Pasted from IPython

file1.py

import pandas as pd
import numpy as np
import sys
sys.version_info
print sys.version_info
pd.version
pd.__version__
t = np.linspace(1,27,27).reshape(3,3,3)
pan = pd.Panel(t)
print pan
np.linspace??
np.linspace?
np.linspace(1,27,27)
np.linspace(1,27,27).reshape(3,3,3)
np.linspace(1,27,27).reshape(3,3,3)[0]
np.linspace(1,27,27).reshape(3,3,3)[0][0]
np.linspace(1,27,27).reshape(3,3,3)[0][0][0]
print pan
pan
t
pan.ix[0,:,:]
pan.ix[:,:,:]
pan.ix[:,0,:]
pan.ix[:,:,0]
pan.ix[1,:,:]
pan.ix?
pan.ix??
pan.ix[0,:,:]
type(pan.ix[0,:,:])
print pan.ix[0,:,:]
print pan.ix[0,0,0]
type(pan.ix[0,0,0])
df1 = pd.read_csv('data.csv') #no index
touch data.csv
ls
cd ..
cd ..
cd ..
cd scripts_temp/
df1 = pd.read_csv('data.csv') #no index
df1 = pd.read_csv('emacs_shortcuts.csv') #no index
df1 = pd.read_csv('emacs_shortcuts.csv')
ls *.csv
cat namebench_2013-12-27_0028.csv
df1 = pd.read_csv('namebench_2013-12-27_0028.csv')
df1.index
df1.keys
df1.values
df1.keys
pan1 = df1.to_panel()
ls
cd ..
cd temp/codeRiddles/gramener/
ls
df1 = pd.read_csv('salaries.csv')
pan1 = df1.to_panel()
df1
ls
df1.set_index(['City','Job'])
df1 = df1.set_index(['City','Job'])
df2 = pd.read_csv('salaries.csv', index_cols=[0,1])
df2 = pd.read_csv('salaries.csv', index_col=[0,1])
df1.swaplevel('Job','City')
pan1 = df1.to_panel()
pan1
%pastebin 1-65
dt_idx = pd.DatetimeIndex(start='2014-01-01', end='2014-02-28', freq='D')
dt_series = pd.Series(range(len(dt_idx)), index = dt_idx)
dt_series.groupby(lambda x: x.month).sum()
pd.DatetimeIndex??
df1.unstack(level=1)
df1.unstack(level=1)..columns
df1.unstack(level=1).columns
df1.unstack(level=2).columns
df1.unstack(level=0).columns
df1.unstack(level=0)
df1.unstack(level=1)
df1.unstack(level=2)
df1.unstack(level=0)
df1.unstack(level=2)
df1.unstack(level=0)
df1.unstack(level=1)
df1
df1.unstack(level=1).columns
%pastebin 1-65