Создание плавного линейного графика с использованием matplotlib

Следующим является python script для создания графика с использованием matplotlib.

#!/usr/bin/python

import matplotlib.pyplot as plt
import time
import numpy as np
from scipy.interpolate import spline

# Local variables
x = []
y = []

# Open the data file for reading lines
datafile = open('testdata1.txt', 'r')
sepfile = datafile.read().split('\n')
datafile.close()

# Create a canvas to place the subgraphs
canvas = plt.figure()
rect = canvas.patch
rect.set_facecolor('white')

# Iterate through the lines and parse them
for datapair in sepfile:
    if datapair:
        xypair = datapair.split(' ')
        x.append(int(xypair[1]))
        y.append(int(xypair[3]))

# Define the matrix of 1x1 to place subplots
# Placing the plot1 on 1x1 matrix, at pos 1
sp1 = canvas.add_subplot(1,1,1, axisbg='w')
sp1.plot(x, y, 'red', linewidth=2)

# Colorcode the tick tabs 
sp1.tick_params(axis='x', colors='red')
sp1.tick_params(axis='y', colors='red')

# Colorcode the spine of the graph
sp1.spines['bottom'].set_color('r')
sp1.spines['top'].set_color('r')
sp1.spines['left'].set_color('r')
sp1.spines['right'].set_color('r')

# Put the title and labels
sp1.set_title('matplotlib example 1', color='red')
sp1.set_xlabel('matplot x label', color='red')
sp1.set_ylabel('matplot y label', color='red')

# Show the plot/image
plt.tight_layout()
plt.grid(alpha=0.8)
plt.savefig("example6.eps")
plt.show()

Он генерирует график как

Я пытаюсь создать граф SMOOTH вместо строк, но не смог добиться результата. Я пытался следить за этим видео: https://www.youtube.com/watch?v=uSB8UBrbMfk

Кто-нибудь может предложить мне изменения?

#!/usr/bin/python import matplotlib.pyplot as plt import time import numpy as np from scipy.interpolate import spline # Local variables x = [] y = [] # Open the data file for reading lines datafile = open('testdata1.txt', 'r') sepfile = datafile.read().split('\n') datafile.close() # Create a canvas to place the subgraphs canvas = plt.figure() rect = canvas.patch rect.set_facecolor('white') # Iterate through the lines and parse them for datapair in sepfile: if datapair: xypair = datapair.split(' ') x.append(int(xypair[1])) y.append(int(xypair[3])) x_sm = np.array(x) y_sm = np.array(y) x_smooth = np.linspace(x_sm.min(), x_sm.max(), 200) y_smooth = spline(x, y, x_smooth) # Define the matrix of 1x1 to place subplots # Placing the plot1 on 1x1 matrix, at pos 1 sp1 = canvas.add_subplot(1,1,1, axisbg='w') #sp1.plot(x, y, 'red', linewidth=2) sp1.plot(x_smooth, y_smooth, 'red', linewidth=1) # Colorcode the tick tabs sp1.tick_params(axis='x', colors='red') sp1.tick_params(axis='y', colors='red') # Colorcode the spine of the graph sp1.spines['bottom'].set_color('r') sp1.spines['top'].set_color('r') sp1.spines['left'].set_color('r') sp1.spines['right'].set_color('r') # Put the title and labels sp1.set_title('matplotlib example 1', color='red') sp1.set_xlabel('matplot x label', color='red') sp1.set_ylabel('matplot y label', color='red') # Show the plot/image plt.tight_layout() plt.grid(alpha=0.8) plt.savefig("example6.eps") plt.show()

Ответ 1