add chart
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@ -5,6 +5,7 @@ import numpy as np
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import matplotlib.pyplot as plt
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from scipy.optimize import curve_fit
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import time
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import pandas as pd
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from PyQt6 import QtCore
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from PyQt6.QtGui import QAction, QIcon, QPixmap
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from PyQt6.QtWidgets import (QHBoxLayout,
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@ -176,11 +177,11 @@ class MainExperimentDataWindow(AbstractWindow):
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self.resize(1400, 800)
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# make masthead
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self.dataname = 'data.csv'
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self.parent.dataname = 'data.csv'
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head_1 = 'I_0,mA'
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head_2 = 'U_34,mV'
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head_3 = 't,s'
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with open(os.path.join(self.parent.folder, self.dataname), 'w') as file:
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with open(os.path.join(self.parent.folder, self.parent.dataname), 'w') as file:
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wr = csv.writer(file)
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wr.writerow([head_1, head_2, head_3])
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@ -246,7 +247,7 @@ class MainExperimentDataWindow(AbstractWindow):
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v = str((current_time-self.start_time)/60)
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a = v
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t = str(current_time-self.start_time)
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with open(os.path.join(self.parent.folder, self.dataname), 'a') as file:
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with open(os.path.join(self.parent.folder, self.parent.dataname), 'a') as file:
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wr = csv.writer(file)
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wr.writerow([v, a, str(current_time-self.start_time)])
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self.table.insertRow(self.table.rowCount())
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@ -281,7 +282,7 @@ class MainExperimentDataWindow(AbstractWindow):
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f_volt.close()
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f_amp.close()
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current_time = round(time.time()*1000)
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with open(os.path.join(self.parent.folder, self.dataname), 'a') as file:
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with open(os.path.join(self.parent.folder, self.parent.dataname), 'a') as file:
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wr = csv.writer(file)
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wr.writerow([v, a, str(current_time-self.start_time)])
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@ -290,14 +291,22 @@ class MainExperimentChartWindow(AbstractWindow):
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def __init__(self, parent):
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super().__init__()
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self.setWindowTitle('Основной эксперимент. Обработка данных')
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self.parent = parent
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self.parent.chartname = 'Chart'
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self.parent.data = Data(data_filename=os.path.join(self.parent.folder, self.parent.dataname),
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saving=os.path.join(self.parent.folder, self.parent.chartname))
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self.parent.data.read_csv()
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self.parent.data.x=self.parent.data.data['I_0,mA']
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self.parent.data.y=self.parent.data.data['U_34,mV']
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self.parent.data.make_grafic()
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self.setWindowTitle('Основной эксперимент. Обработка данных')
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self.resize(1400, 800)
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self.centralwidget = QWidget()
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self.setCentralWidget(self.centralwidget)
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pixmap = QPixmap('arrow.png')
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pixmap = QPixmap(os.path.join(self.parent.folder, self.parent.chartname))
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self.label = QLabel(self)
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self.label.setPixmap(pixmap)
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self.label.resize(pixmap.width(), pixmap.height())
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@ -310,25 +319,23 @@ class MainExperimentChartWindow(AbstractWindow):
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self.hbox_layout.addWidget(self.text, 0, 1)
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class Data:
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def __init__(self, x, y, xlabel, ylabel, caption, xerr, yerr, through_0,
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data_filename, color=None, centering=None, size=15,
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coefficient=[0.9, 1.1]):
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def __init__(self, x=[], y=[], xlabel='', ylabel='', caption='', xerr=None,
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yerr=None, through_0=0, data_filename='', color=None,
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centering=None, size=15, coefficient=[0.9, 1.1], saving=None):
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self.x = x
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self.y = y
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self.xlabel = xlabel
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self.ylabel = ylabel
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self.caption = caption
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if type(yerr) == float or type(yerr) == int:
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self.yerr = [yerr for _ in self.y]
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else:
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self.yerr = yerr
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if type(xerr) == float or type(xerr) == int:
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self.xerr = [xerr for _ in self.x]
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else:
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self.xerr = xerr
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self.xerr=xerr
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self.yerr=yerr
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self.make_errors(xerr, yerr)
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self.through_0 = through_0
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if not self.color:
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if not color:
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self.color = ['limegreen', 'indigo']
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else:
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self.color = color
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@ -336,13 +343,33 @@ class Data:
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self.size = size
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self.coefficient = coefficient
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self.data_filename=data_filename
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self.saving=saving
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def make_errors(self, xerr=None, yerr=None):
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if not xerr: xerr=self.xerr
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if not yerr: yerr=self.yerr
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if not xerr: xerr=0
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if not yerr: yerr=0
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if not yerr or type(yerr) == float or type(yerr) == int:
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self.yerr = [yerr for _ in self.y]
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else:
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self.yerr = yerr
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if not xerr or type(xerr) == float or type(xerr) == int:
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self.xerr = [xerr for _ in self.x]
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else:
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self.xerr = xerr
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def read_csv(self):
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with open(self.data_filename) as file:
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reader = list(csv.reader(file, delimiter=';',
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quotechar=',', quoting=csv.QUOTE_MINIMAL))
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reader = list(csv.reader(file))
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data = np.array(reader)
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data = np.transpose(data)
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dic=[]
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for i in range(len(data[0])):
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micro_data = []
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for j in range(len(data)):
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micro_data.append(data[j][i])
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dic.append(micro_data)
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data=dic
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dic = {}
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for i in range(len(data)):
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dic[data[i][0]] = np.array(data[i][1:]).astype(np.float)
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@ -350,15 +377,15 @@ class Data:
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self.data=data
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def make_point_grafic(self):
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self.make_errors()
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if self.xerr[1] != 0 or self.yerr[1] != 0:
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plt.errorbar(self.x, self.y, yerr=self.yerr, xerr=self.xerr, linewidth=4,
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linestyle='', label=self.caption, color=self.color,
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ecolor=self.color, elinewidth=1, capsize=3.4,
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linestyle='', label=self.caption, color=self.color[0],
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ecolor=self.color[0], elinewidth=1, capsize=3.4,
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capthick=1.4)
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else:
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plt.scatter(self.x, self.y, linewidth=0.005, label=self.caption,
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color=self.color, edgecolor='black', s=self.size)
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color=self.color[0], edgecolor='black', s=self.size)
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if not self.centering:
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plt.xlabel(self.xlabel)
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@ -373,7 +400,7 @@ class Data:
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self.ax.set_ylabel(self.xlabel, labelpad=-260,
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rotation=0, fontsize=14)
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def make_line_grafic(self, k, b,):
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def make_line_grafic(self, k, b):
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if min(self.x) > 0:
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xmin = min(self.x)*self.coefficient[0]
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else:
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@ -385,10 +412,10 @@ class Data:
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xmax = max(self.x)*self.coefficient[0]
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x = np.arange(xmin, xmax, (xmax-xmin)/10000)
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plt.plot(x, k*x+b, label=self.caption, linewidth=2.4,
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linestyle='-')
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def make_graffic(self, named_by_points=True):
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linestyle='-', color=self.color[1])
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def make_grafic(self, named_by_points=True):
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self.make_errors()
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if named_by_points:
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cap_point = self.caption
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line_point = None
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@ -396,6 +423,7 @@ class Data:
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line_point = self.caption
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cap_point = None
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self.make_point_grafic()
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k, b, sigma = self.approx()
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sigma[0] = abs(k*((sigma[0]/k)**2+(np.mean(self.yerr)/np.mean(self.y))**2 +
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(np.mean(self.xerr)/np.mean(self.x))**2)**0.5)
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@ -405,15 +433,17 @@ class Data:
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else:
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sigma[1] = 0
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self.make_line_grafic()
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self.make_line_grafic(k, b)
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plt.legend()
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if self.saving:
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plt.savefig(self.saving)
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return k, b, sigma
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def approx(self):
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if self.yerr[0] != 0:
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sigma_y = [1/i**2 for i in self.yerr]
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sigma_y = [1/i**2 for i in self.y]
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else:
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sigma_y = np.array([1 for _ in self.yerr])
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sigma_y = np.array([1 for _ in self.y])
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if self.through_0 == 0:
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def f(x, k):
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return k*x
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1
Automation/j/.~lock.data.csv#
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Automation/j/.~lock.data.csv#
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@ -0,0 +1 @@
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,anna,anna-HP-Laptop-15-bw0xx,08.11.2022 18:47,file:///home/anna/.config/libreoffice/4;
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BIN
Automation/j/Chart.png
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BIN
Automation/j/Chart.png
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After Width: | Height: | Size: 11 KiB |
@ -1,3 +1,5 @@
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"I_0,mA","U_34,mV","t,s"
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68.26666666666667,68.26666666666667,4096
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84.95,84.95,5097
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52.78333333333333,52.78333333333333,3167
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69.46666666666667,69.46666666666667,4168
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86.15,86.15,5169
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102.83333333333333,102.83333333333333,6170
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