CODEWITHSUNDEEP
pythonseaborn
Sledge
Sledge

Reputation: 1345

How to change label tick color in seaborn

I have a seaborn plot and I would like to create custom tick label coloring for it.

The code is:

short_cols = ['col_1', 'col_2', 'col_3', 'col_4', 'col_5', 'col_6', 'col_7', 'col_8', 'col_9', 'col_10', 'col_11', 'col_12', 'col_13', 'col_14', 'col_15', 'col_16', 'col_17', 'col_18', 'col_19']

fig, ax = plt.subplots(figsize=(13,10)) 
sns.heatmap(jr_matrix, 
            center=0, 
            cmap="vlag", 
            linewidths=.75, 
            ax=ax,
            norm=LogNorm(vmin=jr_matrix.min(), vmax=jr_matrix.max()))
ax.set_xticklabels(short_cols, rotation=90, size=14, labelcolor='red')
ax.set_yticklabels(short_cols, rotation=0, size=14)

The plot looks like this:

enter image description here

There is a certain grouping between some of the items in short_cols such that it would be useful to be able set them to the same color.

My question is, how can I adjust the ticklabel colors so that I can reflect this association in the plot.

For example, lets say the groups are:

group1 = ['col_1', 'col_2', 'col_3']
group2 = ['col_4', 'col_5']
group3 = ['col_6']
...
group7=['col_18', 'col_19']

Any help here would be much appreciated.

Upvotes: 2

Views: 7489

Answers (1)

Jay Bhatt
Jay Bhatt

Reputation: 61

confusion_M  = pd.crosstab(model1_pred.Predicted_class,model1_pred.Actual_class)
sn.set(rc={'axes.facecolor':'black', 'figure.facecolor':'black',})
fig = plt.figure(figsize=(13,10))
g= sn.heatmap(confusion_M,annot=True,cmap = "coolwarm",fmt = ".1f",annot_kws= 
{'size':100})
for tick_label in g.axes.get_yticklabels():
    tick_label.set_color("white")
    tick_label.set_fontsize("30")
fig.tight_layout()

Upvotes: 6

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