Plot multiple columns of pandas DataFrame using Seaborn

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suppose I have DataFrame with columns ['X_Axis','col_2','col_3',...,'col_n',]

I need to plot the first column on X-Axis and rest on Y-Axis. FYI : all the values have been grouped according to X-Axis, the X-Axis values range from 0-25 and all other column values have been normalized to the scale of 0 - 1. I want it on same graph plot, not subplots.

Preferred : FactorPlot , normal line graph.

pandas seaborn dataframe matplotlib python
2 Answers

in addition to mighty @jezrael for those who come from google if you intend to plot lines with the index of the original dataframe just do as follows:

df = pd.DataFrame({'col_2':[.4,.5,.4,.5,.5,.4],
                   'col_3':[.7,.8,.9,.4,.2,.3],
                   'col_4':[.1,.3,.5,.7,.1,.0],
                   'col_5':[.5,.3,.6,.9,.2,.4]})

# resetting index before melting to save the current index in 'index' column...
df = df.reset_index().melt('index', var_name='cols',  value_name='vals')
g = sns.catplot(x="index", y="vals", hue='cols', data=df, kind='point')
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