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grouped_bar #16110

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27 changes: 27 additions & 0 deletions lib/matplotlib/pyplot.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2218,6 +2218,33 @@ def bar(
x, height, width=width, bottom=bottom, align=align,
**({"data": data} if data is not None else {}), **kwargs)

def grouped_bar(bar_width,df,group,categ,y):
"""
Creates a grouped bar chart given a dataframe df, column names(categ: categories column,group:column groups for each xtick ,y:height of bars)

E.g: Consider the dataframe below
df1=pd.DataFrame({'fruit':['apple']*3+['banana']*3+['mango']*3,
'energy':[10,20,15,10,20,15,10,20,15],'state':['notripe','ripe','mid']*3})


#creates the bar plot:

grouped_bar(bar_width=0.10,df=df1,group='state',categ='fruit',y='energy')
"""
uniq_cat=df[categ].unique()
uniq_group=df[group].unique()

plt.figure(figsize=(7,7))
plt.style.use('seaborn-dark-palette')

for i,barheights in enumerate(uniq_group):
barheights=(df[df[group]==uniq_group[i]][y]).values
x=np.arange(len(uniq_cat))
plt.bar(x+(bar_width*i),barheights,width=bar_width,label=uniq_group[i])

plt.xticks(ticks=x+bar_width/len(uniq_group),labels=uniq_cat)
plt.legend()


# Autogenerated by boilerplate.py. Do not edit as changes will be lost.
@docstring.copy(Axes.barbs)
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