问题描述
// transform data into bins
bins_hist = np.linspace( data.min(),data.max(),40)
quantity,bins = np.histogram(data,bins_hist,density = True)
bins_mean = (bins [1:]+bins [:-1])/2
// initialise model
mod = GaussianModel()
// perform fit
pars = mod.guess(quantity,x=bins_mean )
out = mod.fit(quantity,pars,x=bins_mean )
// get output values
mu = out.params['center'].value
mu_stderr = out.params['center'].stderr
sigma = out.params['sigma'].value
sigma_stderr = out.params['sigma'].stderr
我需要从For循环的结果中创建列表或数组的帮助。
解决方法
使用列表理解。
u = [s**-1*500 for s in range(1,30)]
注意:
range
的默认步骤是1
,因此可以在此处跳过。
列表理解通常比在for
循环中向列表中添加元素要快。这也是执行此类任务的更Python方式。
# Create an empty list
item_list = []
for s in u:
# Append each item to list.
item_list.append(s**-1*500)
,
您有2种方法。
For循环
<script src="https://d3js.org/d3.v6.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.4/Chart.min.js" integrity="sha512-d9xgZrVZpmmQlfonhQUvTR7lMPtO7NkZMkA0ABN3PHCbKA5nqylQ/yWlFAyY6hYgdF1Qh6nYiuADWwKB4C2WSw==" crossorigin="anonymous"></script>
<p>
Please enter x axis and y axis correctly,else you wouldnt get correct graph
</p>
x labels :
<input type="text" id="xLabel" value="source" /> y labels :
<input type="text" id="yLabel" />
<button onclick="myFunction()">Generate graph</button>
<p id="y_one"></p>
<p id="x_one"></p>
<canvas id="chart"></canvas>
列表理解
u = range(1,30,1)
values = []
for s in u:
values.append(s**-1*500)
使用适合您需求的