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# push subfolder in git repo called "app" to heroku | |
git push heroku `git subtree split --prefix app master`:master --force | |
### | |
pd.set_option('max_colwidth', 400) | |
from IPython.display import display | |
with pd.option_context("display.max_columns", 50): | |
display(df.head(2)) | |
from IPython.core.debugger import Tracer; Tracer()() | |
### | |
from __future__ import division | |
import pandas as pd | |
import warnings | |
import seaborn as sns | |
import matplotlib.pyplot as plt | |
from pylab import rcParams | |
%matplotlib inline | |
warnings.filterwarnings("ignore", category=DeprecationWarning) | |
sns.set_style("whitegrid") | |
sns.set_context("poster") | |
rcParams['figure.figsize'] = 20, 5 | |
from scipy.sparse import csc_matrix | |
from zipcode_mapping import zipcode_mapping | |
## | |
# grep recursively through files of a certain type, such as .py files | |
grep -R --include="*.py" "pattern" /path/to/dir | |
find . -name *simple* | |
## | |
def dummify(df, column): | |
# from Darren's linear regression slides | |
print '{} is your baseline'.format(sorted(df[column].unique())[-1]) | |
dummy = pd.get_dummies(df[column]).rename(columns=lambda x: column+'_'+str(x)).iloc[:,0:len(df[column].unique())-1] | |
df = df.drop(column,axis=1) #Why not inplace? because if we do inplace, it will affect the df directly | |
return pd.concat([df,dummy],axis=1) | |
## | |
with pd.option_context("display.max_rows", 200): | |
display(df) |
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