Subtplot size difference from matplotlib plot about seaborn HOT 5 CLOSED

Hi, this isn't a reproducible example so it's really impossible to say. The colorbar on a heatmap will "steal" space from the axes with the heatmap by default, maybe that's what you're seeing.

I'm going to close but can reopen with a reproducible example that demonstrates an issue in seaborn.

from seaborn.

Hi,

i am aware that the color bar steals space, but in the image i uploaded i removed the axes (the pareto bar also contains second axis) its also taking space, with the axes its even more significant.
this is how it looks like with axes:

here is the data i used for the plotting
test_data.zip

and the code i used for it:

`
def plot_heatmap_to_ax(data,ax,title=None,annot=False,mark_max=True,x_items=10,y_items=10):
import seaborn as sns
assert len(data.columns) == 3,print('only 3 columns dataframe: columns,rows,values')
(x1,x2,y)=data.columns
plot_df = data.pivot(index=x1, columns=x2, values=y)
plot_df = plot_df.loc[plot_df.sum(axis=1).sort_values(ascending=False).index[:y_items], plot_df.sum(axis=0).sort_values(ascending=False).index[:x_items]]
cmap = 'OrRd' # 'RdYlGn_r'.
p = sns.heatmap(data=plot_df, ax=ax, xticklabels=1, cmap=cmap, robust=True, annot=annot, yticklabels=True)
ax.title.set_text(title)
if mark_max:
from matplotlib.patches import Rectangle
text_color = 'midnightblue' # 'navy'
mark_text = 'Max '
ax.text(0, len(plot_df), f'{mark_text} {x2}', color=text_color, weight='bold', rotation=90,size=10, ha='left') # , fontweight='bold'
ax.text(0, 0, f'{mark_text} {x1}', color=text_color, weight='bold', rotation=0, size=10,va='top') # 'baseline', 'center_baseline'
ax.add_patch(Rectangle((0, 0), 1, plot_df.shape[0], linestyle='--', fill=False, edgecolor='red'))
ax.add_patch(Rectangle((0, 0), plot_df.shape[1], 1, linestyle='--', fill=False, edgecolor='red'))
return ax

def plot_pareto_to_ax(data,ax,x,y1,y2,axis_labels,annot=False,title=None):
if not isinstance(y1, list):
y1 = [y1]
labels = y1.copy()
if y2 is not None:
if not isinstance(y2, list):
y2 = [y2]
labels += y2

data[x] = data[x].astype(str)
p1 = ax.plot(data[x], data[y1], label=y1)#, color=colors[l], marker='o')
if annot:
    for j in y1:
        for k in range(len(data)):
            ax.annotate(data[j][k], (data[x][k], data[j][k]))#, fontweight='light')
ax.set_xlabel(axis_labels[0])
ax.set_ylabel(axis_labels[1])
ax.grid(axis='y')
if y2 is not None:
    ax2 = ax.twinx()
    # set color cycle to next color
    for advance in range(len(y1)):
        ax2._get_lines.get_next_color()
    p2 = ax2.plot(data[x], data[y2], label=y2,linestyle='None')
    if annot:
        for j in y2:
            for k in range(len(data)):
                ax2.annotate(data[j][k], (data[x][k], data[j][k]))#, fontweight='light')
    ax2.set_ylabel(axis_labels[2])
# set joined legend
lns = p1+p2
ax.legend(lns, labels, loc=1)
ax.set_xticklabels(data[x], rotation=90)
ax.title.set_text(title)
return ax

fig, axes = plt.subplots(ncols=1, nrows=2 , figsize=(7,7))
axes[0] = plot_heatmap_to_ax(data,ax=axes[0],title='Test', annot=False, mark_max=False, x_items=30, y_items=30)
axes[1] = plot_pareto_to_ax(data=Fleet_summary,ax=axes[1], x='x', y1=['y1', 'y1-2'], y2='y2',axis_labels=['x', '% y', '# y2'], title='')
`

from seaborn.

To demonstrate that this is a problem in seaborn, you'll need to clean up your example and make it much simpler, and show that it doesn't happen if you use matplotlib directly.

from seaborn.

i think this example is very simple to show the matplotlib has no right padding as the seaborn, you can easily add more matplotlib plots by duplicating axes[1] multiple times, create the exact same plot (or is you prefer create different type of plot), and change the number of rows accordingly, you will see that all matplotlib plots will have same width except the seaborn plot.

n=5 fig, axes = plt.subplots(ncols=1, nrows=n , figsize=(7,7)) axes[0] = plot_heatmap_to_ax(data,ax=axes[0],title='Test', annot=False, mark_max=False, x_items=30, y_items=30) for i in range(1,5): axes[i] = plot_pareto_to_ax(data=Fleet_summary,ax=axes[i], x='x', y1=['y1', 'y1-2'], y2='y2',axis_labels=['x', '% y', '# y2'], title='')

you can adjust the position, seaborn to be first/last/in the middle and see where this comes from, etc...

BR,
Nir

from seaborn.

Hi, i resolved it, it was the layout setting in the figure creation, adding layout="constrained" to figure forces all axes to same width, you can close it.

Thanks,
Nir

from seaborn.