albertorb

import numpy as np
import seaborn as sns
import pylab as plt

def plot_all_cat_distributions(dataframe, figsize = (20,40)):
    """ Plot every single category frequency distribution in the same cell"""
    max_shape = np.ceil(dataframe.shape[1] / 2)
    fig = plt.figure(figsize=figsize)
    for i, col in enumerate(dataframe.columns):
        plt.subplot(max_shape, 2, i+1)

albertorb

#!/bin/bash

POSITIONAL=()
while [[ $# -gt 0 ]]
do
key="$1"

case $key in
  -n|--name)
  Name="$2"

albertorb

# coding: utf-8

import numpy as np
import pandas as pd
import pickle
from scipy import misc
from tqdm import tqdm

def unpickle(file):