Shubhanshu Mishra napsternxg

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

	# Visualise a latex document git history

	# loop through commits, create a PDF from your main file for each
	# translate the pages of that PDF to a single image
	# create GIF/mp4 from the folder of images created

	# run within your local repository
	# prerequisites: ImageMagick and FFmpeg

	# create output folder

	# "Colorizing B/W Movies with Neural Nets",
	# Network/Code Created by Ryan Dahl, hacked by samim.io to work with movies
	# BACKGROUND: http://tinyclouds.org/colorize/
	# DEMO: https://www.youtube.com/watch?v=_MJU8VK2PI4
	# USAGE:
	# 1. Download TensorFlow model from: http://tinyclouds.org/colorize/
	# 2. Use FFMPEG or such to extract frames from video.
	# 3. Make sure your images are 224x224 pixels dimension. You can use imagemagicks "mogrify", here some useful commands:
	# mogrify -resize 224x224 *.jpg
	# mogrify -gravity center -background black -extent 224x224 *.jpg

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)