pandas 熊猫散点图
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/13929884/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
Pandas scatter plot
提问by user1911866
Im new to Python and Pandas but have a CSV file with multiple columns that I have read in to a dataframe. I would like to plot a scatter plot of x=Index and y='data'. Where the index is Index of the dataframe and is a date. Thanks heaps Jason
我是 Python 和 Pandas 的新手，但有一个包含多列的 CSV 文件，我已将其读入数据帧。我想绘制 x=Index 和 y='data' 的散点图。其中索引是数据框的索引并且是日期。谢谢堆杰森
回答by Little Bobby Tables
Whilst, I guess technically not a scatter plot, you can use the pandas.plotfunction with point markers drawn on and no lines.
虽然，我想从技术上讲不是散点图，但您可以使用pandas.plot带有绘制点标记且没有线条的函数。
df.plot(marker='o', linewidth=0)
This then allows us to use all of the convenient pandas functionality you desire. e.g. plot two series and different scales, using a single function,
这样我们就可以使用您想要的所有方便的 Pandas 功能。例如，使用单个函数绘制两个系列和不同的比例，
df.plot(marker='o', linewidth=0, secondary_y='y2')
The downside to this is that you lose some of the scatter functionality such as shading and sizing the markers differently.
这样做的缺点是您会失去一些分散功能，例如以不同方式对标记进行着色和调整大小。
Still, if your aim is a quick scatter plot, this might be the easiest route.
不过，如果您的目标是快速散点图，这可能是最简单的路线。
