How to bin data from multiple columns?

Question

I have the following df | 1 | 2 | 3 | ------------------------- 0.11 0.25 0.74 0.32 0.93 0.26 0.44 0.28 0.76 0.15 0.29 0.79 etc. I'm using bins: bins = [0,.1,.2,.3,.4,.5,.6,.7,.8,.9,1] I created 3 bin columns and ran a value_counts() on them. So now I know how many values are in each bin for each of these 3 columns. But I'm having trouble plotting this into a barplot. Looking for a triple bar graph df['Bin1'] = pd.cut(df['1'], bins) df['Bin2'] = pd.cut(df['2'], bins) df['Bin3'] = pd.cut(df['3'], bins) Bin1_count = df['Bin1'].value_counts().values Bin2_count = df['Bin2'].value_counts().values Bin3_count = df['Bin3'].value_counts().values x_axis = df['Bin1'].value_counts().index sns.barplot(x = x_axis, y = [Bin1_count,Bin2_count,Bin3_count]) JavaScript questions and answers, JavaScript questions pdf, JavaScript question bank, JavaScript questions and answers pdf, mcq on JavaScript pdf, JavaScript questions and solutions, JavaScript mcq Test , Interview JavaScript questions, JavaScript Questions for Interview, JavaScript MCQ (Multiple Choice Questions)

Answer 1

You can using melt first , then using pd.crosstab, and try look at plot from pandas meltdf=df.melt() meltdf.value=pd.cut(meltdf.value,bins) pd.crosstab(meltdf.variable,meltdf.value).plot(kind='bar')