/
utilities.py
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/
utilities.py
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# -*- coding: utf-8 -*-
'''
Utilities
-------
Utility module for Folium helper functions.
'''
from __future__ import print_function
from __future__ import division
import math
from jinja2 import Environment, PackageLoader, Template
try:
import pandas as pd
except ImportError:
pd = None
try:
import numpy as np
except ImportError:
np = None
def get_templates():
'''Get Jinja templates'''
return Environment(loader=PackageLoader('folium', 'templates'))
def legend_scaler(legend_values, max_labels=10.0):
'''
Downsamples the number of legend values so that there isn't a collision
of text on the legend colorbar (within reason). The colorbar seems to
support ~10 entries as a maximum
'''
import math
if len(legend_values)<max_labels:
legend_ticks = legend_values
else:
spacer = int(math.ceil(len(legend_values)/max_labels))
legend_ticks = []
for i in legend_values[::spacer]:
legend_ticks += [i]
legend_ticks += ['']*(spacer-1)
return legend_ticks
def linear_gradient(hexList, nColors):
"""Given a list of hexcode values, will return a list of length
nColors where the colors are linearly interpolated between the
(r, g, b) tuples that are given.
Example:
linear_gradient([(0, 0, 0), (255, 0, 0), (255, 255, 0)], 100)
"""
def _scale(start, finish, length, i):
"""Return the value correct value of a number that is inbetween start
and finish, for use in a loop of length *length*"""
base=16
fraction = float(i) / (length - 1)
raynge = int(finish, base) - int(start, base)
thex = hex(int(int(start, base) + fraction * raynge)).split('x')[-1]
if len(thex)!=2:
thex ='0' + thex
return thex
allColors = []
# separate (r, g, b) pairs
for start, end in zip(hexList[:-1], hexList[1:]):
# linearly intepolate between pair of hex ###### values and add to list
nInterpolate = 765
for index in range(nInterpolate):
r = _scale(start[1:3], end[1:3], nInterpolate, index)
g = _scale(start[3:5], end[3:5], nInterpolate, index)
b = _scale(start[5:7], end[5:7], nInterpolate, index)
allColors.append(''.join(['#',r,g,b]))
# pick only nColors colors from the total list
result = []
for counter in range(nColors):
fraction = float(counter) / (nColors - 1)
index = int(fraction * (len(allColors) - 1))
result.append(allColors[index])
return result
def color_brewer(color_code, n=6):
'''Generate a colorbrewer color scheme of length 'len', type 'scheme.
Live examples can be seen at http://colorbrewer2.org/'''
maximum_n = 253
scheme_info = {'BuGn': 'Sequential',
'BuPu': 'Sequential',
'GnBu': 'Sequential',
'OrRd': 'Sequential',
'PuBu': 'Sequential',
'PuBuGn': 'Sequential',
'PuRd': 'Sequential',
'RdPu': 'Sequential',
'YlGn': 'Sequential',
'YlGnBu': 'Sequential',
'YlOrBr': 'Sequential',
'YlOrRd': 'Sequential',
'BrBg': 'Diverging',
'PiYG': 'Diverging',
'PRGn': 'Diverging',
'PuOr': 'Diverging',
'RdBu': 'Diverging',
'RdGy': 'Diverging',
'RdYlBu': 'Diverging',
'RdYlGn': 'Diverging',
'Spectral': 'Diverging',
'Accent': 'Qualitative',
'Dark2': 'Qualitative',
'Paired': 'Qualitative',
'Pastel1': 'Qualitative',
'Pastel2': 'Qualitative',
'Set1': 'Qualitative',
'Set2': 'Qualitative',
'Set3': 'Qualitative',
}
schemes = {'BuGn': ['#EDF8FB', '#CCECE6', '#CCECE6', '#66C2A4', '#41AE76',
'#238B45', '#005824'],
'BuPu': ['#EDF8FB', '#BFD3E6', '#9EBCDA', '#8C96C6', '#8C6BB1',
'#88419D', '#6E016B'],
'GnBu': ['#F0F9E8', '#CCEBC5', '#A8DDB5', '#7BCCC4', '#4EB3D3',
'#2B8CBE', '#08589E'],
'OrRd': ['#FEF0D9', '#FDD49E', '#FDBB84', '#FC8D59', '#EF6548',
'#D7301F', '#990000'],
'PuBu': ['#F1EEF6', '#D0D1E6', '#A6BDDB', '#74A9CF', '#3690C0',
'#0570B0', '#034E7B'],
'PuBuGn': ['#F6EFF7', '#D0D1E6', '#A6BDDB', '#67A9CF', '#3690C0',
'#02818A', '#016450'],
'PuRd': ['#F1EEF6', '#D4B9DA', '#C994C7', '#DF65B0', '#E7298A',
'#CE1256', '#91003F'],
'RdPu': ['#FEEBE2', '#FCC5C0', '#FA9FB5', '#F768A1', '#DD3497',
'#AE017E', '#7A0177'],
'YlGn': ['#FFFFCC', '#D9F0A3', '#ADDD8E', '#78C679', '#41AB5D',
'#238443', '#005A32'],
'YlGnBu': ['#FFFFCC', '#C7E9B4', '#7FCDBB', '#41B6C4', '#1D91C0',
'#225EA8', '#0C2C84'],
'YlOrBr': ['#FFFFD4', '#FEE391', '#FEC44F', '#FE9929', '#EC7014',
'#CC4C02', '#8C2D04'],
'YlOrRd': ['#FFFFB2', '#FED976', '#FEB24C', '#FD8D3C', '#FC4E2A',
'#E31A1C', '#B10026'],
'BrBg': ['#8c510a', '#d8b365', '#f6e8c3', '#c7eae5', '#5ab4ac', '#01665e'],
'PiYG': ['#c51b7d', '#e9a3c9', '#fde0ef', '#e6f5d0', '#a1d76a', '#4d9221'],
'PRGn': ['#762a83', '#af8dc3', '#e7d4e8', '#d9f0d3', '#7fbf7b', '#1b7837'],
'PuOr': ['#b35806', '#f1a340', '#fee0b6', '#d8daeb', '#998ec3', '#542788'],
'RdBu': ['#b2182b', '#ef8a62', '#fddbc7', '#d1e5f0', '#67a9cf', '#2166ac'],
'RdGy': ['#b2182b', '#ef8a62', '#fddbc7', '#e0e0e0', '#999999', '#4d4d4d'],
'RdYlBu': ['#d73027', '#fc8d59', '#fee090', '#e0f3f8', '#91bfdb', '#4575b4'],
'RdYlGn': ['#d73027', '#fc8d59', '#fee08b', '#d9ef8b', '#91cf60', '#1a9850'],
'Spectral': ['#d53e4f' '#fc8d59' '#fee08b' '#e6f598' '#99d594' '#3288bd'],
'Accent': ['#7fc97f', '#beaed4', '#fdc086', '#ffff99', '#386cb0', '#f0027f'],
'Dark2': ['#1b9e77', '#d95f02', '#7570b3', '#e7298a', '#66a61e', '#e6ab02'],
'Paired': ['#a6cee3', '#1f78b4', '#b2df8a', '#33a02c', '#fb9a99', '#e31a1c'],
'Pastel1': ['#fbb4ae', '#b3cde3', '#ccebc5', '#decbe4', '#fed9a6', '#ffffcc'],
'Pastel2': ['#b3e2cd', '#fdcdac', '#cbd5e8', '#f4cae4', '#e6f5c9', '#fff2ae'],
'Set1': ['#e41a1c', '#377eb8', '#4daf4a', '#984ea3', '#ff7f00', '#ffff33'],
'Set2': ['#66c2a5', '#fc8d62', '#8da0cb', '#e78ac3', '#a6d854', '#ffd92f'],
'Set3': ['#8dd3c7', '#ffffb3', '#bebada', '#fb8072', '#80b1d3', '#fdb462'],
}
#Raise an error if the n requested is greater than the maximum
if n > maximum_n:
raise ValueError("The maximum number of colors in a ColorBrewer sequential color series is 253")
#Only if n is greater than six do we interpolate values
if n > 6:
if color_code not in schemes:
color_scheme= None
else:
#Check to make sure that it is not a qualitative scheme
if scheme_info[color_code]=='Qualitative':
raise ValueError("Expanded color support is not available for Qualitative schemes, restrict number of colors to 6")
else:
color_scheme = linear_gradient(schemes.get(color_code), n)
else:
color_scheme = schemes.get(color_code, None)
return color_scheme
def transform_data(data):
'''Transform Pandas DataFrame into JSON format
Parameters
----------
data: DataFrame or Series
Pandas DataFrame or Series
Returns
-------
JSON compatible dict
Example
-------
>>>transform_data(df)
'''
if pd is None:
raise ImportError("The Pandas package is required for this functionality")
if np is None:
raise ImportError("The NumPy package is required for this functionality")
def type_check(value):
'''Type check values for JSON serialization. Native Python JSON
serialization will not recognize some Numpy data types properly,
so they must be explictly converted.'''
if pd.isnull(value):
return None
elif (isinstance(value, pd.tslib.Timestamp) or
isinstance(value, pd.Period)):
return time.mktime(value.timetuple())
elif isinstance(value, (int, np.integer)):
return int(value)
elif isinstance(value, (float, np.float_)):
return float(value)
elif isinstance(value, str):
return str(value)
else:
return value
if isinstance(data, pd.Series):
json_data = [{type_check(x): type_check(y) for x, y in data.iteritems()}]
elif isinstance(data, pd.DataFrame):
json_data = [{type_check(y): type_check(z) for x, y, z in data.itertuples()}]
return json_data
def split_six(series=None):
'''Given a Pandas Series, get a domain of values from zero to the 90% quantile
rounded to the nearest order-of-magnitude integer. For example, 2100 is rounded
to 2000, 2790 to 3000.
Parameters
----------
series: Pandas series, default None
Returns
-------
list
'''
if pd is None:
raise ImportError("The Pandas package is required for this functionality")
if np is None:
raise ImportError("The NumPy package is required for this functionality")
def base(x):
if x > 0:
base = pow(10, math.floor(math.log10(x)))
return round(x/base)*base
else:
return 0
quants = [0, 50, 75, 85, 90]
# Some weirdness in series quantiles a la 0.13
arr = series.values
return [base(np.percentile(arr, x)) for x in quants]