How to create new DataFrame with dict

Question

I had one dict, like:

cMap = {"k1" : "v1", "k2" : "v1", "k3" : "v2", "k4" : "v2"}

and one DataFrame A, like:

+---+
|key|
+----
| k1|
| k2|
| k3|
| k4|
+---+

to create the DataFame above with code:

data = [('k1'),
    ('k2'),
    ('k3'),
    ('k4')]
A = spark.createDataFrame(data, ['key'])

I want to get the new DataFrame, like:

+---+----------+----------+
|key|   v1     |    v2    |
+---+----------+----------+
| k1|true      |false     |
| k2|true      |false     |
| k3|false     |true      |
| k4|false     |true      |
+---+----------+----------+

I wish to get some suggestions, thanks!

Answer 1

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|
+---+---+---+-------+