#!/usr/bin/env python
# coding: utf-8

# In[150]:


import pandas as pd
import numpy as np
import datetime

get_ipython().run_line_magic('matplotlib', 'inline')


# In[177]:


employee = pd.read_csv('data/employee.csv', 
                       parse_dates=['JOB_DATE', 'HIRE_DATE'], 
                       index_col='HIRE_DATE')
'groupby' in dir(employee.resample('10AS'))


# In[ ]:





65f5f3fa42b8cd3f0e59ffa88803be0fa8ef81cc
<mask token>

<mask token>
get_ipython().run_line_magic('matplotlib', 'inline')
<mask token>
'groupby' in dir(employee.resample('10AS'))

<mask token>
get_ipython().run_line_magic('matplotlib', 'inline')
employee = pd.read_csv('data/employee.csv', parse_dates=['JOB_DATE',
    'HIRE_DATE'], index_col='HIRE_DATE')
'groupby' in dir(employee.resample('10AS'))

import pandas as pd
import numpy as np
import datetime
get_ipython().run_line_magic('matplotlib', 'inline')
employee = pd.read_csv('data/employee.csv', parse_dates=['JOB_DATE',
    'HIRE_DATE'], index_col='HIRE_DATE')
'groupby' in dir(employee.resample('10AS'))

#!/usr/bin/env python
# coding: utf-8

# In[150]:


import pandas as pd
import numpy as np
import datetime

get_ipython().run_line_magic('matplotlib', 'inline')


# In[177]:


employee = pd.read_csv('data/employee.csv', 
                       parse_dates=['JOB_DATE', 'HIRE_DATE'], 
                       index_col='HIRE_DATE')
'groupby' in dir(employee.resample('10AS'))


# In[ ]:




