seaborn heatmap text labels
x_axis_labels = [1,2,3,4,5,6,7,8,9,10,11,12] # labels for x-axis
y_axis_labels = [11,22,33,44,55,66,77,88,99,101,111,121] # labels for y-axis
# create seabvorn heatmap with required labels
sns.heatmap(flights_df, xticklabels=x_axis_labels, yticklabels=y_axis_labels)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()Copyright © 2021 Codeinu
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