Python Seaborn：在 Facetgrid 中绘制多个 distplot
Python Seaborn: Plot multiple distplot in Facetgrid
我有一个如下所示的数据框：
df:
RY MAJ_CAT Value
2016 Cause Unknown 0.00227
2016 Vegetation 0.04217
2016 Vegetation 0.04393
2016 Vegetation 0.07878
2016 Defective Equip 0.00137
2018 Cause Unknown 0.00484
2018 Defective Equip 0.01546
2020 Defective Equip 0.05169
2020 Defective Equip 0.00515
2020 Cause Unknown 0.00050
我想绘制给定年份的值分布图。因此，我使用以下代码使用了 seaborn 的 distplot：
year_2016 = df[df['RY']==2016]
year_2018 = df[df['RY']==2018]
year_2020 = df[df['RY']==2020]
sns.distplot(year_2016['value'].values, hist=False,rug=True)
sns.distplot(year_2018['value'].values, hist=False,rug=True)
sns.distplot(year_2020['value'].values, hist=False,rug=True)
在下一步中，我想绘制给定年份 w.r.t MAJ_CAT 内的相同值分布。所以我决定使用seaborn的Facetgrid，下面是代码：
g = sns.FacetGrid(df,col='MAJ_CAT')
g = g.map(sns.distplot,df[df['RY']==2016]['value'].values, hist=False,rug=True))
g = g.map(sns.distplot,df[df['RY']==2018]['value'].values, hist=False,rug=True))
g = g.map(sns.distplot,df[df['RY']==2020]['value'].values, hist=False,rug=True))
但是，当它运行上面的命令时，它会抛出以下错误：
KeyError: "None of [Index([(0.00227, 0.04217, 0.043930000000000004, 0.07877999999999999, 0.00137, 0.0018800000000000002, 0.00202, 0.00627, 0.00101, 0.07167000000000001, 0.01965, 0.02775, 0.00298, 0.00337, 0.00088, 0.04049, 0.01957, 0.01012, 0.12065, 0.23699, 0.03639, 0.00137, 0.03244, 0.00441, 0.06748, 0.00035, 0.0066099999999999996, 0.00302, 0.015619999999999998, 0.01571, 0.0018399999999999998, 0.03425, 0.08046, 0.01695, 0.02416, 0.08975, 0.0018800000000000002, 0.14743, 0.06366000000000001, 0.04378, 0.043, 0.02997, 0.0001, 0.22799, 0.00611, 0.13960999999999998, 0.38871, 0.018430000000000002, 0.053239999999999996, 0.06702999999999999, 0.14103, 0.022719999999999997, 0.011890000000000001, 0.00186, 0.00049, 0.13947, 0.0067, 0.00503, 0.00242, 0.00137, 0.00266, 0.38638, 0.24068, 0.0165, 0.54847, 1.02545, 0.01889, 0.32750999999999997, 0.22526, 0.24516, 0.12791, 0.00063, 0.0005200000000000001, 0.00921, 0.07665, 0.00116, 0.01042, 0.27046, 0.03501, 0.03159, 0.46748999999999996, 0.022090000000000002, 2.2972799999999998, 0.69021, 0.22529000000000002, 0.00147, 0.1102, 0.03234, 0.05799, 0.11744, 0.00896, 0.09556, 0.03202, 0.01347, 0.00923, 0.0034200000000000003, 0.041530000000000004, 0.04848, 0.00062, 0.0031100000000000004, ...)], dtype='object')] are in the [columns]"
我不确定我在哪里犯了错误。谁能帮我解决这个问题？
设置数据框
import pandas as pd
import numpy as np
import seaborn as sns
# setup dataframe of synthetic data
np.random.seed(365)
data = {'RY': np.random.choice([2016, 2018, 2020], size=400),
'MAJ_CAT': np.random.choice(['Cause Unknown', 'Vegetation', 'Defective Equip'], size=400),
'Value': np.random.random(size=400) }
df = pd.DataFrame(data)
更新答案
- 来自
seaborn v0.11
- 将
sns.displot 与 kind='kde' 和 rug=True 结合使用
- 是一个图形级界面，用于将分布图绘制到 FacetGrid 上。
将所有 'MAJ_CAT' 绘制在一起
sns.displot(data=df, x='Value', hue='RY', kind='kde', palette='tab10', rug=True)
分别绘制'MAJ_CAT'
sns.displot(data=df, col='MAJ_CAT', x='Value', hue='RY', kind='kde', palette='tab10', rug=True)
原答案
- 在
seaborn v0.11 中，distplot 已弃用
分布图
- 合并原始代码生成distplot
for year in df.RY.unique():
values = df.Value[df.RY == year]
sns.distplot(values, hist=False, rug=True)
facetgrid
- 正确配置映射并将
hue添加到FacetGrid
g = sns.FacetGrid(df, col='MAJ_CAT', hue='RY')
p1 = g.map(sns.distplot, 'Value', hist=False, rug=True).add_legend()
我有一个如下所示的数据框：
df:
RY MAJ_CAT Value
2016 Cause Unknown 0.00227
2016 Vegetation 0.04217
2016 Vegetation 0.04393
2016 Vegetation 0.07878
2016 Defective Equip 0.00137
2018 Cause Unknown 0.00484
2018 Defective Equip 0.01546
2020 Defective Equip 0.05169
2020 Defective Equip 0.00515
2020 Cause Unknown 0.00050
我想绘制给定年份的值分布图。因此，我使用以下代码使用了 seaborn 的 distplot：
year_2016 = df[df['RY']==2016]
year_2018 = df[df['RY']==2018]
year_2020 = df[df['RY']==2020]
sns.distplot(year_2016['value'].values, hist=False,rug=True)
sns.distplot(year_2018['value'].values, hist=False,rug=True)
sns.distplot(year_2020['value'].values, hist=False,rug=True)
在下一步中，我想绘制给定年份 w.r.t MAJ_CAT 内的相同值分布。所以我决定使用seaborn的Facetgrid，下面是代码：
g = sns.FacetGrid(df,col='MAJ_CAT')
g = g.map(sns.distplot,df[df['RY']==2016]['value'].values, hist=False,rug=True))
g = g.map(sns.distplot,df[df['RY']==2018]['value'].values, hist=False,rug=True))
g = g.map(sns.distplot,df[df['RY']==2020]['value'].values, hist=False,rug=True))
但是，当它运行上面的命令时，它会抛出以下错误：
KeyError: "None of [Index([(0.00227, 0.04217, 0.043930000000000004, 0.07877999999999999, 0.00137, 0.0018800000000000002, 0.00202, 0.00627, 0.00101, 0.07167000000000001, 0.01965, 0.02775, 0.00298, 0.00337, 0.00088, 0.04049, 0.01957, 0.01012, 0.12065, 0.23699, 0.03639, 0.00137, 0.03244, 0.00441, 0.06748, 0.00035, 0.0066099999999999996, 0.00302, 0.015619999999999998, 0.01571, 0.0018399999999999998, 0.03425, 0.08046, 0.01695, 0.02416, 0.08975, 0.0018800000000000002, 0.14743, 0.06366000000000001, 0.04378, 0.043, 0.02997, 0.0001, 0.22799, 0.00611, 0.13960999999999998, 0.38871, 0.018430000000000002, 0.053239999999999996, 0.06702999999999999, 0.14103, 0.022719999999999997, 0.011890000000000001, 0.00186, 0.00049, 0.13947, 0.0067, 0.00503, 0.00242, 0.00137, 0.00266, 0.38638, 0.24068, 0.0165, 0.54847, 1.02545, 0.01889, 0.32750999999999997, 0.22526, 0.24516, 0.12791, 0.00063, 0.0005200000000000001, 0.00921, 0.07665, 0.00116, 0.01042, 0.27046, 0.03501, 0.03159, 0.46748999999999996, 0.022090000000000002, 2.2972799999999998, 0.69021, 0.22529000000000002, 0.00147, 0.1102, 0.03234, 0.05799, 0.11744, 0.00896, 0.09556, 0.03202, 0.01347, 0.00923, 0.0034200000000000003, 0.041530000000000004, 0.04848, 0.00062, 0.0031100000000000004, ...)], dtype='object')] are in the [columns]"
我不确定我在哪里犯了错误。谁能帮我解决这个问题？
设置数据框
import pandas as pd
import numpy as np
import seaborn as sns
# setup dataframe of synthetic data
np.random.seed(365)
data = {'RY': np.random.choice([2016, 2018, 2020], size=400),
'MAJ_CAT': np.random.choice(['Cause Unknown', 'Vegetation', 'Defective Equip'], size=400),
'Value': np.random.random(size=400) }
df = pd.DataFrame(data)
更新答案
- 来自
seaborn v0.11 - 将
sns.displot与kind='kde'和rug=True结合使用- 是一个图形级界面，用于将分布图绘制到 FacetGrid 上。
将所有 'MAJ_CAT' 绘制在一起
sns.displot(data=df, x='Value', hue='RY', kind='kde', palette='tab10', rug=True)
分别绘制'MAJ_CAT'
sns.displot(data=df, col='MAJ_CAT', x='Value', hue='RY', kind='kde', palette='tab10', rug=True)
原答案
- 在
seaborn v0.11中，distplot已弃用
分布图
- 合并原始代码生成distplot
for year in df.RY.unique():
values = df.Value[df.RY == year]
sns.distplot(values, hist=False, rug=True)
facetgrid
- 正确配置映射并将
hue添加到FacetGrid
g = sns.FacetGrid(df, col='MAJ_CAT', hue='RY')
p1 = g.map(sns.distplot, 'Value', hist=False, rug=True).add_legend()