In [1]:

    

import pandas as pd


    

In [2]:

    

df = pd.read_csv('data/src/titanic_train.csv')


    

In [3]:

    

print(df.head())


    

    




   PassengerId  Survived  Pclass  \
0            1         0       3   
1            2         1       1   
2            3         1       3   
3            4         1       1   
4            5         0       3   

                                                Name     Sex   Age  SibSp  \
0                            Braund, Mr. Owen Harris    male  22.0      1   
1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   
2                             Heikkinen, Miss. Laina  female  26.0      0   
3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   
4                           Allen, Mr. William Henry    male  35.0      0   

   Parch            Ticket     Fare Cabin Embarked  
0      0         A/5 21171   7.2500   NaN        S  
1      0          PC 17599  71.2833   C85        C  
2      0  STON/O2. 3101282   7.9250   NaN        S  
3      0            113803  53.1000  C123        S  
4      0            373450   8.0500   NaN        S  

In [4]:

    

df.info()


    

    




<class 'pandas.core.frame.DataFrame'>
RangeIndex: 891 entries, 0 to 890
Data columns (total 12 columns):
PassengerId    891 non-null int64
Survived       891 non-null int64
Pclass         891 non-null int64
Name           891 non-null object
Sex            891 non-null object
Age            714 non-null float64
SibSp          891 non-null int64
Parch          891 non-null int64
Ticket         891 non-null object
Fare           891 non-null float64
Cabin          204 non-null object
Embarked       889 non-null object
dtypes: float64(2), int64(5), object(5)
memory usage: 83.6+ KB

In [5]:

    

print(len(df))


    

    




891

In [6]:

    

print(len(df.columns))


    

    




12

In [7]:

    

print(df.shape)


    

    




(891, 12)

In [8]:

    

print(df.shape[0])


    

    




891

In [9]:

    

print(df.shape[1])


    

    




12

In [10]:

    

row, col = df.shape
print(row)


    

    




891

In [11]:

    

print(col)


    

    




12

In [12]:

    

print(df.size)


    

    




10692

In [13]:

    

print(df.shape[0] * df.shape[1])


    

    




10692

In [14]:

    

s = df['PassengerId']
print(s.head())


    

    




0    1
1    2
2    3
3    4
4    5
Name: PassengerId, dtype: int64

In [15]:

    

print(len(s))


    

    




891

In [16]:

    

print(s.size)


    

    




891

In [17]:

    

print(s.shape)


    

    




(891,)

In [18]:

    

df_multiindex = df.set_index(['Sex', 'Pclass', 'Embarked', 'PassengerId'])


    

In [19]:

    

print(len(df_multiindex))


    

    




891

In [20]:

    

print(len(df_multiindex.columns))


    

    




8

In [21]:

    

print(df_multiindex.shape)


    

    




(891, 8)

In [22]:

    

print(df_multiindex.size)


    

    




7128