drin commented on issue #14116:
URL: https://github.com/apache/arrow/issues/14116#issuecomment-1247235473
I believe the problem is that you are incorrectly providing data to
`from_pylist` and you are incorrectly structuring the data for `tags`.
Here is a code snippet that I think does what you're looking for:
```python
from pyarrow import Table
from pyarrow import int64, map_, schema, string, field
def test_map_type():
# 2 column schema; a map array is a list of tuples
pyarrow_schema = schema([
field('id' , int64() , False)
,field('tags', map_(string(), string()), False)
])
# each row should have: <key count> <= <column count>
first_row ={
'id' : 1
,'tags': [
('tag1', 'value1')
,('tag2', 'value2' )
]
}
second_row = {
'id' : 2
,'tags': [
('tag1', 'value1')
,('tag2', 'value2' )
]
}
tags_updated = [first_row, second_row]
table = Table.from_pylist(mapping=tags_updated,
schema=pyarrow_schema)
print(table.to_pydict())
test_map_type()
```
output:
```bash
>> python test.py
{'id': [1, 2], 'tags': [[('tag1', 'value1'), ('tag2', 'value2')], [('tag1',
'value1'), ('tag2', 'value2')]]}
```
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