[Tutor] Fwd: Plotting baseline to my CV

[Alan Gauld]

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Subject: 	Re: [Tutor] Plotting baseline to my CV
To: 	Alan Gauld <alan.gauld at yahoo.co.uk>
Content-Type: 	multipart/related; boundary="000000000000d76b6105f8f06095"
Content-Length: 	144320



import matplotlib.pyplot as plt
import numpy as np 
import os
import pandas as pd
import scipy
from scipy import signal
from scipy.io <http://scipy.io/> import loadmat 
import re

os.chdir('C:\Maddy - Research\Medtronic Project\Raw Data')

x = nD['Trace_1_26_3_2'][:,1]
y = nD['Trace_1_26_3_1'][:,1]
smoothy = signal.savgol_filter(y,40,3)

#rflat_start = np.array(())
#rflat_end = np.array(())
#lflat_start = np.array()
#lflat_end = np.array()

ltang_reg = []
ltang_m = []
ltangb = []
ltang_eg = [[], [], [], [], [], [], []]
rtang_reg = []
rtang_m = []
rtang_b = []
rtang_eq = [[], [], [], [], [], [], []]
lpeak_index = []
ipcs = np.array(())
Epcs = np.array(())
rpeak_index = []
ipas = np.array(())
Epas = np.array(())

#ltang_reg.append(stats.linregress(x/y)
#ltang_m.append(ltang_reg[x/y].slope)
#ltang_b.append(ltang_reg[y].intercept)

    #for V in potential [i]:
        #ltang_eq[i].append(ltang_m[i] * V + ltang_b[i])

    #currentdif = current[i] - ltang_eq[i]
   # rpeak_index.append(np.argmax(currentdif))
   # ipas = np.append(ipas, currentdif[rpeak_index[i]])
   # Epas = np.array(Epas, potential[i][rpeak_index[i]])
   #
rtang_reg.append(stats.linregress(potential[i][rflat_start[i]:rflat_end[i]],\current[i][rflat_start[i]:rflat_end[i]]))
         
  #  rtang_m.append(rtang_reg[i].slope)
   # rtang.append(rtang_reg[i].intercept)
    
   # for v in potential[i]:
        #rtang_eq[i].append(rtang_m[i] * V + rtang_b[i])
    
    #currentdif = current[i] - rtang_eq[i]
    #lpeak_index.append(np.armin(currentdif))
   # ipcs = np.append(ipcs, -currentdif[lpeak_index[i]])
   # Epcs = np.array(Epcs, potential[i][lpeak_index[i]])

fig = plt.figure()
ax = plt.axes()
s = ' mV/s'
ax.plot(x,y*1E12,c='Black')
#ax.plot(x,smoothy*1E6,c='Blue',label='5' + s)
ax.set_xlabel('Potential $\mathregular{(V\ vs\ Li/Li^{+}}$)')
ax.set_ylabel('Current (\u03bcA)')
#ax.legend(loc='upper left', frameon=False)
#plt.ylim(-215, 325)
#plt.savefig('10 mM MPT 2.8-4.6V.')
plt.show()

headersArray = []
for key in nD:
    headersArray.append(key)
print(headersArray)

nD = loadmat('20230327- 10 mM MPT')
type(nD)
#nD

On Sun, Apr 9, 2023 at 2:57 PM Alan Gauld via Tutor <tutor at python.org
<mailto:tutor at python.org>> wrote:

    On 09/04/2023 18:49, Maddison Eisnor wrote:
    > Hello,
    >
    > I need to add baselines to my CV.

    Where I come from a CV is what Americans call a Resume.
    I'm guessing you mean something different but I have no idea what.

    Can you explain?

    What is a CV?
    How are you producing it?
    Are you using particular libraries like numpy for example?

    What kind of baseline do you mean?
    A line on a chart or a baseline set of data?
    Or something else?

    Don't assume we live in your world. You need to explain the context.


    > I have the code to plot the CV

    And if you have any code showing what you've tried that always helps
    too. Don't make us guess.

    --     Alan G
    Author of the Learn to Program web site
    http://www.alan-g.me.uk/ <http://www.alan-g.me.uk/>
    http://www.amazon.com/author/alan_gauld
    <http://www.amazon.com/author/alan_gauld>
    Follow my photo-blog on Flickr at:
    http://www.flickr.com/photos/alangauldphotos
    <http://www.flickr.com/photos/alangauldphotos>



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