Matplotlib is a Python-based plotting library similar to Matlab. It provides a similar set of command APIs, which is very suitable for interactive drawing. We can easily use it as a drawing control and embed it in a GUI application. It contains a large number of tools that can be used ...
importnumpyasnpimportmatplotlib.pyplotasplt# 初始条件definitial_condition(x):u0=np.zeros_like(x)foriinrange(len(x)):if0.5<=x[i]<=1.0:u0[i]=2.0else:u0[i]=1.0returnu0# 理论解defanalytical_solution(x,t,a,L):# 初始条件沿 x - at 平移x_shifted=x-a*treturninitial_condition((x_shifte...
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...
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) ...
importnumpyasnpimportmatplotlib.pyplotasplt# 初始条件definitial_condition(x):u0=np.zeros_like(x)foriinrange(len(x)):if0.5<=x[i]<=1.0:u0[i]=2.0else:u0[i]=1.0returnu0# 理论解defanalytical_solution(x,t,a,L):# 初始条件沿 x - at 平移x_shifted=x-a*treturninitial_condition((x_shifte...
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 ...
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...
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...