Change xticklabels fontsize of seaborn heatmap

Question

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

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 label has changed, but the x/y axes looks the same.

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},)

Asked By: Han Zhengzu

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Source

Answer 1

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})

Answered By: Nelewout

Answer 2

Or just use the set_xticklabels:

g = sns.clustermap(data=corr_s, annot=True, fmt='d',cmap = "Blues")
g.ax_heatmap.set_xticklabels(g.ax_heatmap.get_xmajorticklabels(), fontsize = 16)

To get different colors for the ticklabels:

import matplotlib.cm as cm
colors = cm.rainbow(np.linspace(0, 1, corr_s.shape[0]))
for i, ticklabel in enumerate(g.ax_heatmap.xaxis.get_majorticklabels()):
    ticklabel.set_color(colors[i])

Answered By: 5norre

Change xticklabels fontsize of seaborn heatmap

Question:

My attempt

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