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()

Similar codes

0 vote276 views1 answer
How to calculate the variance of all columns in python
Python
0 vote247 views1 answer
Division of 2 numbers in python
Python
2 votes306 views4 answers
Decision tree classifier sklearn
Python
1 vote313 views1 answer
Hot to pay music in pygame
Python
-1 vote283 views1 answer
Email validation using django
Python
2 votes270 views3 answers
Normalize numpy array
Python
0 vote220 views1 answer
Opencv change color
Python
0 vote277 views2 answers
Ip regex python
Python
35 votes272 views2 answers
Download pyaudio for python 3.9
Python
30 votes301 views6 answers
Pandas count distinct values in column
Python