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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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from matplotlib.pyplot import figure
figure(num=None, figsize=(8, 6), dpi=80, facecolor='w', edgecolor='k')
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import matplotlib.pyplot as plt
# Define the figure size
fig, ax = plt.subplots(figsize=(8, 6))
# Plot some data
x = [1, 2, 3, 4, 5]
y = [3, 6, 2, 7, 1]
ax.plot(x, y)
# Show the plot
plt.show()
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fig_width, fig_height = plt.gcf().get_size_inches()
print(fig_width, fig_height)