如何将数据和索引设置为 pandas 数据框

Question

我有这样的查询

test = spark.sql("select mg.moviegenreid, sum(quantity) as total \
                from moviegenre mg \
                join movie m on m.moviegenreid = mg.moviegenreid \
                join detailtransaction dt on dt.movieid = m.movieid \
                join headertransaction ht on ht.transactionid = dt.transactionid \
                group by mg.moviegenreid \
                having sum(quantity) \
                order by total desc \
                limit 5")

然后我将它插入到 pandas 数据帧中

data = test.toPandas()

我只想使用

制作小节线

x = data[{"moviegenreid"}]
y = data[{"total"}
val = pd.DataFrame(data=y,index=x)
val.plot.bar()

我总是遇到这样的错误

ValueError: Index data must be 1-dimensional

Answer 1

{试试：

x = data["moviegenreid"]
y = data["total"]
val = pd.DataFrame({'data'=y},index=x)
val.plot.bar()