LeonardAukea

import requests
import json

def geolocate_ip(ip):
    '''Get location data based on ip.

    Note: Limited (Free) to a 1000 requests per day.
    TODO(Leonard): Handler for being behind a vpn

    Inputs:

LeonardAukea

def parse_tuple(string):
    '''Parse a string like '(23.0,11.3)' to tuple of floats.'''
    try:
        s = eval(str(string))
        if type(s) == tuple:
            return s
        return
    except:
        return

LeonardAukea

from geopandas import GeoDataFrame
from shapely.geometry import Point


def to_gdf(df, lon, lat, crs={'init': 'epsg:4326'}):
    '''Converts a pandas dataframe with coordinate columns to a geopandas dataframe.
    Inputs:
        df: pandas dataframe
        lon: str; name of longitude column
        lat: str; name of Latitude column

LeonardAukea

def overlapped_bar(df, show=False, width=0.9, alpha=.5,
                   title='', xlabel='', ylabel='', **plot_kwargs):
    """Like a stacked bar chart except bars on top of each other with transparency"""
    xlabel = xlabel or df.index.name
    N = len(df)
    M = len(df.columns)
    indices = np.arange(N)
    colors = ['steelblue', 'firebrick', 'darksage', 'goldenrod', 'gray'] * int(M / 5. + 1)
    for i, label, color in zip(range(M), df.columns, colors):
        kwargs = plot_kwargs

LeonardAukea

from shapely.geometry import *

def remove_third_dimension(geom):
    if geom.is_empty:
        return geom

    if isinstance(geom, Polygon):
        exterior = geom.exterior
        new_exterior = remove_third_dimension(exterior)

LeonardAukea

def dualExplode(row):
    """Explode weights and category_ids list elements to separate rows.
    Args:
        row: Row
    Yield:
        Row(**newDict)
    """
    rowDict = row.asDict()
    xList = rowDict.pop('x')
    yList = rowDict.pop('y')