如何将行从 pyspark 中的 dataframe 转换为列但保留列名？ - pyspark 或 python

Question

I have an array where it is made up of several arrays.

Answer 1

Zip the list and then call the dataframe constructor:

df = spark.createDataFrame(zip(*all_data), cols)

---

df.show(truncate=False)
+-----------------------------+-----------+
|name                         |chromossome|
+-----------------------------+-----------+
|NM_019112.4(ABCA7):c.161-2A>T|19p13.3    |
|CCL2, 767C-G                 |17q11.2-q12|
+-----------------------------+-----------+

Or with zip_longest :

from itertools import zip_longest
df = spark.createDataFrame(zip_longest(*all_data,fillvalue=''),cols)
df.show()