This is not the same as using edges as in the example below, hence also the plots look different. p.binwise(x=dm.Edges(np.linspace(-3,3,10))).quantile(q=[0.1,0.3,0.5,0.7,0.9]).plot_bands(lines=True,filled=True,linestyles=[':','--','-'],lw=1) ...
import matplotlib.ticker as ticker import math @@ -438,6 +439,8 @@ def write_readme(self, file_path, parametric_eq_peqs=None, fixed_band_eq_peq=Non filter_ranges = '' preamps = '' for i, peq in enumerate(parametric_eq_peqs): peq = deepcopy(peq) peq.sort_filters() for filt...
Populating the interactive namespace from numpy and matplotlib def generate_HT(): ''' Function to generate random number to represent head (1) or tail (0) in a coin toss. What I did here is to generate an integer number between 0 and 4, and if it is one, then return ...
"import matplotlib.pyplot as plt\n", "from itertools import cycle\n", "\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "AMT_path = '/data...
import matplotlib.ticker as ticker import math @@ -438,6 +439,8 @@ def write_readme(self, file_path, parametric_eq_peqs=None, fixed_band_eq_peq=Non filter_ranges = '' preamps = '' for i, peq in enumerate(parametric_eq_peqs): peq = deepcopy(peq) peq.sort_filters() for filt...