Add the lab style for plotting #41

plt.figure(figsize=(3.5, 3.5), dpi = 200)
ax = plt.subplot(111)

keys = ['cebra', 'pivae', 'autolfads', 'tsne', 'umap']
df = pd.DataFrame(synthetic_scores)
sns.stripplot(data=df[keys] * 100, color="black", s=3, zorder=1, jitter=0.15)
sns.scatterplot(data=df[keys].median() * 100, color="orange", s=50)
plt.ylabel("$R^2$", fontsize=20)
plt.yticks(
    np.linspace(0, 100, 11, dtype=int), np.linspace(0, 100, 11, dtype=int), fontsize=20
)
plt.ylim(70, 100)
ax.spines["right"].set_visible(False)
ax.spines["top"].set_visible(False)
ax.tick_params(axis="both", which="major", labelsize=15)
ax.tick_params(axis = 'x',   rotation = 45)
ax.set_xticklabels(
  ['CEBRA', 'piVAE', 'autoLFADS', 'tSNE', 'UMAP'],
)
sns.despine(
    left=False,
    right=True,
    bottom=False,
    top=True,
    trim=True,
    offset={"bottom": 40, "left": 15},
)
plt.savefig('figure1_synthetic_comparison.jpg', bbox_inches = "tight", transparent = True)
plt.savefig('figure1_synthetic_comparison.svg', bbox_inches = "tight", transparent = True)