import matplotlib.pyplot as plt
from matplotlib import pyplot as plt
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
from matplotlib import pyplot as plt
import matplotlib.pyplot as plt
figsize matplotlib
# figsize is an optional parameter in matplotlib.pyplot library's .figure() function
# it defaults to = None
# syntax:
# figsize=(width, height)
# - each integer much be a float
import matplotlib.pyplot as plt
figure = plt.figure(figsize = (10,5));
how to import matplotlib.pyplo in python
import matplotlib.pylot as plt
matplotlib
# importing matplotlib module
from matplotlib import pyplot as plt
# x-axis values
x = [5, 2, 9, 4, 7]
# Y-axis values
y = [10, 5, 8, 4, 2]
# Function to plot scatter
plt.scatter(x, y)
# function to show the plot
plt.show()
pyplot python
import numpy as np
import matplotlib.pyplot as plt
x = np.array([1, 3, 4, 6])
y = np.array([2, 3, 5, 1])
plt.plot(x, y)
plt.show()
how do a plot on matplotlib python
import matplotlib.pyplot as plt
%matplotlib inline
plt.plot(data)
#this is not nessisary but makes your plot more readable
plt.ylabel('y axis means ...')
plt.xlabel('x axis means ...')
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