当使用seaborn heatmap时,有没有办法自动调整字体大小,使其恰好适合方块?例如:
sns.heatmap(corrmat, vmin=corrmat.values.min(), vmax=1, square=True, cmap="YlGnBu",
linewidths=0.1, annot=True, annot_kws={"size":8})
这里的大小是在"annot_kws“中设置的。
发布于 2019-09-08 18:13:01
调整seaborn heatmap的字体大小有不同的方法
import seaborn as sns # for data visualization
flight = sns.load_dataset('flights') # load flights datset from GitHub seaborn repository
# reshape flights dataeset in proper format to create seaborn heatmap
flights_df = flight.pivot('month', 'year', 'passengers')
sns.heatmap(flights_df) # create seaborn heatmap
sns.set(font_scale=2) # font size 2
Output >>>
如果您愿意,可以使用另一种方法为所有海运图标签设置sns.set(font_scale=2) # font size 2
大小
import seaborn as sns # for data visualization
import matplotlib.pyplot as plt # for data visualization
flight = sns.load_dataset('flights') # load flights datset from GitHub seaborn repository
# reshape flights dataeset in proper format to create seaborn heatmap
flights_df = flight.pivot('month', 'year', 'passengers')
sns.heatmap(flights_df) # create seaborn heatmap
plt.title('Heatmap of Flighr Dataset', fontsize = 20) # title with fontsize 20
plt.xlabel('Years', fontsize = 15) # x-axis label with fontsize 15
plt.ylabel('Monthes', fontsize = 15) # y-axis label with fontsize 15
plt.show()
Output >>>
https://stackoverflow.com/questions/33104322
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