Xticks by pandas plot，用字符串重命名
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Xticks by pandas plot, rename with the string
提问by Guforu
I have next DF:
我有下一个 DF：
A B C
1 2 'name 1'
2 3 'name 2'
3 5 'name 3'
What is it the correct order to plot column Aand use column Cas xticks?
绘制列A并将列C用作 xticks的正确顺序是什么？
df['A'].plot(xticks = 'C')
df['A'].plot(xticks = df['C'])
are not worked both... Anyway its worked, for example
两者都没有工作......无论如何它的工作，例如
df['A'].plot(xticks=[1,2,3])
Should I really convert to sequence? I have also osme modification of the question. I got next Error message:
我真的应该转换为序列吗？我也对问题进行了 osme 修改。我收到下一条错误消息：
ValueError: could not convert string to float: name 3
I have a column of a strings and want to use it as xticks by my plot.
我有一列字符串，并希望将其用作我的情节的 xticks。
PS
聚苯乙烯
It doesn't going with the pandas plot function direct. I found the solution here
它不直接与熊猫绘图功能一起使用。我在这里找到了解决方案
回答by Alnilam
The link you provided is a good resource, but shows the whole thing being done in matplotlib.pyplotand uses .subplots()to get to the axes. While I've done this before, I keep searching for ways to just use the built-into-pandas .plot()function as much as possible. To me it can simplify the code and makes it easier to leverage DataFrame goodness.
您提供的链接是一个很好的资源，但显示了正在完成的整个事情matplotlib.pyplot并用于.subplots()到达轴。虽然我之前已经这样做过，但我一直在寻找.plot()尽可能多地使用内置 Pandas函数的方法。对我来说，它可以简化代码并使利用 DataFrame 的优点变得更容易。
There do seem to be a number of things that aren't easy to do fully inside the parameters of df.plot()by itself, though. Luckily it returns an matplotlib.AxesSubplot, which opens up a much larger range of possibilities.
不过，似乎有许多事情在其df.plot()本身的参数中并不容易完成。幸运的是，它返回一个matplotlib.AxesSubplot，这开辟了更大范围的可能性。
I copied your data above into a DataFrame:
我将上面的数据复制到 DataFrame 中：
df = pd.read_clipboard(quotechar="'")
It looks sort-of like:
它看起来有点像：
A B C
0 1 2 'name 1'
1 2 3 'name 2'
2 3 5 'name 3'
But, of course, much better in non table-crippled html. (Maybe SO will fix this one day).
但是，当然，在非表格残缺的 html 中要好得多。（也许有一天会解决这个问题）。
Then all I had to do was:
然后我所要做的就是：
ax = df.A.plot(xticks=df.index, rot=90)
ax.set_xticklabels(df.C)
If you are using IPython/Jupyter and %matplotlib inlinethen both of those need to be in the same cell. I had forgotten that at first and spent quite a bit of time trying to figure what was going wrong.
如果您使用的是 IPython/Jupyter，%matplotlib inline那么它们都需要在同一个单元格中。起初我忘记了这一点，并花了很多时间试图弄清楚出了什么问题。
You can do it all using the axvariable:
您可以使用ax变量完成所有操作：
ax = df.A.plot()
ax.set_xticks(df.index)
ax.set_xticklabels(df.C, rotation=90)
but, as I mentioned, I haven't found a way to the xticklabelsinside the df.plot()function parameters, which would make it possible to do this all in a single line.
但是，正如我所提到的，我还没有找到xticklabels进入df.plot()函数参数内部的方法，这可以在一行中完成所有操作。
The extra step to rotate the xtick labels may be extraneous in this example, but came in handy in the one I was working on when looking for this answer.
在这个例子中，旋转 xtick 标签的额外步骤可能是无关紧要的，但在我寻找这个答案时正在处理的步骤中派上用场。
And, of course, you can plot both A and B columns together even easier:
而且，当然，您可以更轻松地将 A 列和 B 列一起绘制：
ax = df.plot()
ax.set_xticks(df.index)
ax.set_xticklabels(df.C, rotation=90)
