Seaborn 设置 figsize=(x,y) 错误和关于紧缩布局的警告“tight_layout 不能使轴高度小到足以容纳所有轴装饰”

Question

我在 Seaborn 中有一个 10-plot FacetGrid 图表，其中的图略有重叠。我想改变整体图的大小。当我在下面的代码中使用 g.fig.subplots(figsize=(12,12)) 时，我收到一条错误消息TypeError: subplots() got an unexpected keyword argument 'size'。

另外，我收到警告 UserWarning: Tight layout not applied. tight_layout cannot make axes height small enough to accommodate all axes decorations self.fig.tight_layout()

我在我的代码中没有看到引用了 tiny_layout() 的任何地方。它嵌入在模块中：C:\Anaconda3\lib\site-packages\seaborn\axisgrid.py:848. 我不想在站点包模块中乱搞。如何调整参数以免收到此警告。

我想解决这个问题，而不仅仅是抑制这个警告。我对 Seaborn 和 Matplotlib 的内部结构知之甚少，无法修复此错误并消除警告。

我尝试添加g.fig.subplots(figsize=(12,12))以更改图形大小。显然 FacetGrid 图不包含在图形中，或者我错误地引用了图形边界框对象。

"""
FacetGrid Plot Showing Overlapping Distributions (Densities) Offset by ('ridge plot')
====================================
"""
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="white", rc={"axes.facecolor": (0, 0, 0, 0)})

# Create some random distribution data and labels, and store them in a dataframe
rs = np.random.RandomState(1979)
x = rs.randn(500)
g = np.tile(list("ABCDEFGHIJ"), 50)
df = pd.DataFrame(dict(x=x, g=g))
m = df.g.map(ord)
df["x"] += m

# Initialize the FacetGrid chart object
pal = sns.cubehelix_palette(10, rot=-.25, light=.7)
g = sns.FacetGrid(df, row="g", hue="g", aspect=15, height=.5, palette=pal)

# Draw the densities in a few steps
g.map(sns.kdeplot, "x", clip_on=False, shade=True, alpha=1, lw=1.5, bw=.2)
g.map(sns.kdeplot, "x", clip_on=False, color="w", lw=2, bw=.2)
g.map(plt.axhline, y=0, lw=2, clip_on=False)


# Define and use a simple function to label the plot in axes coordinates
def label(x, color, label):
    ax = plt.gca()
    ax.text(0, .2, label, fontweight="bold", color=color,
            ha="left", va="center", transform=ax.transAxes)

# Use ``map()`` to calculate the label positions
g.map(label, "x")

# Set the subplots to overlap slightly on their vertical direction
g.fig.subplots_adjust(hspace=-.3)

# Remove axes details that don't play well with overlap
g.set_titles("")
g.set(yticks=[])
g.despine(bottom=True, left=True)
g.fig.subplots(figsize=(12,12))  # Don't know how to change figure size for a set of overlapping Seaborn plots

我收到以下警告，然后是错误消息，然后显示 FacetedGrid 图而不更改其大小。

  self.fig.tight_layout()
C:\Anaconda3\lib\site-packages\seaborn\axisgrid.py:848: UserWarning: Tight layout not applied. tight_layout cannot make axes height small enough to accommodate all axes decorations
  self.fig.tight_layout()
C:\Anaconda3\lib\site-packages\seaborn\axisgrid.py:848: UserWarning: Tight layout not applied. tight_layout cannot make axes height small enough to accommodate all axes decorations
  self.fig.tight_layout()

---

<ipython-input-25-a661dbef6e83> in <module>
     43 g.set(yticks=[])
     44 g.despine(bottom=True, left=True)
---> 45 g.fig.subplots(size=(12,12))  # Don't know how to change figure size for a set of overlapping Seaborn plots

TypeError: subplots() got an unexpected keyword argument 'size'

##############

整合所有评论后，这里是一个没有警告或错误的良好、紧凑的情节的源代码：

`# -*- coding: utf-8 -*-
""" Created on Mon Jun 24 12:21:40 2019 @author: rlysak01 
FacetGrid Plot Showing Overlapping Distributions (Densities) Offset by ('ridge plot')
"""
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="white", rc={"axes.facecolor": (0, 0, 0, 0)})

# Create some random distribution data and labels, and store them in a dataframe
rs = np.random.RandomState(1979)
x = rs.randn(500)
g = np.tile(list("ABCDEFGHIJ"), 50)
df = pd.DataFrame(dict(x=x, g=g))
m = df.g.map(ord)
df["x"] += m

# Initialize the FacetGrid chart object
pal = sns.cubehelix_palette(10, rot=-.25, light=.7)
# g = sns.FacetGrid(df, row="g", hue="g", aspect=6, height=1.0, palette=pal)
g = sns.FacetGrid(df, row="g", hue="g", palette=pal)

''' Alternatively set figsize using the following 2 parameters.'''
g.fig.set_figheight(5.5)
g.fig.set_figwidth(7)
# or use plt.gcf().set_size_inches(12, 12)

# Draw the densities in a few steps
g.map(sns.kdeplot, "x", clip_on=False, shade=True, alpha=1, lw=1.5, bw=.2)
g.map(sns.kdeplot, "x", clip_on=False, color="w", lw=2, bw=.2)
g.map(plt.axhline, y=0, lw=2, clip_on=False)

# Define and use a simple function to label the plot in axes coordinates
# Values x,y in ax.text(x,y, ...) controls the x,y offset from the x axis.
def label(x, color, label):
    ax = plt.gca()
    ax.text(0, .2, label, fontweight="bold", color=color,
            ha="left", va="center", transform=ax.transAxes)

# Use ``map()`` to calculate the label positions
g.map(label, "x")

# Set the subplots to overlap slightly on their vertical direction
g.fig.subplots_adjust(hspace=-0.5)

# Remove axes details that don't play well with overlap
g.set_titles("")
g.set(yticks=[])
g.despine(bottom=True, left=True)
`

Answer 1

我找到了一个解决方案，您可以将高度和宽度分别设置为

g.fig.set_figheight(12)
g.fig.set_figwidth(12)

或者，您可以尝试将当前图形的大小设置为

g.despine(bottom=True, left=True)
plt.gcf().set_size_inches(12, 12)

使用上述行的 (5,5) 大小的示例输出