%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np;
np.random.seed(0)
import seaborn as sns;
sns.set()
uniform_data = np.random.rand(3, 3)
print (uniform_data)
heatmap = sns.heatmap(uniform_data)
ax = sns.heatmap(uniform_data, vmin=0.2, vmax=0.5)
normal_data = np.random.randn(3, 3)
print (normal_data)
ax = sns.heatmap(normal_data, center=0)
flights = sns.load_dataset("flights")
flights.head()
flights = flights.pivot("month", "year", "passengers")
print (flights)
ax = sns.heatmap(flights)
ax = sns.heatmap(flights, annot=True,fmt="d")
ax = sns.heatmap(flights, linewidths=5)
ax = sns.heatmap(flights, cmap="YlGnBu")
ax = sns.heatmap(flights, cbar=False)