Lee MacKenzie Fischer kingfischer16

## useful_pandas_snippets.py
#List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

#Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

#Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(value_list)]

## num.py
"""
Bisection, Secant & Newton Raphson Method.
"""

import math
"""
* Variable Description:
*
* f			:	Given function
* f_		:	Derivative of f
	#List unique values in a DataFrame column
	pd.unique(df.column_name.ravel())

	#Convert Series datatype to numeric, getting rid of any non-numeric values
	df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

	#Grab DataFrame rows where column has certain values
	valuelist = ['value1', 'value2', 'value3']
	df = df[df.column.isin(value_list)]
	"""
	Bisection, Secant & Newton Raphson Method.
	"""

	import math
	"""
	* Variable Description:
	*
	* f : Given function
	* f_ : Derivative of f