tkshnkmr

import numpy as np
import matplotlib.pyplot as plt

# Input x, output y
x = np.linspace(0, 2*np.pi, 400)
y = np.sin(x**2)
# Plot
plt.plot(x, y)
# Change the fontsize of ticks
plt.xticks(fontsize=8)

tkshnkmr

import numpy as np
import matplotlib.pyplot as plt

# Input x, output y
x = np.linspace(0, 2*np.pi, 400)
y = np.sin(x**2)

# Creates fig and ax from subplots().
# But only create a single plot 
fig, ax = plt.subplots()

tkshnkmr

import numpy as np
import matplotlib.pyplot as plt

# Input x, output y
x = np.linspace(0, 2*np.pi, 400)
y = np.sin(x**2)

# make multiple subplots. 
# you can define the size of figure and dpi (dot per inch, defalt dpi=72)
my_dpi = 50

tkshnkmr

import numpy as np
import matplotlib.pyplot as plt

# Input x, output y
x = np.linspace(0, 2*np.pi, 400)
y = np.sin(x**2)

# Creates figure first
my_dpi = 40
fig = plt.figure(figsize=(20, 10), dpi=my_dpi)

tkshnkmr

import numpy as np
import matplotlib.pyplot as plt

# Input x, output y
x = np.linspace(0, 2*np.pi, 400)
y = np.sin(x**2)

# Creates figure first
my_dpi = 200
fig = plt.figure(figsize=(4, 2), dpi=my_dpi)

tkshnkmr

import numpy as np
import matplotlib.pyplot as plt 
# image modules
from PIL import Image
import matplotlib.image as mpimg 
import cv2
# PyTorch
import torch
from torch.utils import data
from torchvision import transforms