pyspark使用pandas读取csv，如何保留标题

我正在使用pandas chunks功能阅读csv。它工作，除了我不能保留标题。有没有办法/选择这样做？以下是示例代码：

import pyspark
import pandas as pd
sc = pyspark.SparkContext(appName="myAppName")
spark_rdd = sc.emptyRDD()

# filename: csv file
chunks = pd.read_csv(filename, chunksize=10000)
for chunk in chunks:
    spark_rdd +=  sc.parallelize(chunk.values.tolist())

    #print(chunk.head())
    #print(spark_rdd.toDF().show())
    #break

spark_df = spark_rdd.toDF()
spark_df.show()

---

我最终使用了databricks的spark csv

sc = pyspark.SparkContext()
sql = pyspark.SQLContext(sc)

df = sql.read.load(filename, 
                 format='com.databricks.spark.csv', 
                 header='true', 
                 inferSchema='true')

试试这个：

import pyspark
import pandas as pd
sc = pyspark.SparkContext(appName="myAppName")
spark_rdd = sc.emptyRDD()

# Read ten rows to get column names
x = pd.read_csv(filename,nrows=10)
mycolumns = list(x)

# filename: csv file
chunks = pd.read_csv(filename, chunksize=10000)
for chunk in chunks:
    spark_rdd +=  sc.parallelize(chunk.values.tolist())

spark_df = spark_rdd.map(lambda x:tuple(x)).toDF(mycolumns)
spark_df.show()

---

对于读取标题，

x=pd.read\u csv（filename，nrows=1）

就足够了吗？我同意它的任意性，如果您至少读取一行，那么读取1行、5行或10行实际上并不重要。