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summative

import pandas as pd
import seaborn as sns
df = pd.read_excel('potential_conv.xlsx', header=None)
df.columns = [10, 20, 40, 50, 80, 110, 140, 170, 200, 230, 245, 260, 275] 
df.index = list(range(210, -1, -5)) 
df
p1 = sns.heatmap(df, annot=True, annot_kws={"size": 6}, cmap="bwr", fmt=".0f", cbar=True)
p2 = sns.heatmap(df, cmap="bwr", cbar=True)
#������ �� ���������� ���: https://colab.research.google.com/drive/1_nr-zUhJTWNJkcZUa3tzMqjASYb2Xfo5?hl=ru#scrollTo=3L42KZeXIGvk

import pandas as pd
import matplotlib.pyplot as plt

data = pd.read_excel("potential(x).xlsx")

plt.figure(figsize=(10, 6))
plt.plot(data['X'] / 10, data['Potential'])
plt.title('����������� ���������� �� ���������� X')
plt.xlabel('���������� X')
plt.ylabel('���������')
plt.grid(True)
plt.show()

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potential(x).xlsx
potential_conv.xlsx
��.docx

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