File:Dieselprice weekly germany2014.svg

#!/usr/bin/python
# -*- coding: utf8 -*-

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import string

fname = 'dieselprice_weekly_germany2014'

# deviations in percent from the average weekly price for diesel gasoline
# in Germany Nov2014 - Jun2015
# all values are spaced by 5 minutes starting at 0:00 on Monday morning
# source: Markttransparenzstelle für Kraftstoffe
diesel_pricedev_perc_week_5m = [
3.490, 3.496, 3.507, 3.507, 3.511, 3.511,
3.511, 3.508, 3.509, 3.514, 3.512, 3.512,
3.512, 3.515, 3.515, 3.518, 3.525, 3.525,
3.525, 3.528, 3.526, 3.526, 3.526, 3.526,
3.526, 3.527, 3.530, 3.530, 3.533, 3.533,
3.531, 3.534, 3.531, 3.534, 3.534, 3.534,
3.535, 3.546, 3.549, 3.551, 3.551, 3.552,
3.552, 3.553, 3.553, 3.553, 3.548, 3.551,
3.552, 3.546, 3.560, 3.555, 3.549, 3.544,
3.544, 3.550, 3.542, 3.539, 3.540, 3.537,
3.537, 3.455, 3.384, 3.362, 3.317, 3.129,
2.942, 2.837, 2.782, 2.748, 2.718, 2.693,
2.649, 2.621, 2.592, 2.560, 2.498, 2.395,
2.293, 2.226, 2.131, 2.082, 1.993, 1.937,
1.890, 1.837, 1.776, 1.715, 1.648, 1.570,
1.495, 1.436, 1.366, 1.331, 1.266, 1.228,
1.169, 1.121, 1.071, 1.024, 0.949, 0.874,
0.818, 0.768, 0.706, 0.648, 0.581, 0.534,
0.466, 0.427, 0.363, 0.308, 0.255, 0.188,
0.132, 0.073, 0.011, -0.043, -0.105, -0.152,
-0.209, -0.253, -0.314, -0.370, -0.417, -0.473,
-0.538, -0.583, -0.635, -0.674, -0.722, -0.764,
-0.811, -0.844, -0.900, -0.956, -1.009, -1.068,
-1.112, -1.160, -1.219, -1.264, -1.308, -1.356,
-1.417, -1.462, -1.518, -1.571, -1.613, -1.680,
-1.722, -1.778, -1.827, -1.870, -1.911, -1.962,
-1.990, -2.029, -2.070, -2.121, -2.163, -2.194,
-2.238, -2.266, -2.297, -2.336, -2.359, -2.386,
-2.425, -2.444, -2.495, -2.537, -2.584, -2.612,
-2.656, -2.673, -2.721, -2.743, -2.759, -2.807,
-2.827, -2.852, -2.885, -2.918, -2.949, -2.985,
-3.021, -3.038, -3.074, -3.094, -3.127, -3.160,
-3.172, -3.202, -3.238, -3.249, -3.280, -3.314,
-3.336, -3.363, -3.388, -3.404, -3.436, -3.458,
-3.491, -3.505, -3.527, -3.555, -3.576, -3.593,
-3.624, -3.635, -3.649, -3.673, -3.690, -3.704,
-3.715, -3.740, -3.759, -3.776, -3.793, -3.801,
-3.817, -3.829, -3.842, -3.853, -3.870, -3.878,
-3.884, -3.780, -3.777, -3.783, -3.796, -3.796,
-3.802, -3.812, -3.812, -3.823, -3.826, -3.831,
-3.831, -2.915, -2.745, -2.742, -2.731, -2.720,
-2.728, -2.689, -2.666, -2.647, -2.641, -2.632,
-2.623, -2.064, -1.455, -1.421, -1.423, -1.415,
-1.403, -1.389, -1.380, -1.380, -1.372, -1.363,
-0.807, 0.462, 0.783, 0.921, 0.964, 1.006,
1.020, 1.041, 1.066, 1.077, 1.189, 1.234,
1.431, 2.205, 2.806, 2.999, 3.281, 3.373,
3.436, 3.463, 3.500, 3.517, 3.526, 3.537,
3.538, 3.546, 3.546, 3.547, 3.547, 3.547,
3.550, 3.550, 3.556, 3.554, 3.554, 3.554,
3.555, 3.557, 3.563, 3.563, 3.569, 3.572,
3.575, 3.570, 3.576, 3.576, 3.576, 3.576,
3.579, 3.579, 3.582, 3.586, 3.586, 3.586,
3.586, 3.586, 3.587, 3.587, 3.587, 3.587,
3.588, 3.596, 3.596, 3.602, 3.602, 3.603,
3.606, 3.606, 3.604, 3.604, 3.604, 3.610,
3.613, 3.611, 3.613, 3.608, 3.605, 3.600,
3.598, 3.595, 3.593, 3.595, 3.593, 3.582,
3.579, 3.487, 3.432, 3.407, 3.374, 3.248,
3.074, 2.959, 2.897, 2.852, 2.813, 2.791,
2.746, 2.713, 2.682, 2.654, 2.590, 2.477,
2.357, 2.285, 2.190, 2.109, 2.032, 1.985,
1.910, 1.857, 1.807, 1.735, 1.665, 1.579,
1.498, 1.448, 1.379, 1.332, 1.264, 1.212,
1.154, 1.109, 1.067, 1.011, 0.959, 0.883,
0.811, 0.766, 0.693, 0.643, 0.598, 0.529,
0.479, 0.425, 0.367, 0.325, 0.249, 0.200,
0.143, 0.096, 0.035, -0.027, -0.085, -0.138,
-0.183, -0.228, -0.281, -0.342, -0.387, -0.460,
-0.504, -0.554, -0.594, -0.644, -0.686, -0.745,
-0.773, -0.820, -0.862, -0.927, -0.988, -1.024,
-1.080, -1.128, -1.184, -1.228, -1.273, -1.320,
-1.368, -1.404, -1.474, -1.519, -1.555, -1.628,
-1.667, -1.718, -1.773, -1.810, -1.844, -1.886,
-1.925, -1.950, -2.004, -2.037, -2.079, -2.115,
-2.154, -2.190, -2.221, -2.260, -2.293, -2.324,
-2.363, -2.385, -2.433, -2.461, -2.508, -2.538,
-2.581, -2.606, -2.637, -2.666, -2.692, -2.730,
-2.755, -2.779, -2.820, -2.838, -2.879, -2.909,
-2.941, -2.979, -2.995, -3.027, -3.052, -3.089,
-3.105, -3.138, -3.167, -3.189, -3.229, -3.250,
-3.280, -3.310, -3.344, -3.363, -3.388, -3.418,
-3.442, -3.460, -3.484, -3.517, -3.544, -3.563,
-3.579, -3.603, -3.630, -3.646, -3.662, -3.678,
-3.708, -3.716, -3.727, -3.746, -3.778, -3.791,
-3.802, -3.804, -3.823, -3.843, -3.856, -3.861,
-3.869, -3.778, -3.771, -3.776, -3.776, -3.787,
-3.793, -3.801, -3.806, -3.809, -3.816, -3.816,
-3.816, -2.979, -2.753, -2.745, -2.734, -2.728,
-2.714, -2.681, -2.649, -2.635, -2.627, -2.627,
-2.618, -2.071, -1.504, -1.459, -1.456, -1.442,
-1.439, -1.422, -1.417, -1.417, -1.406, -1.397,
-0.822, 0.357, 0.748, 0.880, 0.950, 1.007,
1.021, 1.043, 1.076, 1.092, 1.211, 1.255,
1.461, 2.211, 2.735, 2.980, 3.271, 3.326,
3.369, 3.410, 3.445, 3.456, 3.451, 3.473,
3.476, 3.479, 3.485, 3.485, 3.485, 3.489,
3.489, 3.497, 3.492, 3.492, 3.492, 3.530,
3.530, 3.535, 3.544, 3.547, 3.564, 3.567,
3.567, 3.570, 3.573, 3.576, 3.582, 3.580,
3.582, 3.583, 3.583, 3.583, 3.586, 3.586,
3.586, 3.589, 3.589, 3.590, 3.590, 3.590,
3.590, 3.596, 3.604, 3.604, 3.605, 3.607,
3.607, 3.608, 3.611, 3.608, 3.605, 3.608,
3.608, 3.598, 3.609, 3.609, 3.593, 3.590,
3.579, 3.578, 3.570, 3.573, 3.573, 3.554,
3.552, 3.472, 3.417, 3.393, 3.355, 3.203,
3.025, 2.909, 2.851, 2.819, 2.779, 2.755,
2.717, 2.676, 2.647, 2.614, 2.536, 2.412,
2.305, 2.222, 2.128, 2.063, 1.975, 1.916,
1.843, 1.804, 1.736, 1.672, 1.591, 1.518,
1.440, 1.381, 1.325, 1.260, 1.198, 1.142,
1.077, 1.039, 0.988, 0.932, 0.867, 0.794,
0.716, 0.675, 0.618, 0.554, 0.494, 0.440,
0.389, 0.337, 0.276, 0.222, 0.165, 0.100,
0.047, -0.002, -0.054, -0.127, -0.175, -0.221,
-0.275, -0.324, -0.369, -0.422, -0.483, -0.540,
-0.598, -0.645, -0.694, -0.742, -0.786, -0.836,
-0.886, -0.917, -0.977, -1.040, -1.100, -1.153,
-1.208, -1.250, -1.310, -1.349, -1.397, -1.456,
-1.491, -1.537, -1.590, -1.643, -1.700, -1.752,
-1.802, -1.854, -1.896, -1.951, -1.986, -2.021,
-2.069, -2.103, -2.153, -2.197, -2.226, -2.271,
-2.302, -2.325, -2.370, -2.401, -2.430, -2.474,
-2.511, -2.532, -2.574, -2.608, -2.650, -2.691,
-2.720, -2.749, -2.790, -2.814, -2.846, -2.874,
-2.897, -2.919, -2.950, -2.989, -3.010, -3.055,
-3.083, -3.117, -3.135, -3.162, -3.196, -3.216,
-3.242, -3.268, -3.297, -3.320, -3.349, -3.383,
-3.414, -3.443, -3.461, -3.492, -3.516, -3.544,
-3.563, -3.591, -3.607, -3.631, -3.659, -3.661,
-3.695, -3.725, -3.737, -3.763, -3.779, -3.797,
-3.808, -3.815, -3.849, -3.870, -3.878, -3.891,
-3.902, -3.930, -3.938, -3.946, -3.959, -3.958,
-3.969, -3.875, -3.864, -3.874, -3.885, -3.893,
-3.895, -3.898, -3.903, -3.905, -3.908, -3.910,
-3.910, -3.122, -2.873, -2.870, -2.846, -2.827,
-2.835, -2.780, -2.751, -2.738, -2.725, -2.722,
-2.709, -2.140, -1.571, -1.535, -1.532, -1.511,
-1.506, -1.495, -1.482, -1.477, -1.471, -1.460,
-0.912, 0.329, 0.660, 0.817, 0.861, 0.901,
0.927, 0.991, 1.007, 1.030, 1.154, 1.195,
1.413, 2.186, 2.713, 2.910, 3.193, 3.299,
3.348, 3.388, 3.423, 3.438, 3.447, 3.452,
3.466, 3.466, 3.472, 3.475, 3.481, 3.481,
3.478, 3.479, 3.482, 3.485, 3.482, 3.482,
3.483, 3.485, 3.494, 3.499, 3.516, 3.518,
3.516, 3.521, 3.524, 3.524, 3.524, 3.525,
3.527, 3.528, 3.528, 3.528, 3.531, 3.534,
3.531, 3.532, 3.532, 3.532, 3.532, 3.532,
3.533, 3.546, 3.549, 3.551, 3.551, 3.552,
3.552, 3.552, 3.566, 3.550, 3.545, 3.545,
3.545, 3.543, 3.559, 3.549, 3.541, 3.538,
3.531, 3.531, 3.529, 3.531, 3.526, 3.524,
3.522, 3.446, 3.388, 3.359, 3.317, 3.156,
2.995, 2.877, 2.814, 2.769, 2.712, 2.694,
2.644, 2.602, 2.576, 2.543, 2.485, 2.371,
2.251, 2.180, 2.083, 2.018, 1.948, 1.872,
1.810, 1.766, 1.704, 1.644, 1.560, 1.490,
1.404, 1.358, 1.282, 1.233, 1.175, 1.116,
1.048, 1.020, 0.958, 0.892, 0.845, 0.770,
0.700, 0.648, 0.578, 0.531, 0.465, 0.408,
0.356, 0.312, 0.249, 0.199, 0.132, 0.072,
0.007, -0.030, -0.100, -0.155, -0.202, -0.264,
-0.304, -0.348, -0.408, -0.455, -0.520, -0.570,
-0.625, -0.667, -0.727, -0.771, -0.813, -0.857,
-0.906, -0.943, -0.988, -1.050, -1.116, -1.152,
-1.204, -1.251, -1.301, -1.346, -1.406, -1.450,
-1.493, -1.547, -1.592, -1.647, -1.694, -1.756,
-1.806, -1.853, -1.900, -1.939, -1.984, -2.023,
-2.062, -2.091, -2.136, -2.185, -2.225, -2.258,
-2.301, -2.318, -2.360, -2.397, -2.426, -2.457,
-2.499, -2.514, -2.548, -2.593, -2.640, -2.663,
-2.697, -2.721, -2.765, -2.781, -2.817, -2.843,
-2.869, -2.898, -2.929, -2.950, -2.987, -3.021,
-3.058, -3.081, -3.115, -3.136, -3.170, -3.198,
-3.214, -3.232, -3.276, -3.292, -3.321, -3.355,
-3.386, -3.407, -3.444, -3.467, -3.488, -3.512,
-3.538, -3.548, -3.584, -3.602, -3.619, -3.642,
-3.665, -3.689, -3.701, -3.703, -3.716, -3.742,
-3.765, -3.781, -3.791, -3.805, -3.833, -3.846,
-3.857, -3.872, -3.880, -3.893, -3.903, -3.909,
-3.927, -3.833, -3.775, -3.770, -3.778, -3.788,
-3.798, -3.801, -3.801, -3.806, -3.806, -3.811,
-3.813, -3.079, -2.831, -2.793, -2.782, -2.739,
-2.736, -2.712, -2.691, -2.686, -2.681, -2.670,
-2.664, -2.154, -1.532, -1.493, -1.493, -1.477,
-1.469, -1.463, -1.452, -1.449, -1.444, -1.436,
-0.888, 0.259, 0.650, 0.820, 0.907, 0.951,
0.973, 0.991, 0.996, 1.012, 1.141, 1.175,
1.400, 2.204, 2.725, 2.937, 3.267, 3.311,
3.369, 3.396, 3.446, 3.457, 3.457, 3.467,
3.470, 3.476, 3.478, 3.478, 3.481, 3.484,
3.484, 3.484, 3.487, 3.488, 3.490, 3.493,
3.493, 3.499, 3.499, 3.502, 3.502, 3.502,
3.542, 3.545, 3.548, 3.551, 3.551, 3.551,
3.551, 3.551, 3.552, 3.552, 3.552, 3.552,
3.555, 3.552, 3.553, 3.553, 3.553, 3.553,
3.553, 3.575, 3.578, 3.578, 3.578, 3.578,
3.583, 3.583, 3.578, 3.584, 3.578, 3.579,
3.582, 3.585, 3.590, 3.582, 3.573, 3.573,
3.567, 3.568, 3.571, 3.571, 3.571, 3.553,
3.553, 3.461, 3.440, 3.411, 3.366, 3.171,
2.956, 2.852, 2.796, 2.773, 2.733, 2.713,
2.665, 2.629, 2.610, 2.572, 2.508, 2.368,
2.270, 2.192, 2.103, 2.046, 1.966, 1.906,
1.851, 1.812, 1.761, 1.696, 1.631, 1.550,
1.475, 1.421, 1.355, 1.312, 1.252, 1.200,
1.140, 1.098, 1.044, 0.994, 0.932, 0.865,
0.797, 0.742, 0.685, 0.628, 0.567, 0.516,
0.456, 0.403, 0.346, 0.284, 0.226, 0.167,
0.099, 0.052, -0.014, -0.082, -0.152, -0.208,
-0.252, -0.307, -0.359, -0.425, -0.490, -0.532,
-0.592, -0.639, -0.695, -0.747, -0.789, -0.839,
-0.885, -0.930, -0.988, -1.045, -1.106, -1.161,
-1.213, -1.252, -1.321, -1.354, -1.404, -1.449,
-1.498, -1.542, -1.603, -1.648, -1.705, -1.763,
-1.809, -1.875, -1.914, -1.966, -2.005, -2.047,
-2.084, -2.118, -2.170, -2.204, -2.243, -2.285,
-2.322, -2.358, -2.382, -2.429, -2.455, -2.483,
-2.528, -2.552, -2.596, -2.630, -2.680, -2.716,
-2.747, -2.774, -2.808, -2.831, -2.863, -2.888,
-2.917, -2.957, -2.975, -3.014, -3.048, -3.069,
-3.121, -3.136, -3.165, -3.199, -3.217, -3.237,
-3.256, -3.280, -3.317, -3.341, -3.368, -3.395,
-3.419, -3.441, -3.465, -3.499, -3.524, -3.545,
-3.572, -3.585, -3.609, -3.647, -3.668, -3.687,
-3.698, -3.725, -3.752, -3.765, -3.781, -3.791,
-3.815, -3.826, -3.845, -3.869, -3.880, -3.893,
-3.903, -3.910, -3.932, -3.946, -3.951, -3.956,
-3.962, -3.875, -3.867, -3.872, -3.880, -3.882,
-3.893, -3.898, -3.909, -3.914, -3.914, -3.916,
-3.913, -3.035, -2.858, -2.841, -2.825, -2.822,
-2.827, -2.811, -2.792, -2.759, -2.754, -2.746,
-2.735, -2.189, -1.580, -1.539, -1.533, -1.525,
-1.522, -1.511, -1.511, -1.508, -1.497, -1.488,
-0.931, 0.287, 0.620, 0.741, 0.793, 0.871,
0.926, 0.947, 0.961, 0.990, 1.101, 1.128,
1.344, 2.130, 2.619, 2.899, 3.219, 3.267,
3.327, 3.352, 3.395, 3.409, 3.417, 3.423,
3.426, 3.429, 3.443, 3.449, 3.452, 3.455,
3.453, 3.456, 3.459, 3.464, 3.464, 3.465,
3.465, 3.465, 3.471, 3.466, 3.469, 3.469,
3.469, 3.469, 3.475, 3.478, 3.478, 3.481,
3.482, 3.482, 3.485, 3.485, 3.491, 3.488,
3.489, 3.489, 3.489, 3.489, 3.490, 3.490,
3.493, 3.511, 3.512, 3.515, 3.515, 3.515,
3.515, 3.516, 3.519, 3.519, 3.511, 3.511,
3.512, 3.517, 3.526, 3.521, 3.518, 3.510,
3.502, 3.505, 3.503, 3.503, 3.500, 3.501,
3.493, 3.428, 3.373, 3.348, 3.324, 3.218,
3.091, 2.976, 2.941, 2.897, 2.870, 2.841,
2.809, 2.790, 2.771, 2.766, 2.725, 2.631,
2.559, 2.492, 2.449, 2.411, 2.371, 2.328,
2.294, 2.270, 2.227, 2.184, 2.115, 2.053,
1.966, 1.940, 1.869, 1.829, 1.770, 1.719,
1.682, 1.625, 1.564, 1.481, 1.419, 1.325,
1.247, 1.183, 1.113, 1.038, 0.970, 0.908,
0.846, 0.787, 0.723, 0.642, 0.572, 0.499,
0.432, 0.380, 0.302, 0.227, 0.157, 0.103,
0.035, -0.013, -0.096, -0.170, -0.227, -0.293,
-0.360, -0.417, -0.477, -0.525, -0.593, -0.636,
-0.690, -0.741, -0.806, -0.885, -0.944, -1.003,
-1.110, -1.103, -1.165, -1.217, -1.265, -1.322,
-1.378, -1.424, -1.483, -1.548, -1.605, -1.656,
-1.699, -1.755, -1.804, -1.861, -1.904, -1.947,
-2.012, -2.039, -2.088, -2.146, -2.179, -2.228,
-2.254, -2.306, -2.338, -2.383, -2.405, -2.437,
-2.480, -2.505, -2.550, -2.596, -2.639, -2.671,
-2.714, -2.748, -2.773, -2.813, -2.840, -2.862,
-2.888, -2.913, -2.950, -2.985, -3.014, -3.047,
-3.071, -3.101, -3.127, -3.157, -3.173, -3.199,
-3.226, -3.245, -3.267, -3.293, -3.317, -3.336,
-3.363, -3.373, -3.397, -3.416, -3.438, -3.467,
-3.475, -3.488, -3.512, -3.541, -3.555, -3.566,
-3.582, -3.598, -3.619, -3.629, -3.645, -3.653,
-3.674, -3.682, -3.701, -3.712, -3.720, -3.725,
-3.744, -3.757, -3.778, -3.786, -3.788, -3.799,
-3.804, -3.704, -3.704, -3.712, -3.717, -3.717,
-3.719, -3.725, -3.724, -3.735, -3.737, -3.734,
-3.737, -3.010, -2.744, -2.715, -2.707, -2.696,
-2.698, -2.663, -2.631, -2.614, -2.614, -2.614,
-2.605, -2.081, -1.551, -1.497, -1.494, -1.491,
-1.477, -1.458, -1.442, -1.436, -1.433, -1.422,
-1.044, 0.151, 0.497, 0.642, 0.749, 0.816,
0.838, 0.847, 0.855, 0.881, 1.009, 1.044,
1.210, 1.910, 2.436, 2.638, 2.939, 2.991,
3.031, 3.064, 3.108, 3.116, 3.119, 3.096,
3.098, 3.115, 3.118, 3.124, 3.124, 3.124,
3.127, 3.128, 3.131, 3.150, 3.150, 3.150,
3.171, 3.177, 3.188, 3.186, 3.200, 3.201,
3.198, 3.204, 3.204, 3.213, 3.216, 3.235,
3.218, 3.246, 3.246, 3.259, 3.259, 3.259,
3.259, 3.262, 3.263, 3.263, 3.263, 3.263,
3.279, 3.294, 3.300, 3.300, 3.303, 3.305,
3.303, 3.303, 3.303, 3.307, 3.298, 3.292,
3.293, 3.287, 3.304, 3.304, 3.299, 3.285,
3.282, 3.285, 3.285, 3.252, 3.255, 3.252,
3.250, 3.180, 3.133, 3.113, 3.090, 2.943,
2.782, 2.698, 2.651, 2.627, 2.593, 2.563,
2.531, 2.528, 2.513, 2.499, 2.470, 2.413,
2.370, 2.335, 2.292, 2.260, 2.229, 2.188,
2.168, 2.148, 2.119, 2.123, 2.087, 2.054,
2.006, 1.979, 1.939, 1.907, 1.870, 1.842,
1.810, 1.782, 1.729, 1.680, 1.623, 1.547,
1.469, 1.413, 1.340, 1.257, 1.202, 1.146,
1.088, 1.018, 0.940, 0.885, 0.810, 0.737,
0.665, 0.607, 0.520, 0.451, 0.381, 0.314,
0.259, 0.203, 0.119, 0.054, 0.002, -0.068,
-0.130, -0.180, -0.256, -0.323, -0.373, -0.423,
-0.476, -0.529, -0.596, -0.657, -0.733, -0.775,
-0.828, -0.886, -0.951, -0.995, -1.057, -1.102,
-1.144, -1.194, -1.247, -1.300, -1.353, -1.398,
-1.451, -1.502, -1.560, -1.591, -1.644, -1.681,
-1.716, -1.758, -1.797, -1.836, -1.870, -1.901,
-1.937, -1.965, -2.012, -2.049, -2.084, -2.122,
-2.146, -2.182, -2.227, -2.263, -2.293, -2.335,
-2.366, -2.399, -2.430, -2.463, -2.488, -2.516,
-2.541, -2.569, -2.605, -2.619, -2.650, -2.694,
-2.711, -2.741, -2.775, -2.806, -2.825, -2.847,
-2.867, -2.892, -2.917, -2.940, -2.950, -2.967,
-2.998, -3.020, -3.034, -3.044, -3.064, -3.078,
-3.100, -3.111, -3.128, -3.147, -3.173, -3.184,
-3.200, -3.209, -3.229, -3.237, -3.251, -3.273,
-3.284, -3.290, -3.312, -3.322, -3.328, -3.336,
-3.342, -3.355, -3.363, -3.372, -3.380, -3.392,
-3.400, -3.307, -3.307, -3.316, -3.318, -3.321,
-3.326, -3.329, -3.328, -3.328, -3.337, -3.342,
-3.342, -2.592, -2.376, -2.315, -2.304, -2.304,
-2.297, -2.244, -2.233, -2.230, -2.219, -2.213,
-2.204, -1.652, -1.095, -1.061, -1.064, -1.052,
-1.046, -1.032, -1.029, -1.026, -1.023, -1.009,
-0.541, 0.577, 0.979, 1.074, 1.121, 1.167,
1.170, 1.190, 1.198, 1.223, 1.335, 1.349,
1.531, 2.270, 2.802, 2.989, 3.286, 3.332,
3.376, 3.413, 3.441, 3.461, 3.476, 3.487
]

plt.close('all')
fig = plt.figure(figsize=(421/72., 321/72.))
ax = fig.gca()
plt.xlim(0, 7)
plt.ylim(-4.2, 4.2)
plt.title('Diesel')
plt.xlabel('Wochentag')
plt.ylabel('relative Preisabweichung')
plt.grid(True, linestyle='-', linewidth=0.4)
plt.grid(True, which='minor')

ax.yaxis.set_major_formatter(mpl.ticker.FormatStrFormatter('%+d %%'))
plt.gca().set_xticks(np.arange(7))
minorxticks = filter(lambda x: x!=int(x), np.arange(0, 7, 1/4.))
ax.set_xticks(minorxticks, minor=True)
ax.set_xticklabels([])
wd = ['Mo', 'Di', 'Mi', 'Do', 'Fr', 'Sa', 'So']
ax.set_xticklabels([wd[int(i)] if i-0.5 == int(i) else '' for i in minorxticks], minor=True)

fig.canvas.draw()
for l in ax.yaxis.get_gridlines():
    if l.get_ydata()[0] == 0.0:
        l.set_linewidth(1)

plt.plot(np.arange(0, 7, 1.0/(24*12)), diesel_pricedev_perc_week_5m, '-', lw=2.4)

plt.tight_layout()
plt.savefig(fname + '.svg')
f = open(fname + '.svg', 'r')
txt = string.replace(f.read(), 'pt', 'px', 2)
f.close()
f = open(fname + '.svg', 'w')
f.write(txt)
f.close()