#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Time    : 2017-11-23 20:18
# Author  : MrFiona
# File    : 贷款额度预测.py
# Software: PyCharm Community Edition


import pandas as pd
import numpy as np

path = r'./datas/train_u6lujuX_CVtuZ9i.csv'
df = pd.read_csv(path,header=0, sep=',')
# print df.info()

def num_missing(x):
    return sum(x.isnull())

print(df.apply(num_missing, axis=0))
15eadfa31c72ec929de530cbbb230a87b87eed33
<mask token>


def num_missing(x):
    return sum(x.isnull())


<mask token>

<mask token>


def num_missing(x):
    return sum(x.isnull())


print(df.apply(num_missing, axis=0))

<mask token>
path = './datas/train_u6lujuX_CVtuZ9i.csv'
df = pd.read_csv(path, header=0, sep=',')


def num_missing(x):
    return sum(x.isnull())


print(df.apply(num_missing, axis=0))

import pandas as pd
import numpy as np
path = './datas/train_u6lujuX_CVtuZ9i.csv'
df = pd.read_csv(path, header=0, sep=',')


def num_missing(x):
    return sum(x.isnull())


print(df.apply(num_missing, axis=0))

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Time    : 2017-11-23 20:18
# Author  : MrFiona
# File    : 贷款额度预测.py
# Software: PyCharm Community Edition


import pandas as pd
import numpy as np

path = r'./datas/train_u6lujuX_CVtuZ9i.csv'
df = pd.read_csv(path,header=0, sep=',')
# print df.info()

def num_missing(x):
    return sum(x.isnull())

print(df.apply(num_missing, axis=0))