In [1]:

    

from memorytools import summarize_objects

import pandas as pd


    

In [2]:

    

summarize_objects()


    

    




---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-2-c46dbac041c7> in <module>()
----> 1 summarize_objects()

/Users/ericmjl/Documents/github/memory-tools/src/memorytools/__init__.py in summarize_objects(objs, echo, limit)
     90     objs = gc.get_objects()
     91 
---> 92   objs_dict = _summarize_objects(objs)
     93   size_summary = ['{0:>10s} {1:>5s} {2}'.format('Size', 'Count', 'Type')]
     94   count_summary = ['{0:>5s} {1:>10s} {2}'.format('Count', 'Size', 'Type')]

/Users/ericmjl/Documents/github/memory-tools/src/memorytools/__init__.py in _summarize_objects(objs)
    133   for obj in objs:
    134     _incr(objs_dict, type(obj), 'count')
--> 135     _incr(objs_dict, type(obj), 'size', sys.getsizeof(obj))
    136 
    137   return objs_dict

/Users/ericmjl/anaconda/lib/python3.5/site-packages/pandas/core/base.py in __sizeof__(self)
    128         # no memory_usage attribute, so fall back to
    129         # object's 'sizeof'
--> 130         return super(self, PandasObject).__sizeof__()
    131 
    132 

TypeError: must be type, not FrozenList

In [3]:

    

pd.show_versions()


    

    




INSTALLED VERSIONS
------------------
commit: None
python: 3.5.1.final.0
python-bits: 64
OS: Darwin
OS-release: 15.5.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_CA.UTF-8

pandas: 0.18.1
nose: 1.3.7
pip: 8.1.2
setuptools: 18.2
Cython: 0.23.4
numpy: 1.11.0
scipy: 0.17.1
statsmodels: 0.6.1
xarray: None
IPython: 4.1.1
sphinx: 1.3.5
patsy: 0.4.1
dateutil: 2.4.2
pytz: 2015.4
blosc: None
bottleneck: 1.0.0
tables: None
numexpr: None
matplotlib: 1.4.3
openpyxl: 2.3.2
xlrd: 0.9.4
xlwt: 1.0.0
xlsxwriter: 0.8.4
lxml: 3.6.0
bs4: 4.4.1
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.12
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.39.0
pandas_datareader: None

In [ ]:

    

# Open the data file that contains the HIV protease data

df = pd.read_csv('../data/hiv_data/hiv-protease-data-expanded.csv', index_col=0)
df = df.dropna(subset=['FPV'])
df.head()