我如何改变我的图像的大小,使其适合打印?
例如,我想使用A4纸,它的尺寸是11.7英寸乘8.27英寸。
我如何改变我的图像的大小,使其适合打印?
例如,我想使用A4纸,它的尺寸是11.7英寸乘8.27英寸。
当前回答
See How to change the image size for seaborn.objects for a solution with the new seaborn.objects interface from seaborn v0.12, which is not the same as seaborn axes-level or figure-level plots. Adjusting the size of the plot depends if the plot is a figure-level plot like seaborn.displot, or an axes-level plot like seaborn.histplot. This answer applies to any figure or axes level plots. See the the seaborn API reference seaborn is a high-level API for matplotlib, so seaborn works with matplotlib methods Tested in python 3.8.12, matplotlib 3.4.3, seaborn 0.11.2
导入和数据
import seaborn as sns
import matplotlib.pyplot as plt
# load data
df = sns.load_dataset('penguins')
sns.displot
图形级图的大小可以通过高度和/或纵横参数进行调整 此外,图的dpi可以通过访问fig对象并使用.set_dpi()来设置。
p = sns.displot(data=df, x='flipper_length_mm', stat='density', height=4, aspect=1.5)
p.fig.set_dpi(100)
没有p.fig.set_dpi (100)
与p.fig.set_dpi (100)
sns.histplot
轴级图的大小可以通过figsize和/或dpi进行调整
# create figure and axes
fig, ax = plt.subplots(figsize=(6, 5), dpi=100)
# plot to the existing fig, by using ax=ax
p = sns.histplot(data=df, x='flipper_length_mm', stat='density', ax=ax)
没有dpi = 100
dpi = 100
其他回答
See How to change the image size for seaborn.objects for a solution with the new seaborn.objects interface from seaborn v0.12, which is not the same as seaborn axes-level or figure-level plots. Adjusting the size of the plot depends if the plot is a figure-level plot like seaborn.displot, or an axes-level plot like seaborn.histplot. This answer applies to any figure or axes level plots. See the the seaborn API reference seaborn is a high-level API for matplotlib, so seaborn works with matplotlib methods Tested in python 3.8.12, matplotlib 3.4.3, seaborn 0.11.2
导入和数据
import seaborn as sns
import matplotlib.pyplot as plt
# load data
df = sns.load_dataset('penguins')
sns.displot
图形级图的大小可以通过高度和/或纵横参数进行调整 此外,图的dpi可以通过访问fig对象并使用.set_dpi()来设置。
p = sns.displot(data=df, x='flipper_length_mm', stat='density', height=4, aspect=1.5)
p.fig.set_dpi(100)
没有p.fig.set_dpi (100)
与p.fig.set_dpi (100)
sns.histplot
轴级图的大小可以通过figsize和/或dpi进行调整
# create figure and axes
fig, ax = plt.subplots(figsize=(6, 5), dpi=100)
# plot to the existing fig, by using ax=ax
p = sns.histplot(data=df, x='flipper_length_mm', stat='density', ax=ax)
没有dpi = 100
dpi = 100
你也可以通过将字典传递给rc参数,键为'figure '来设置图形大小。海运集方法中的Figsize ':
import seaborn as sns
sns.set(rc={'figure.figsize':(11.7,8.27)})
其他的选择可能是使用数字。rcParams的figsize设置图形大小如下:
from matplotlib import rcParams
# figure size in inches
rcParams['figure.figsize'] = 11.7,8.27
更多细节可以在matplotlib文档中找到
首先导入matplotlib并使用它来设置图形的大小
from matplotlib import pyplot as plt
import seaborn as sns
plt.figure(figsize=(15,8))
ax = sns.barplot(x="Word", y="Frequency", data=boxdata)
# Sets the figure size temporarily but has to be set again the next plot
plt.figure(figsize=(18,18))
sns.barplot(x=housing.ocean_proximity, y=housing.median_house_value)
plt.show()
这也会起作用。
from matplotlib import pyplot as plt
import seaborn as sns
plt.figure(figsize=(15,16))
sns.countplot(data=yourdata, ...)