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in Technique[技术] by (71.8m points)

python - Seaborn Bar Plot Ordering

I have a pandas dataframe that has two columns.

I need the plot ordered by the "Count" Column.

dicti=({'37':99943,'25':47228,'36':16933,'40':14996,'35':11791,'34':8030,'24' : 6319 ,'2'  :5055 ,'39' :4758 ,'38' :4611  })
pd_df = pd.DataFrame(list(dicti.iteritems()))
pd_df.columns =["Dim","Count"]
plt.figure(figsize=(12,8))
ax = sns.barplot(x="Dim", y= "Count",data=pd_df )
ax.get_yaxis().set_major_formatter(plt.FuncFormatter(lambda x, loc: "
{:,}".format(int(x))))
ax.set(xlabel="Dim", ylabel='Count')
for item in ax.get_xticklabels():
    item.set_rotation(90)
for i, v in enumerate(pd_df["Count"].iteritems()):        
    ax.text(i ,v[1], "{:,}".format(v[1]), color='m', va ='bottom', 
    rotation=45)
plt.tight_layout()

Right now the plot is getting ordered by the "Dim" column, I need it ordered by the "Count" column,How can I do this?enter image description here

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by (71.8m points)

you can use the order parameter for this.

sns.barplot(x='Id', y="Speed", data=df, order=result['Id'])

Credits to Wayne.

See the rest of his code.


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