PRÁTICA 7 – MATPLOTLIB e NUMPY

Comandos:

Usar a biblioteca MATPLOTLIB e NUMPY para fazer gráficos

Tarefa:

Copie, cole, compile e execute cada um dos seguintes programas no interpretador online de python (esse é diferente dos outros usados nas práticas 1 a 6) ou na IDLE do Python instalada na sua máquina:

Programa 1 – Um gráfico simples (modifique os valores no array para modificar o gráfico)

import matplotlib.pyplot as plt
import numpy as np

xpoints = np.array([0, 6])
ypoints = np.array([0, 250])

plt.plot(xpoints, ypoints)
plt.show()

import matplotlib.pyplot as plt

import numpy as np

xpoints = np.array([0, 6])

ypoints = np.array([0, 250])

plt.plot(xpoints, ypoints)

plt.show()

Programa 2 – Linestyle, Color e Marker

import matplotlib.pyplot as plt
import numpy as np

ypoints = np.array([3, 8, 1, 10])

# Tente também marker = 'o', color = 'red' e linestyle = 'dashed')
plt.plot(ypoints, linestyle = 'dotted')
plt.show()

import matplotlib.pyplot as plt

import numpy as np

ypoints = np.array([3, 8, 1, 10])

# Tente também marker = 'o', color = 'red' e linestyle = 'dashed')

plt.plot(ypoints, linestyle = 'dotted')

plt.show()

Programa 3 – Plote um seno!

import numpy as np
import matplotlib.pyplot as plt

time        = np.arange(0, 10, 0.1);
amplitude   = np.sin(time)
plt.plot(time, amplitude)
plt.title('Seno')
plt.xlabel('t')
plt.ylabel('Y = sen(t)')
plt.grid(True, which='both')
plt.axhline(y=0, color='k')
plt.show()

import numpy as np

import matplotlib.pyplot as plt

time = np.arange(0, 10, 0.1);

amplitude = np.sin(time)

plt.plot(time, amplitude)

plt.title('Seno')

plt.xlabel('t')

plt.ylabel('Y = sen(t)')

plt.grid(True, which='both')

plt.axhline(y=0, color='k')

plt.show()

Programa 4 – Subplots (duas funções ao mesmo tempo!)

import numpy as np
import matplotlib.pyplot as plt

time = np.arange(0, 10, 0.1);
amplitude_sen = np.sin(time)
amplitude_cos = np.cos(time)

plt.subplot(2,1,1)
plt.plot(time, amplitude_sen)
plt.ylabel('Y = sen(t)')
plt.grid(True, which='both')
plt.axhline(y=0, color='k')

plt.subplot(2,1,2)
plt.plot(time, amplitude_cos)
plt.ylabel('Y = cos(t)')
plt.grid(True, which='both')
plt.axhline(y=0, color='k')
plt.show()

import numpy as np

import matplotlib.pyplot as plt

time = np.arange(0, 10, 0.1);

amplitude_sen = np.sin(time)

amplitude_cos = np.cos(time)

plt.subplot(2,1,1)

plt.plot(time, amplitude_sen)

plt.ylabel('Y = sen(t)')

plt.grid(True, which='both')

plt.axhline(y=0, color='k')

plt.subplot(2,1,2)

plt.plot(time, amplitude_cos)

plt.ylabel('Y = cos(t)')

plt.grid(True, which='both')

plt.axhline(y=0, color='k')

plt.show()

Programa 5 – Um histograma

import matplotlib.pyplot as plt
import numpy as np

x1 = np.random.rand(1000, 1)*10
# print(x1)

plt.hist(x1)
plt.show()

import matplotlib.pyplot as plt

import numpy as np

x1 = np.random.rand(1000, 1)*10

# print(x1)

plt.hist(x1)

plt.show()

Programa 6 – Gráficos de Pizza (setores circulares)

import matplotlib.pyplot as plt
import numpy as np

y = np.array([35, 25, 25, 15])
mylabels = ["Maçãs", "Bananas", "Mangas", "Laranjas"]

plt.pie(y, labels = mylabels)
plt.show()

import matplotlib.pyplot as plt

import numpy as np

y = np.array([35, 25, 25, 15])

mylabels = ["Maçãs", "Bananas", "Mangas", "Laranjas"]

plt.pie(y, labels = mylabels)

plt.show()

Desafio: Gere os 50 primeiros números de uma série de Fibonacci e plote!

import matplotlib.pyplot as plt
import numpy as np

y = np.array([1,1])
for x in range(2,50):
    y = np.append(y, y[x-1] + y[x-2])

print(y)

plt.plot(y)
plt.show()

import matplotlib.pyplot as plt

import numpy as np

y = np.array([1,1])

for x in range(2,50):

y = np.append(y, y[x-1] + y[x-2])

print(y)

plt.plot(y)

plt.show()