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subplots matplotlib ylim

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AartvB answered on September 15, 2020 Popularity 9/10 Helpfulness 3/10

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subplots matplotlib ylim

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import matplotlib.pyplot as plt

ax1 = plt.subplot(131)
ax1.scatter([1, 2], [3, 4])
ax1.set_xlim([0, 5])
ax1.set_ylim([0, 5])


ax2 = plt.subplot(132)
ax2.scatter([1, 2],[3, 4])
ax2.set_xlim([0, 5])
ax2.set_ylim([0, 5])

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Source: stackoverflow.com

Tags: matplotlib whatever

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Contributed on Dec 12 2022

AartvB

0 Answers Avg Quality 2/10

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subplots matplotlib examples

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fig, axs = plt.subplots(2, 2)
axs[0, 0].plot(x, y)
axs[0, 0].set_title("main")
axs[1, 0].plot(x, y**2)
axs[1, 0].set_title("shares x with main")
axs[1, 0].sharex(axs[0, 0])
axs[0, 1].plot(x + 1, y + 1)
axs[0, 1].set_title("unrelated")
axs[1, 1].plot(x + 2, y + 2)
axs[1, 1].set_title("also unrelated")
fig.tight_layout()

Popularity 10/10 Helpfulness 6/10 Language python

Source: Grepper

Tags: matplotlib m

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Contributed on Jan 25 2022

Merwanski

0 Answers Avg Quality 2/10

get subplots in matplotlib

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fig,ax = plt.subplots(3,2,figsize=(25,10),)

i,j = 0,0
for each in list_of_images:
    img = cv.imread(each.name)
    ax[i,j].imshow(img)
   

    if j == 1:
        j = 0
        if i != 2:
            i += 1
    else:
        j += 1

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Source: Grepper

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Contributed on Dec 22 2020

Wandering Wasp

0 Answers Avg Quality 2/10

matplotlib subplots python

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import matplotlib.pyplot as plt

# Create some sample data
x = [1, 2, 3, 4, 5]
y1 = [1, 4, 9, 16, 25]
y2 = [1, 2, 3, 4, 5]

# Create subplots with 2 rows and 1 column
fig, axs = plt.subplots(2, 1)

# Plot data on the first subplot
axs[0].plot(x, y1)
axs[0].set_title('Plot 1')
axs[0].set_xlabel('X-axis')
axs[0].set_ylabel('Y-axis')

# Plot data on the second subplot
axs[1].plot(x, y2)
axs[1].set_title('Plot 2')
axs[1].set_xlabel('X-axis')
axs[1].set_ylabel('Y-axis')

# Adjust the layout to avoid overlapping of labels and titles
fig.tight_layout()

# Show the plot
plt.show()

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Contributed on Sep 12 2023

YOU.com

0 Answers Avg Quality 2/10

matplotlib subplots

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# Example with 3 figures (more can be added)

fig, (fig1, fig2, fig3) = plt.subplots(1, 3)	# subplots(row, columns)

fig1.plot(x,y)
fig2.plot(x,y)
fig3.plot(x,y)

plt.show()

Popularity 10/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: matplotlib m

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Contributed on Jan 07 2022

RomainChlt

0 Answers Avg Quality 2/10

subplots matplotlib

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fig, axes = plt.subplots(1, 3, figsize=(15, 5), sharey=True)
fig.suptitle('Initial Pokemon - 1st Generation')

# Bulbasaur
sns.barplot(ax=axes[0], x=bulbasaur.index, y=bulbasaur.values)
axes[0].set_title(bulbasaur.name)

# Charmander
sns.barplot(ax=axes[1], x=charmander.index, y=charmander.values)
axes[1].set_title(charmander.name)

# Squirtle
sns.barplot(ax=axes[2], x=squirtle.index, y=squirtle.values)
axes[2].set_title(squirtle.name)

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Source: dev.to

Tags: matplotlib m

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Contributed on Jun 19 2022

Cdev2

0 Answers Avg Quality 2/10

subplots matplotlib

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# using the variable ax for single a Axes
fig, ax = plt.subplots()

# using the variable axs for multiple Axes
fig, axs = plt.subplots(2, 2)

# using tuple unpacking for multiple Axes
fig, (ax1, ax2) = plt.subplot(1, 2)
fig, ((ax1, ax2), (ax3, ax4)) = plt.subplot(2, 2)

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Source: matplotlib.org

Tags: matplotlib m

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Contributed on Sep 15 2020

Poised Peccary

0 Answers Avg Quality 2/10

subplots matplotlib

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fig, (ax1, ax2) = plt.subplots(2)
fig.suptitle('Vertically stacked subplots')
ax1.plot(x, y)
ax2.plot(x, -y)
#or
fig, (ax1, ax2) = plt.subplots(1,2) #in lines

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Source: matplotlib.org

Tags: matplotlib m

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Contributed on Mar 31 2021

Alive Antelope

0 Answers Avg Quality 2/10

plt.subplots

Comment

# using the variable ax for single a Axes
fig, ax = plt.subplots()

# using the variable axs for multiple Axes
fig, axs = plt.subplots(2, 2)

# using tuple unpacking for multiple Axes
fig, (ax1, ax2) = plt.subplots(1, 2)
fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)

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Source: matplotlib.org

Tags: whatever

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Contributed on Apr 08 2024

Massylia KHELAFI

0 Answers Avg Quality 2/10

subplots matplotlib ylim

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