pandas 在 Seaborn FacetGrid 中绘制多个 DataFrame 列
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/30623721/
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
Plot multiple DataFrame columns in Seaborn FacetGrid
提问by arccos
I am using the following code
我正在使用以下代码
import seaborn as sns
g = sns.FacetGrid(dataframe, col='A', hue='A')
g.map(plt.plot, 'X', 'Y1')
plt.show()
to make a seaborn facet plot like this:
制作这样的 seaborn 分面图：
Now I would like to add another row to this plot with a different variable, call it Y2, on the y axis. The result should look similar to vertically stacking the two plots obtained by
现在我想用不同的变量向该图中添加另一行，在 y 轴上将其命名为 Y2。结果应该类似于垂直堆叠通过以下方式获得的两个图
g = sns.FacetGrid(dataframe, col='A', hue='A')
g.map(plt.plot, 'X', 'Y1')
plt.show()
g = sns.FacetGrid(dataframe, col='A', hue='A')
g.map(plt.plot, 'X', 'Y2')
plt.show()
but in a single plot, without the duplicate x axis and titles ("A=<value>") and without creating a new FacetGridobject.
但在单个图中，没有重复的 x 轴和标题（“A=<value>”），也没有创建新FacetGrid对象。
Note that
注意
g = sns.FacetGrid(dataframe, col='A', hue='A')
g.map(plt.plot, 'X', 'Y1')
g.map(plt.plot, 'X', 'Y2')
plt.show()
does not achive this, because it results in both the curve for Y1 and Y2 being displayed in the same subplot for each value of A.
没有实现这一点，因为它导致 Y1 和 Y2 的曲线对于 A 的每个值都显示在同一个子图中。
采纳答案by chthonicdaemon
I used the following code to create a synthetic dataset which appears to match yours:
我使用以下代码创建了一个与您的数据集相匹配的合成数据集：
import pandas
import numpy
import seaborn as sns
import matplotlib.pyplot as plt
# Generate synthetic data
omega = numpy.linspace(0, 50)
A0s = [1., 18., 40., 100.]
dfs = []
for A0 in A0s:
V_w_dr = numpy.sin(A0*omega)
V_w_tr = numpy.cos(A0*omega)
dfs.append(pandas.DataFrame({'omega': omega,
'V_w_dr': V_w_dr,
'V_w_tr': V_w_tr,
'A0': A0}))
dataframe = pandas.concat(dfs, axis=0)
Then you can do what you want (thanks to @mwaskom in the comments for )sharey='row', margin_titles=True):
然后你可以做你想做的事（感谢@mwaskom 在评论中)sharey='row', margin_titles=True）：
melted = dataframe.melt(id_vars=['A0', 'omega'], value_vars=['V_w_dr', 'V_w_tr'])
g = sns.FacetGrid(melted, col='A0', hue='A0', row='variable', sharey='row', margin_titles=True)
g.map(plt.plot, 'omega', 'value')
This results in
这导致
