如何在seaborn中将1行数据框绘制为条形图？

Question

I don't understand, what it wants from dataframe to be plotted. I have a dataframe

and trying to plot it. The goal is to have one bar per colum. But I can't.

I tried various combinations of this:

#df = df.transpose()
sns.barplot(y=df.index.values, x=df.values, order=df.index)

Answer 1

Try to change this wide format to long format using melt function in pandas.

long_df = pd.melt(df)
sns.barplot(y = long_df.variable, x = long_df.value)

Answer 2

Plot using seaborn.barplot

    import pandas as pd
    import seaborn as sns
    sales = {'Tony': 103,
     'Sally': 202,
     'Randy': 380,
     'Ellen': 101,
     'Fred': 82
    }

    #making dict to 1 row DataFrame
    df = pd.DataFrame(sales, index=[0])

    #flattening the values to be compliant with 
    #barplot method of seaborn and columns of dataframe
    
    values = df.values.flatten()
    sns.barplot(x = df.columns,y=values)

The only problem with your data is just you need to flatten it to make it compatible and use the above arguments of barplot