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In [1]:

    
import numpy as np
from numpy.random import randn
import pandas as pd

from scipy import stats

import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns

%matplotlib inline



In [2]:

    
flights_dframe = sns.load_dataset('flights')



In [3]:

    
flight_dframe = flights_dframe.pivot('month', 'year', 'passengers')



In [4]:

    
flight_dframe



In [5]:

    
sns.heatmap(flight_dframe)









    Out[5]:





<matplotlib.axes._subplots.AxesSubplot at 0x11a0e02d0>



In [6]:

    
sns.heatmap(flight_dframe, annot=True, fmt='d')









    Out[6]:





<matplotlib.axes._subplots.AxesSubplot at 0x11c84fdd0>



In [7]:

    
sns.heatmap(flight_dframe, center=flight_dframe.loc['January', 1955])









    Out[7]:





<matplotlib.axes._subplots.AxesSubplot at 0x1177e1510>



In [11]:

    
f, (axis1, axis2) = plt.subplots(2,1)

yearly_flights = flight_dframe.sum()

years = pd.Series(yearly_flights.index.values)
years = pd.DataFrame(years)

flights = pd.Series(yearly_flights.values)
flights = pd.DataFrame(flights)

year_dframe = pd.concat((years, flights), axis=1)

year_dframe.columns = ['Year', 'Flights']

sns.barplot('Year','Flights', data=year_dframe, ax = axis1)

sns.heatmap(flight_dframe, cmap='Blues', ax=axis2, cbar_kws={'orientation': 'horizontal'})









    Out[11]:





<matplotlib.axes._subplots.AxesSubplot at 0x11e56b7d0>



In [12]:

    
sns.clustermap(flight_dframe)









    Out[12]:





<seaborn.matrix.ClusterGrid at 0x11dc64c50>



In [13]:

    
sns.clustermap(flight_dframe, col_cluster=False)









    Out[13]:





<seaborn.matrix.ClusterGrid at 0x10709b110>



In [16]:

    
sns.clustermap(flight_dframe, standard_scale=1, linewidths=.5)









    Out[16]:





<seaborn.matrix.ClusterGrid at 0x1208d4410>



In [17]:

    
sns.clustermap(flight_dframe, standard_scale=0, linewidths=.5)









    Out[17]:





<seaborn.matrix.ClusterGrid at 0x1209d58d0>



In [18]:

    
sns.clustermap(flight_dframe, z_score=1, linewidths=.5)









    Out[18]:





<seaborn.matrix.ClusterGrid at 0x121ab32d0>



In [ ]:

year	1949	1950	1951	1952	1953	1954	1955	1956	1957	1958	1959	1960
month
January	112	115	145	171	196	204	242	284	315	340	360	417
February	118	126	150	180	196	188	233	277	301	318	342	391
March	132	141	178	193	236	235	267	317	356	362	406	419
April	129	135	163	181	235	227	269	313	348	348	396	461
May	121	125	172	183	229	234	270	318	355	363	420	472
June	135	149	178	218	243	264	315	374	422	435	472	535
July	148	170	199	230	264	302	364	413	465	491	548	622
August	148	170	199	242	272	293	347	405	467	505	559	606
September	136	158	184	209	237	259	312	355	404	404	463	508
October	119	133	162	191	211	229	274	306	347	359	407	461
November	104	114	146	172	180	203	237	271	305	310	362	390
December	118	140	166	194	201	229	278	306	336	337	405	432