#cmap(顏色)

import matplotlib.pyplot as plt
% matplotlib inline

f, (ax1,ax2) = plt.subplots(figsize = (6,4),nrows=2)

# cmap用cubehelix map顏色
cmap = sns.cubehelix_palette(start = 1.5, rot = 3, gamma=0.8, as_cmap = True)
sns.heatmap(pt, linewidths = 0.05, ax = ax1, vmax=900, vmin=0, cmap=cmap)
ax1.set_title('cubehelix map')
ax1.set_xlabel('')
ax1.set_xticklabels([]) #設(shè)置x軸圖例為空值
ax1.set_ylabel('kind')

# cmap用matplotlib colormap
sns.heatmap(pt, linewidths = 0.05, ax = ax2, vmax=900, vmin=0, cmap='rainbow') 
# rainbow為 matplotlib 的colormap名稱
ax2.set_title('matplotlib colormap')
ax2.set_xlabel('region')
ax2.set_ylabel('kind')

#center的用法(顏色)f, (ax1,ax2) = plt.subplots(figsize = (6, 4),nrows=2)

cmap = sns.cubehelix_palette(start = 1.5, rot = 3, gamma=0.8, as_cmap = True)
sns.heatmap(pt, linewidths = 0.05, ax = ax1, cmap=cmap, center=None )
ax1.set_title('center=None')
ax1.set_xlabel('')
ax1.set_xticklabels([]) #設(shè)置x軸圖例為空值ax1.set_ylabel('kind')# 當(dāng)center設(shè)置小于數(shù)據(jù)的均值時，生成的圖片顏色要向0值代表的顏色一段偏移sns.heatmap(pt, linewidths = 0.05, ax = ax2, cmap=cmap, center=200) 
ax2.set_title('center=3000')
ax2.set_xlabel('region')
ax2.set_ylabel('kind')

#robust的用法(顏色)f, (ax1,ax2) = plt.subplots(figsize = (6,4),nrows=2)

cmap = sns.cubehelix_palette(start = 1.5, rot = 3, gamma=0.8, as_cmap = True)

sns.heatmap(pt, linewidths = 0.05, ax = ax1, cmap=cmap, center=None, robust=False )
ax1.set_title('robust=False')
ax1.set_xlabel('')
ax1.set_xticklabels([]) #設(shè)置x軸圖例為空值ax1.set_ylabel('kind')

sns.heatmap(pt, linewidths = 0.05, ax = ax2, cmap=cmap, center=None, robust=True ) 
ax2.set_title('robust=True')
ax2.set_xlabel('region')
ax2.set_ylabel('kind')

#annot(矩陣上數(shù)字),annot_kws(矩陣上數(shù)字的大小顏色字體)matplotlib包text類下的字體設(shè)置import numpy as np
np.random.seed(20180316)
x = np.random.randn(4, 4)

f, (ax1, ax2) = plt.subplots(figsize=(6,6),nrows=2)

sns.heatmap(x, annot=True, ax=ax1)

sns.heatmap(x, annot=True, ax=ax2, annot_kws={'size':9,'weight':'bold', 'color':'blue'})# Keyword arguments for ax.text when annot is True. http://stackoverflow.com/questions/35024475/seaborn-heatmap-key-words

#fmt(字符串格式代碼，矩陣上標(biāo)識數(shù)字的數(shù)據(jù)格式，比如保留小數(shù)點后幾位數(shù)字)import numpy as np
np.random.seed(0)
x = np.random.randn(4,4)

f, (ax1, ax2) = plt.subplots(figsize=(6,6),nrows=2)

sns.heatmap(x, annot=True, ax=ax1)

sns.heatmap(x, annot=True, fmt='.1f', ax=ax2)

#linewidths(矩陣小塊的間隔),linecolor(切分熱力圖矩陣小塊的線的顏色)import matplotlib.pyplot as plt
f, ax = plt.subplots(figsize = (6,4))
cmap = sns.cubehelix_palette(start = 1, rot = 3, gamma=0.8, as_cmap = True) 
sns.heatmap(pt, cmap = cmap, linewidths = 0.05, linecolor= 'red', ax = ax) 
ax.set_title('Amounts per kind and region')
ax.set_xlabel('region')
ax.set_ylabel('kind')

#xticklabels，yticklabels橫軸和縱軸的標(biāo)簽名

#mask對某些矩陣塊的顯示進(jìn)行覆蓋

f, (ax1,ax2) = plt.subplots(figsize = (5,5),nrows=2)

cmap = sns.cubehelix_palette(start = 1.5, rot = 3, gamma=0.8, as_cmap = True)

p1 = sns.heatmap(pt, ax=ax1, cmap=cmap, xticklabels=False, mask=None)
ax1.set_title('mask=None')
ax1.set_ylabel('kind')

p2 = sns.heatmap(pt, ax=ax2, cmap=cmap, xticklabels=True, mask=(pt<800)) 
#mask對pt進(jìn)行布爾型轉(zhuǎn)化,

f,(ax1,ax2) = plt.subplots(figsize=(4,6),nrows=2)
x = np.array([[1,2,3],[2,0,1],[-1,-2,0]])
sns.heatmap(x, annot=True, ax=ax1)
sns.heatmap(x, mask=x < 1, ax=ax2, annot=True, annot_kws={"weight": "bold"}) #把小于1的區(qū)域覆蓋掉