jxn*_*jxn 1 python matplotlib pandas seaborn
无法更改无花果大小,请参见示例:
df = pd.DataFrame({'subset_product':['A','A','A','B','B','C','C'],
'subset_close':[1,1,0,1,1,1,0]})
prod_counts = df.groupby('subset_product').size().rename('prod_counts')
df['prod_count'] = df['subset_product'].map(prod_counts)
g = sns.factorplot(y='prod_count',x='subset_product',hue='subset_close',data=df,kind='bar',palette='muted',legend=False,ci=None)
plt.rcParams["figure.figsize"] = [20,10]
plt.legend(loc='best')
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尽管改变了Figsize,它总是给我相同的绘图大小和一个空的绘图
可以通过首先创建图形和轴并将其作为参数传递给seaborn图来修改图形大小:
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
fig, ax = plt.subplots(figsize=(20, 10))
df = pd.DataFrame({'subset_product':['A','A','A','B','B','C','C'],
'subset_close':[1,1,0,1,1,1,0]})
prod_counts = df.groupby('subset_product').size().rename('prod_counts')
df['prod_count'] = df['subset_product'].map(prod_counts)
g = sns.factorplot(y='prod_count', x='subset_product', hue='subset_close', data=df, kind='bar', palette='muted', legend=False, ci=None, ax=ax)
plt.close(2) # close empty figure
plt.show()
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当使用轴网格类型图时,seaborn 将自动创建一个图形。解决方法可能是关闭第二个数字。
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