georgerichardson

import pandas as pd
import seaborn as sns


def order_by_correlation_cluster(data: pd.DataFrame, x: str, y: str, values: str) -> pd.DataFrame:
    """Takes a tidy dataframe, pivots it, and creates a clustermap based on 
    correlations between rows. Returns the original data with a new 'order' 
    column that contains the cardinal ordering of the y axis from the clustermap.
    Made with plotting in altair in mind.
    """

georgerichardson

georgerichardson

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jan  2 17:07:42 2019

@author: jdjumalieva
"""

import pandas as pd
import os

georgerichardson

import string

def standardise_column_names(df, remove_punct=True):
    """ Converts all DataFrame column names to lower case replacing
    whitespace of any length with a single underscore. Can also strip
    all punctuation from column names.
    
    Parameters
    ----------
    df: pandas.DataFrame

georgerichardson

from datetime import datetime

def timestamp_string(string, file_ext=True, hidden_file=False):
    """ Adds a timestamp to the end of a string in the format
    YYYY_MM_DD_hhmm.
    
    Parameters:
    string: str
        string to be timestamped
    file_ext: bool

georgerichardson

set nocompatible              " be iMproved, required
filetype off                  " required

" set the runtime path to include Vundle and initialize
set rtp+=~/.vim/bundle/Vundle.vim
call vundle#begin()
" alternatively, pass a path where Vundle should install plugins
"call vundle#begin('~/some/path/here')

" let Vundle manage Vundle, required

georgerichardson

with open('file.txt', 'r') as f:
    text = f.read()
lines_list = text.split('\n')

georgerichardson

import pandas as pd
from sqlalchemy import create_engine
from sqlalchemy.engine.url import URL

# db settings to make url (could be in external file) 
db_settings = {'drivername': <database driver>, # 'postgres', 'mysql' etc.
                'host': <host address>, # 'localhost' etc.
                'username': <username>,
                'password': <password>,
                'database': <database name>