter the x-coordinate"))Y_cord=int(raw_input("Enter the y-coordinate"))我能想出这么多。

问用python绘制图形
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问用python绘制图形EN