How to create new DataFrame with dict

I just wanted to add an easy way to create DF, using pyspark

values = [("K1","true","false"),("K2","true","false")]
columns = ['Key', 'V1', 'V2']
df = spark.createDataFrame(values, columns)

from pyspark import SparkContext,SparkConf

from pyspark.sql import SQLContext
sc = SparkContext()
spark = SQLContext(sc)
val_dict = {
            'key1':val1,
            'key2':val2,
            'key3':val3
            }

rdd = sc.parallelize([val_dict])

bu_zdf = spark.read.json(rdd)

I just wanted to contribute a different and possibly easier way to solve this.

In my code I convert a dict to a pandas dataframe, which I find is much easier. Then I directly convert the pandas dataframe to spark.

data = {'visitor': ['foo', 'bar', 'jelmer'], 
        'A': [0, 1, 0],
        'B': [1, 0, 1],
        'C': [1, 0, 0]}

df = pd.DataFrame(data)
ddf = spark.createDataFrame(df)

Output:
+---+---+---+-------+
|  A|  B|  C|visitor|
+---+---+---+-------+
|  0|  1|  1|    foo|
|  1|  0|  0|    bar|
|  0|  1|  0| jelmer|
+---+---+---+-------+