图效果
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代码实现
1、导入包
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import ptitprince as pt
2、读取.csv文件
df=pd.read_csv('D:/driver/Analysis/jiangwei.csv')
df1=df[df.carId<=2235]
df数据
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3、绘制云雨图
dy="carId"
dx="speed"
ort="h"
pal="Set2"
f, ax=plt.subplots(figsize=(7, 5))
ax=pt.half_violinplot(x=dx, y=dy, data=df1, palette=pal, bw=.2, cut=0.,
scale="area", width=.6, inner=None, orient=ort)
ax=sns.stripplot(x=dx, y=dy, data=df1, palette=pal, edgecolor="white",
size=3, jitter=1, zorder=0, orient=ort, )
ax=sns.boxplot(x=dx, y=dy, data=df1, color="black", width=.15, zorder=10,
showcaps=True, boxprops={'facecolor':'none',"zorder":10},
showfliers=True, whiskerprops={'linewidth':2,"zorder":10},
saturation=1, orient=ort)
plt.title("Raincloud")
plt.show()
全部代码
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import ptitprince as pt
df=pd.read_csv('D:/driver/Analysis/jiangwei.csv')
df1=df[df.carId<=2235]
dy="carId"
dx="speed"
ort="h"
pal="Set2"
f, ax=plt.subplots(figsize=(7, 5))
ax=pt.half_violinplot(x=dx, y=dy, data=df1, palette=pal, bw=.2, cut=0.,
scale="area", width=.6, inner=None, orient=ort)
ax=sns.stripplot(x=dx, y=dy, data=df1, palette=pal, edgecolor="white",
size=3, jitter=1, zorder=0, orient=ort, )
ax=sns.boxplot(x=dx, y=dy, data=df1, color="black", width=.15, zorder=10,
showcaps=True, boxprops={'facecolor':'none',"zorder":10},
showfliers=True, whiskerprops={'linewidth':2,"zorder":10},
saturation=1, orient=ort)
plt.title("Raincloud")
plt.show()