How do I plot multiple graphs using matplotlib?

Question

I'm doing some EDA on a dataset I have using seaborn primarily. However, I'd like to plot these graphs in a single kernel. I think I'm meant to use matplotlib to achieve this. I've done 3 separate sns.countplot graphs, but I'm trying to show them in one single kernel/output.

I've tried using the following code but I'm still not entirely sure how it works:

fig, axes = plt.subplots(1, 3, figsize=(16,8))

ax = sns.countplot(y = 'loan_status', data = df, order = df['loan_status'].value_counts().iloc[:6].index)

ax = sns.countplot(y = 'loan_status', data = df, order = df['loan_status'].value_counts().iloc[2:9].index)

ax = sns.distplot(df['loan_amnt'], bins=50)

Please include minimal code for the plots you are trying to make so that it is easier for posters to test your question. — Todd Burus, Aug 03 '19 at 14:06
Possible duplicate of [How to make several plots on a single page using matplotlib?](https://stackoverflow.com/questions/1358977/how-to-make-several-plots-on-a-single-page-using-matplotlib) — Mihai Chelaru, Aug 03 '19 at 14:10
Note, if you only want three plots, then you can use `fig, axes = plt.subplots(1, 3, figsize=(16,8))` or `fig, axes = plt.subplots(3, 1, figsize=(16,8))` depending on if you'd like them laid out horizontally or vertically, respectively. Again, having the code you'd like to plot would be helpful here. — Todd Burus, Aug 03 '19 at 14:14
Okay. So, is your code working and you just want to know how it works, or is it not working at all? Did you include a `plt.show()` command? — Todd Burus, Aug 03 '19 at 14:21
Hey Todd, the code works but it doesn't return three separate graphs. instead, it returns one really incorrect graph. If I run each line separately then they work fine. I'm just trying to get all three graphs in one window — softmax55, Aug 03 '19 at 14:26
Change your fig, axes call to `fig, [ax1, ax2, ax3] = plt.subplots(1, 3. figsize(16,8))` and then rename each individual plot with ax1, ax2, ax3. Does that help? — Todd Burus, Aug 03 '19 at 14:33
Please format the code - select it and type `ctrl-k`: [Formatting posts](https://stackoverflow.com/help/formatting) ... [Formatting help](https://stackoverflow.com/editing-help) — wwii, Aug 03 '19 at 14:59
If you'ld like to try with Matplotlib, browse throught the [gallery](https://matplotlib.org/gallery/index.html#subplots-axes-and-figures) to find the features you want then look at the example code to see how it was accomplished. — wwii, Aug 03 '19 at 15:02

score 2 · Answer 1 · answered Aug 03 '19 at 15:34

Do you mean something like this?

Here is a simple example:

import numpy as np
import matplotlib.pyplot as plt

# Some random data to plot
M = np.random.rand(3,100,100)

fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(16,8))

for i, ax in enumerate(axes.flatten()):
    ax.imshow(M[i])

# OR
# axes[0].imshow(M[0])
# axes[1].imshow(M[1])
# axes[2].imshow(M[2])

plt.show()

score 1 · Accepted Answer · answered Aug 03 '19 at 16:30

1

Try this.

fig, [ax1, ax2, ax3] = plt.subplots(1, 3, figsize=(16,8))

     ax1 = sns.countplot(y = 'loan_status', data = df, order = df['loan_status'].value_counts().iloc[:6].index)

     ax2 = sns.countplot(y = 'loan_status', data = df, order = df['loan_status'].value_counts().iloc[2:9].index)

     ax3 = sns.distplot(df['loan_amnt'], bins=50)

fig.tight_layout()

plt.show()

answered Aug 03 '19 at 16:30

Todd Burus

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No problem. Please remember to participate in the community by marking the most helpful solution to your question. – Todd Burus Aug 05 '19 at 04:19

How do I plot multiple graphs using matplotlib?

2 Answers2