Grafiklar. Matplotlib moduli

Grafiklar. Matplotlib moduli

Matplotlib da graphika

• import matplotlib.pyplot as plt
• plt.plot([1, 2, 3, 4, 5], [1, 2, 3, 4, 5])
• plt.show()

• import numpy as np
• # Независимая (x) и зависимая (y) переменные
• x = np.linspace(0, 10, 50)
• y = x
• # Построение графика
• plt.title("Линейная зависимость y = x") # заголовок
• plt.xlabel("x") # ось абсцисс
• plt.ylabel("y") # ось ординат
• plt.grid() # включение отображение сетки
• plt.plot(x, y) # построение графика

y = f(x) кўринишли функцияларнинг графигини чизиш

• Ушбу графикни ҳосил қилиш учун Python да қуйидаги кўринишли код ёзамиз:
• import matplotlib.pyplot as plt
• import numpy as np
• # Prepare the
• datax = np.linspace(0, 10, 100)
• # Plot the
• dataplt.plot(x, x, label='linear')
• # Add a l
• egendplt.legend()
• # Show the
• plotplt.show()

import matplotlib.pyplot as plt

# x axis values

x = [1,2,3]

# corresponding y axis values

y = [2,4,1]

# plotting the points

plt.plot(x, y)

# naming the x axis

plt.xlabel('x - axis')

# naming the y axis

plt.ylabel('y - axis')

# giving a title to my graph

plt.title('My first graph!')

# function to show the plot

plt.show()

import matplotlib.pyplot as plt

• import matplotlib.pyplot as plt
• # line 1 points
• x1 = [1,2,3]
• y1 = [2,4,1]
• # plotting the line 1 points
• plt.plot(x1, y1, label = "line 1")
• # line 2 points
• x2 = [1,2,3]
• y2 = [4,1,3]
• plt.plot(x2, y2, label = "line 2") # plotting the line 2 points
• plt.xlabel('x - axis') # naming the x axis
• plt.ylabel('y - axis') # naming the y axis
• plt.title('Two lines on same graph!') # giving a title to my graph
• plt.legend() # show a legend on the plot
• plt.show() # function to show the plot

import matplotlib.pyplot as plt

• import matplotlib.pyplot as plt
• # x axis values
• x = [1,2,3,4,5,6]
• # corresponding y axis values
• y = [2,4,1,5,2,6]
• # plotting the points
• plt.plot(x, y, color='green', line, linewidth = 3, marker='o', markerfacecolor='blue', markersize=12)
• # setting x and y axis range
• plt.ylim(1,8)
• plt.xlim(1,8)
• plt.xlabel('x - axis') # naming the x axis
• plt.ylabel('y - axis') # naming the y axis
• plt.title('Some cool customizations!') # giving a title to my graph
• plt.show() # function to show the plot

Гистограмма

• import matplotlib.pyplot as plt
• # x-coordinates of left sides of bars
• left = [1, 2, 3, 4, 5]
• height = [10, 24, 36, 40, 5] # heights of bars
• tick_label = ['one', 'two', 'three', 'four', 'five'] # labels for bars
• # plotting a bar chart
• plt.bar(left, height, tick_label = tick_label, width = 0.8, color = ['red', 'green'])
• plt.xlabel('x - axis') # naming the x-axis
• plt.ylabel('y - axis') # naming the y-axis
• plt.title('My bar chart!') # plot title
• plt.show() # function to show the plot

Круговая диаграмма

• import matplotlib.pyplot as plt
• # defining labels
• activities = ['eat', 'sleep', 'work', 'play']
• # portion covered by each label
• slices = [3, 7, 8, 6]
• colors = ['r', 'y', 'g', 'b'] # color for each label
• # plotting the pie chart
• plt.pie(slices, labels = activities, colors=colors, startangle=90, shadow = True, explode = (0, 0, 0.1, 0),
• radius = 1.2, autopct = '%1.1f%%')
• plt.legend() # plotting legend
• plt.show() # showing the plot

• # importing the required modules
• import matplotlib.pyplot as plt
• import numpy as np
• # setting the x - coordinates
• x = np.arange(0, 2*(np.pi), 0.1)
• # setting the corresponding y - coordinates
• y = np.sin(x)
• plt.plot(x, y) # plotting the points
• plt.show() # function to show the plot

• import numpy as np
• import matplotlib.pyplot as plt
• X = np.linspace(-np.pi, np.pi, 256)
• C, S = np.cos(X), np.sin(X)
• plt.plot(X, C)
• plt.plot(X, S)
• plt.show()

3D Plots

• from mpl_toolkits.mplot3d import Axes3D
• fig = plt.figure()
• ax = Axes3D(fig)
• X = np.arange(-4, 4, 0.25)
• Y = np.arange(-4, 4, 0.25)
• X, Y = np.meshgrid(X, Y)
• R = np.sqrt(X**2 + Y**2)
• Z = np.sin(R)
• ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap='hot')