Different color for each bar

[ovan79]

Hi.i want to set diferent color for each bar

def ploting_cnt_amt(df,col, lim=2000) : tmp=pd.crosstab(df[col] , df['isFraud'] , normalize='index')*100 tmp=tmp.reset_index() tmp.rename(columns={ 0:'NoFraud' , 1:'Fraud'},inplace=True)

plt.figure(figsize=(16,14))    
plt.suptitle(f'{col} Distributions ', fontsize=24)

plt.subplot(211)
g = sns.countplot( x=col,  data=df, order=list(tmp[col].values))
gt = g.twinx()
gt = sns.pointplot(x=col, y='Fraud', data=tmp, order=list(tmp[col].values),
                   color='black', legend=False, )
gt.set_ylim(0,tmp['Fraud'].max()*1.1)
gt.set_ylabel("%Fraud Transactions", fontsize=16)
g.set_title(f"Most Frequent {col} values and % Fraud Transactions", fontsize=20)
g.set_xlabel(f"{col} Category Names", fontsize=16)
g.set_ylabel("Count", fontsize=17)
g.set_xticklabels(g.get_xticklabels(),rotation=45)
sizes = []
for p in g.patches:
    height = p.get_height()
    sizes.append(height)
    g.text(p.get_x()+p.get_width()/2.,
            height + 3,
            '{:1.2f}%'.format(height/total*100),
            ha="center",fontsize=12) 

g.set_ylim(0,max(sizes)*1.15)

ploting_cnt_amt(df_trans , 'addr1')

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The code is the same, but for others, the graph comes out differently for each bar, but my graph only come out in the same color.

I tried setting up 'sns.set_palette()' to work this out, but the phenomenon is the same. Instead, if I set up barplot (palette =...) and set the color, the color comes out differently. It's annoying to set this up every time, is there a way for each bar to automatically come out differently when using it in the future?

[mwaskom]

IIRC, you can use hue. If you need more support, this is a better question for stackoverflow.