seaborn heatmap parameters
# seaborn heatmap best parameter
plt.figure(figsize=(20,8))
sns.heatmap(corr, vmax=1, vmin=-1, center=0,
linewidth=.5,square=True, annot = True,
annot_kws = {'size':8},fmt='.1f', cmap='BrBG_r', ax=ax1, # ax: use this when using subplot
cbar_kws = dict(use_gridspec=False,location="top", shrink=0.9)) # cbar_kws: for positioning cbar and "shrink" for reducing cbar size
plt.title('Correlation')
plt.show()seaborn heatmap xlabel rotation
plt.figure(figsize=(10,10))
g = sns.heatmap(
by_sport,
square=True,
cbar_kws={'fraction' : 0.01},
cmap='OrRd',
linewidth=1
)
g.set_xticklabels(g.get_xticklabels(), rotation=45, horizontalalignment='right')
g.set_yticklabels(g.get_yticklabels(), rotation=45, horizontalalignment='right')Copyright © 2021 Codeinu
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