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@jakevdp
jakevdp / discrete_cmap.py
Last active August 26, 2024 01:46
Small utility to create a discrete matplotlib colormap
# By Jake VanderPlas
# License: BSD-style
import matplotlib.pyplot as plt
import numpy as np
def discrete_cmap(N, base_cmap=None):
"""Create an N-bin discrete colormap from the specified input map"""
@pprett
pprett / boston.json
Created October 1, 2012 18:28
Decision Tree Viewer (D3 and Sklearn)
{"error": 42716.2954, "samples": 506, "value": [22.532806324110698], "label": "RM <= 6.94", "type": "split", "children": [{"error": 17317.3210, "samples": 430, "value": [19.93372093023257], "label": "LSTAT <= 14.40", "type": "split", "children": [{"error": 6632.2175, "samples": 255, "value": [23.349803921568636], "label": "DIS <= 1.38", "type": "split", "children": [{"error": 390.7280, "samples": 5, "value": [45.58], "label": "CRIM <= 10.59", "type": "split", "children": [{"error": 0.0000, "samples": 4, "value": [50.0], "label": "Leaf - 4", "type": "leaf"}, {"error": 0.0000, "samples": 1, "value": [27.9], "label": "Leaf - 5", "type": "leaf"}]}, {"error": 3721.1632, "samples": 250, "value": [22.90520000000001], "label": "RM <= 6.54", "type": "split", "children": [{"error": 1636.0675, "samples": 195, "value": [21.629743589743576], "label": "LSTAT <= 7.57", "type": "split", "children": [{"error": 129.6307, "samples": 43, "value": [23.969767441860473], "label": "TAX <= 222.50", "type": "split", "children": [{"err
@achimnol
achimnol / sqlite_backup.py
Created June 30, 2012 03:13
A simple and safe SQLite3 backup script written in Python using ctypes + sqlite3 online backup API
#! /usr/bin/env python
# Of course, the author does not guarantee safety.
# I did my best by using SQLite's online backup API.
from __future__ import print_function
import sys, ctypes
from ctypes.util import find_library
SQLITE_OK = 0
SQLITE_ERROR = 1
SQLITE_BUSY = 5
@bagrow
bagrow / jet_colors.gnu
Created February 1, 2011 00:12
Love or hate the matlab jet colormap? Want it in gnuplot? Here's how to do it!
set palette defined (0 0.0 0.0 0.5, \
1 0.0 0.0 1.0, \
2 0.0 0.5 1.0, \
3 0.0 1.0 1.0, \
4 0.5 1.0 0.5, \
5 1.0 1.0 0.0, \
6 1.0 0.5 0.0, \
7 1.0 0.0 0.0, \
8 0.5 0.0 0.0 )