pandas 如何调整seaborn中的子图大小？
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How to adjust subplot size in seaborn?
提问by DSG
%matplotlib inline
fig, axes = plt.subplots(nrows=2, ncols=4)
m = 0
l = 0
for i in k:
if l == 4 and m==0:
m+=1
l = 0
data1[i].plot(kind = 'box', ax=axes[m,l], figsize = (12,5))
l+=1
This outputs subplots as desired.
这会根据需要输出子图。
But when trying to achieve it through seaborn, subplots are stacked close to each other, how do I change size of each subplot?
但是当试图通过 seaborn 实现它时，子图彼此靠近堆叠，我如何更改每个子图的大小？
fig, axes = plt.subplots(nrows=2, ncols=4)
m = 0
l = 0
plt.figure(figsize=(12,5))
for i in k:
if l == 4 and m==0:
m+=1
l = 0
sns.boxplot(x= data1[i], orient='v' , ax=axes[m,l])
l+=1
回答by Ted Petrou
Your call to plt.figure(figsize=(12,5))is creating a new empty figure different from your already declared figfrom the first step. Set the figsizein your call to plt.subplots. It defaults to (6,4) in your plot since you did not set it. You already created your figure and assigned to variable fig. If you wanted to act on that figure you should have done fig.set_size_inches(12, 5)instead to change the size.
您对 的调用plt.figure(figsize=(12,5))正在创建一个新的空图，与您fig在第一步中已经声明的不同。将figsize通话中的设置为plt.subplots。由于您没有设置它，它在您的图中默认为 (6,4)。您已经创建了图形并分配给了变量fig。如果你想对那个数字采取行动，你应该fig.set_size_inches(12, 5)改变大小。
You can then simply call fig.tight_layout()to get the plot fitted nicely.
然后，您可以简单地调用fig.tight_layout()以很好地拟合该图。
Also, there is a much easier way to iterate through axes by using flattenon your array of axesobjects. I am also using data directly from seaborn itself.
此外，通过flatten在axes对象数组上使用，还有一种更简单的方法来遍历轴。我也直接使用来自 seaborn 本身的数据。
# I first grab some data from seaborn and make an extra column so that there
# are exactly 8 columns for our 8 axes
data = sns.load_dataset('car_crashes')
data = data.drop('abbrev', axis=1)
data['total2'] = data['total'] * 2
# Set figsize here
fig, axes = plt.subplots(nrows=2, ncols=4, figsize=(12,5))
# if you didn't set the figsize above you can do the following
# fig.set_size_inches(12, 5)
# flatten axes for easy iterating
for i, ax in enumerate(axes.flatten()):
sns.boxplot(x= data.iloc[:, i], orient='v' , ax=ax)
fig.tight_layout()
Without the tight_layoutthe plots are slightly smashed together. See below.
没有tight_layout地块被轻微地砸在一起。见下文。
