Extend matplotlib plots output

Question

I am trying to plot several plots, here is the code:

import seaborn as sns
import matplotlib.pyplot as plt

fig, axes = plt.subplots(round(len(matching)/2), 2, figsize=(20, 25))
fig.subplots_adjust(hspace=2)

for i, col in enumerate(matching):
    # Method 1: on the same Axis
    ax = axes[i // 2, i % 2]
    sns.distplot(hcp_fs_by_hcp_new[col],ax=ax, kde_kws={"color":"r", "lw": 2, "label":"LA5"}, hist_kws={"label":"LA5","color": "r"})
    sns.distplot(hcp_fs_by_scoltech[col],ax=ax, kde_kws={"color":"g", "lw": 2, "label":"hcp"}, hist_kws={"label":"hcp"})
    ax.set_title(col)

plt.setp(axes, yticks=[])

plt.tight_layout()
plt.show()

and get the result where all plots are very tight and pressed, how to output them in fixed size, with scrolling?

A figure with scrollbar would be shown [here](https://stackoverflow.com/questions/42622146/scrollbar-on-matplotlib-showing-page/42624276#42624276). — ImportanceOfBeingErnest, Jun 18 '19 at 12:38
...or alternatively, as all subplots have different xy axes, maybe you could split them across multiple figures. — Leporello, Jun 18 '19 at 14:47
@ImportanceOfBeingErnest maybe something could be simplified in my code, I think PyQt looks inconvenient — PatrickHellman, Jun 18 '19 at 14:51
Because screens are usually wider than tall, would you maybe benefit from 3 columns of subplots? Else, I don't know what you mean by "simplified". — ImportanceOfBeingErnest, Jun 18 '19 at 16:19
@ImportanceOfBeingErnest I mean, more clear implementation of visualization. — PatrickHellman, Jun 18 '19 at 16:29
Maybe consider the fact that noone will look at each single plot of those anyways. So ask yourself: What is the important message I want to convey? Then think about how to visualize it. — ImportanceOfBeingErnest, Jun 18 '19 at 17:23
@PatrickHellman for instance, initialize `list_of_figs = []` before the loop, put in your loop `if i % 2 == 0: fig, axes = plt.subplots(nrows=1, ncols=2)`, issue graphics calls in the loop to `ax[i % 2]` and tack a `list_of_figs.append(fig)` somewhere, and you can use `list_of_figs` for future `savefig` commands. Whether that method is better than IOBE's scrollable figure, and if so how many subplots per figure (in which grid pattern) is optimal, is something you need to decide by yourself. — Leporello, Jun 18 '19 at 17:31
@ImportanceOfBeingErnest ok, no matter what will be number of subplots, I want them to save constant size — PatrickHellman, Jun 18 '19 at 18:41
Is this question about changing the size of a figure? That would be answered [here](https://stackoverflow.com/questions/332289/how-do-you-change-the-size-of-figures-drawn-with-matplotlib). (But if you change the question, please do so in the question, not in some comment to a comment, no one will ever read). — ImportanceOfBeingErnest, Jun 18 '19 at 18:47

Extend matplotlib plots output

0 Answers0