I'm using seaborn to draw some boxplot. Here is my code
fig, axs = plt.subplots(nrows = 8, ncols=2, figsize = (70,50))
plt.subplots_adjust(hspace = 0.8)
i = 0
j = 0
for item in items:
...
# create dist as a list
sns.boxplot(data = dist, ax = axs[i][j])
j += 1
if j == 2:
i += 1
j = 0
I'm changing the length and width in figsize() but it does not change the width of my subplots? what's wrong here?
You also set the aspect ratio by changing the figsize
, so it may be better to use something like figsize = (20, 80)
in your example rather than the current (70, 50)
.
Otherwise, you may need to separately set the aspect ratio. (for example by adding axs[i][j].set_aspect(1)
inside your for
loop)
Your call to plt.figure(figsize=(60,50))
is creating a new empty figure different from your already declared fig from the first step. Set the figsize
in your call to plt.subplots
. It defaults to (6,4) in your plot since you did not set it. You already created your figure and assigned to variable fig
. If you wanted to act on that figure you should have done fig.set_size_inches(12, 5)
instead to change the size.
You can then simply call fig.tight_layout()
to get the plot fitted nicely.
Also, there is a much easier way to iterate through axes by using flatten
on your array of axes
objects. I am also using data directly from seaborn itself.
# I first grab some data from seaborn and make an extra column so that there
# are exactly 8 columns for our 8 axes
data = sns.load_dataset('car_crashes')
data = data.drop('abbrev', axis=1)
data['total2'] = data['total'] * 2
# Set figsize here
fig, axes = plt.subplots(nrows=2, ncols=4, figsize=(12,5))
# if you didn't set the figsize above you can do the following
# fig.set_size_inches(12, 5)
# flatten axes for easy iterating
for i, ax in enumerate(axes.flatten()):
sns.boxplot(x= data.iloc[:, i], orient='v' , ax=ax)
fig.tight_layout()
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