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import matplotlib.pyplot as plt
plt.figure(figsize=(14,7))
plt.bar(x,y)
# if you have plotted you graph directly using dataframe like this ↓
data.plot(kind='bar')
# then use this
plt.rcParams["figure.figsize"] = (14,7)
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import matplotlib.pyplot as plt
# Create a figure and set the size
fig = plt.figure(figsize=(8, 6))
# Optionally, plot something on the figure
plt.plot([1, 2, 3, 4], [1, 4, 2, 3], 'ro')
# Display the figure
plt.show()
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import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (20,3)
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import matplotlib.pyplot as plt
# Create a figure with a specific size
fig = plt.figure(figsize=(8, 6))
# Plot some data
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]
plt.plot(x, y)
# Set the figure title and labels
plt.title("My Plot")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
# Show the plot
plt.show()
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# Import Library
import matplotlib.pyplot as plt
# Increase size of plot in jupyter
plt.rcParams["figure.figsize"] = (8,5.5)
# Define Data
x = [2, 4, 6, 8]
y = [5, 10, 15, 20]
# Plot
plt.plot(x, y, '-.')
# Display
plt.show()
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# importing the matplotlib library
import matplotlib.pyplot as plt
# values on x-axis
x = [1, 2, 3, 4, 5]
# values on y-axis
y = [1, 2, 3, 4, 5]
# naming the x and y axis
plt.xlabel('x - axis')
plt.ylabel('y - axis')
# plotting a line plot with it's default size
print("Plot in it's default size: ")
plt.plot(x, y)
plt.show()
# plotting a line plot after changing it's width and height
f = plt.figure()
f.set_figwidth(4)
f.set_figheight(1)
print("Plot after re-sizing: ")
plt.plot(x, y)
plt.show()
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from matplotlib.pyplot import figure
figure(num=None, figsize=(8, 6), dpi=80, facecolor='w', edgecolor='k')