#!/usr/bin/env python
# -*- coding:utf-8 -*-
import numpy as np
import pandas as pd
import seaborn as sns
from scipy import stats
import matplotlib as mpl
import matplotlib.pyplot as plt
#热度图heatmap
np.random.seed(0)
sns.set()
uniform_data = np.random.rand(3,3)
print(uniform_data)
#vmin=0.3,vmax=0.6,指定最小值和最大值，center可以指定中间值
heatmap = sns.heatmap(uniform_data,vmin=0.3,vmax=0.6)
plt.show()
#读一份数据
flights = sns.load_dataset("flights")
print(flights.head())
flights = flights.pivot("month","year","passengers")
print(flights) #一个矩阵，乘客人数越来越多
ax = sns.heatmap(flights)
#annot=True表示把数字添加进图里，fmt="d"：是一种格式，如果没有会有乱码
# linewidths:格子之间有间距
ax = sns.heatmap(flights,annot=True,fmt="d",linewidths=.5)
plt.show()
#,cmap：调色板
bx = sns.heatmap(flights,cmap="YlGnBu")
plt.show()
