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آشنایی با کتابخانه Matplotlib
مصور سازی نتایج تقریبا آخرین کاری است که در محاسباتی انجام می شود. ترسیم نمودارهای دو بعدی با قابلیت های فراوان کاری است که کتابخانه Matplotlib انجام می دهد. فرض کنید می خواهیم تابع x^2 را رسم کنیم. برای این منظور با استفاده از Numpy و Matplotlib کدی مانند زیر خواهیم داشت.

import matplotlib.pyplot as plt
import numpy as np
a=np.linspace(1,100)
plt.plot(a,a**2)
plt.show()

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آشنایی با کتابخانه Matplotlib
مصور سازی نتایج تقریبا آخرین کاری است که در محاسباتی انجام می شود. ترسیم نمودارهای دو بعدی با قابلیت های فراوان کاری است که کتابخانه Matplotlib انجام می دهد. فرض کنید می خواهیم تابع x^2 را رسم کنیم. برای این منظور با استفاده از Numpy و Matplotlib کدی مانند زیر خواهیم داشت.

import matplotlib.pyplot as plt
import numpy as np
a=np.linspace(1,100)
plt.plot(a,a**2)
plt.show()

#پایتون_مالی
#سری_زمانی
# Matplotlib

پایتون برای مالی در تلگرام https://www.tg-me.com/br/Python4Finance/com.python4finance
پایتون برای مالی در بله https://ble.im/br/Python4Finance/com.python4finance

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