Here is my question:
I plot 7 variable's coefficient using sns.clustermap()
figure here:

http://i4.tietuku.com/ab10ee8d1983361f.png

• x/y tickslabel seems really small(In my case, s1,s2,... s9)

My attempt

• label='big ==> no effect
• plt.tick_params(axis='both', which='minor', labelsize=12) ===> cbar lable has changed, but the x/y axes looks the same.

http://i11.tietuku.com/5068224d5bbc7c00.png

Add

My code:

 ds =  pd.read_csv("xxxx.csv")
 corr = ds.corr().mul(100).astype(int)

 cmap = sns.diverging_palette(h_neg=210, h_pos=350, s=90, l=30, as_cmap=True)

 sns.clustermap(data=corr_s, annot=True, fmt='d',cmap = "Blues",annot_kws={"size": 16},)

Consider calling sns.set(font_scale=1.4) before plotting your data. This will scale all fonts in your legend and on the axes.

My plot went from this,

To this,

Of course, adjust the scaling to whatever you feel is a good setting.

Code:

sns.set(font_scale=1.4)
cmap = sns.diverging_palette(h_neg=210, h_pos=350, s=90, l=30, as_cmap=True)
sns.clustermap(data=corr, annot=True, fmt='d', cmap="Blues", annot_kws={"size": 16})