myazdani

import pandas as pd
import csv

glove_df = pd.read_csv("glove.6B.50d.txt.zip", sep=" ", index_col=0, header=None, 
                       quoting=csv.QUOTE_NONE)


"new york" in glove_df.index

vocabs = list(glove_df.index)

myazdani

# jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10

import plotly.graph_objs as go

import plotly.graph_objs as go
import plotly.offline as offline
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot

offline.init_notebook_mode()

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myazdani

import os

directory = "sample_dir"

if not os.path.exists(directory):
    os.makedirs(directory)

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ls *.png | awk '{print("mv "$1" "$1)}' | sed 's/png/jpg/2' | /bin/sh

myazdani

import os
from PIL import Image

src_path = "./testing2/"
out_path =  "./"
basewidth = 75

image_type = (".jpg", ".png", ".JPG", ".PNG", ".JPEG", ".tif", ".tiff", ".TIFF")

image_paths = []  

myazdani

import pandas as pd
import os
import shutil
import sys

if len(sys.argv) < 1:
	print "provide CSV file argument, followed by target directory argument,",\
	" followed by which column to use from csv file (optional)"
elif len(sys.argv) < 4:
	in_file = sys.argv[1]

myazdani

import os
import shutil

src_path = "/Users/myazdaniUCSD/Desktop/hourly_colors/"
num_chunks = 6
target_path = "/Users/myazdaniUCSD/Desktop/some_dir/"

def chunks(l, n):
    """ Yield successive n-sized chunks from l.
    """

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def chunks(l, n):
    """ Yield successive n-sized chunks from l.
    """
    for i in xrange(0, len(l), n):
        yield l[i:i+n]

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normalized.probs = function(x) {return(x/sum(x))}

res.H = relevant.images[,normalized.probs(.SD), by = filename.path, .SDcols = paste0("H", c(1:180))]