Seaborn 颜色设置

通过在seaborn的plot方法中对其 palette 参数进行调色盘设置即可

import pandas as pd
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import seaborn as sns


# 初始化画板
def initPlot():
    sns.set(style="whitegrid", palette="muted",
            color_codes=True, font='SimHei')  # set( )设置主题，调色板更常用
    # mpl.rcParams['font.family'] = 'SimHei'
    plt.rcParams['axes.unicode_minus'] = False  # 解决坐标轴负数的负号显示问题


initPlot()
df_A = readData()  # 读取excel数据

plt.figure(figsize=(50,10)) # 扩大行间距
sns.countplot(x="颜色", hue="表面风化", data=df_A,
              palette=sns.color_palette("BuGn_r", 2))
plt.show()

效果如下