实现功能:
_python_绘制带直方图的密度图。sns.distplot:直方图(hist)+内核密度函数(kde)。
_ 实现代码:_
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filterwarnings(action='once')
Import Data
df = pd.read_csv("C:/工作/学习/数据杂坛/datasets/mpg_ggplot2.csv")
Draw Plot
plt.figure(figsize=(10, 8), dpi=80)
sns.distplot(df.loc[df['class'] == 'compact', "cty"],
color="#01a2d9",
label="Compact",
hist_kws={'alpha': .7},
kde_kws={'linewidth': 3})
sns.distplot(df.loc[df['class'] == 'suv', "cty"],
color="#dc2624",
label="SUV",
hist_kws={'alpha': .7},
kde_kws={'linewidth': 3})
sns.distplot(df.loc[df['class'] == 'minivan', "cty"],
color="g",
label="minivan",
hist_kws={'alpha': .7},
kde_kws={'linewidth': 3})
plt.ylim(0, 0.35)
Decoration
sns.set(style="whitegrid", font_scale=1.1)
plt.title('Density Plot of City Mileage by Vehicle Type', fontsize=18)
plt.legend()
plt.savefig('C:\工作\学习\数据杂坛\素材\\0919\密度图', dpi=300, bbox_inches = 'tight')
plt.show()
_ 实现效果:_
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Original: https://blog.csdn.net/sinat_41858359/article/details/126936259
Author: 数据杂坛
Title: python可视化分析(十)-绘制带直方图的密度图
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