feat: prql namespace for polars.DataFrame and polars.LazyFrame

[eitsupi]

Close#371

importpolarsasplfromdatetimeimportdatefrompyprqlimportpolars_namespacedf=pl.DataFrame({
"a": [1, 2, 3],
"b": ["zz", "yy", "xx"],
"c": [date(1999, 12, 31), date(2010, 10, 10), date(2077, 8, 8)],
})
df.prql.query("select {a, b, c_year = s'EXTRACT(year FROM c)'} | filter a > 1")
# shape: (2, 3)# ┌─────┬─────┬────────┐# │ a ┆ b ┆ c_year │# │ --- ┆ --- ┆ --- │# │ i64 ┆ str ┆ i32 │# ╞═════╪═════╪════════╡# │ 2 ┆ yy ┆ 2010 │# │ 3 ┆ xx ┆ 2077 │# └─────┴─────┴────────┘

[max-sixty]

Looks cool!

No objection to starting this as an optional dependency. We can then promote it if it turns out to be used lots. (I had a bit more objection in #374 to making everything optional).

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

[eitsupi]

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

That seems like a good idea, but I don't know if it is good practice to do that here.
For now, I would like to merge and release it as is.

[max-sixty]

For now, I would like to merge and release it as is.

For sure

That seems like a good idea, but I don't know if it is good practice to do that here.

It would be something like this in the __init__.py:

try:
import polars
except ImportError:
pass
else:
# Add to namespace

[eitsupi]

Close#371

importpolarsasplfromdatetimeimportdatefrompyprqlimportpolars_namespacedf=pl.DataFrame({
"a": [1, 2, 3],
"b": ["zz", "yy", "xx"],
"c": [date(1999, 12, 31), date(2010, 10, 10), date(2077, 8, 8)],
})
df.prql.query("select {a, b, c_year = s'EXTRACT(year FROM c)'} | filter a > 1")
# shape: (2, 3)# ┌─────┬─────┬────────┐# │ a ┆ b ┆ c_year │# │ --- ┆ --- ┆ --- │# │ i64 ┆ str ┆ i32 │# ╞═════╪═════╪════════╡# │ 2 ┆ yy ┆ 2010 │# │ 3 ┆ xx ┆ 2077 │# └─────┴─────┴────────┘

[max-sixty]

Looks cool!

No objection to starting this as an optional dependency. We can then promote it if it turns out to be used lots. (I had a bit more objection in #374 to making everything optional).

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

[eitsupi]

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

That seems like a good idea, but I don't know if it is good practice to do that here.
For now, I would like to merge and release it as is.

[max-sixty]

For now, I would like to merge and release it as is.

For sure

That seems like a good idea, but I don't know if it is good practice to do that here.

It would be something like this in the __init__.py:

try:
import polars
except ImportError:
pass
else:
# Add to namespace

[eitsupi]

Close#371

importpolarsasplfromdatetimeimportdatefrompyprqlimportpolars_namespacedf=pl.DataFrame({
"a": [1, 2, 3],
"b": ["zz", "yy", "xx"],
"c": [date(1999, 12, 31), date(2010, 10, 10), date(2077, 8, 8)],
})
df.prql.query("select {a, b, c_year = s'EXTRACT(year FROM c)'} | filter a > 1")
# shape: (2, 3)# ┌─────┬─────┬────────┐# │ a ┆ b ┆ c_year │# │ --- ┆ --- ┆ --- │# │ i64 ┆ str ┆ i32 │# ╞═════╪═════╪════════╡# │ 2 ┆ yy ┆ 2010 │# │ 3 ┆ xx ┆ 2077 │# └─────┴─────┴────────┘

[max-sixty]

Looks cool!

No objection to starting this as an optional dependency. We can then promote it if it turns out to be used lots. (I had a bit more objection in #374 to making everything optional).

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

[eitsupi]

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

That seems like a good idea, but I don't know if it is good practice to do that here.
For now, I would like to merge and release it as is.

[max-sixty]

For now, I would like to merge and release it as is.

For sure

That seems like a good idea, but I don't know if it is good practice to do that here.

It would be something like this in the __init__.py:

try:
import polars
except ImportError:
pass
else:
# Add to namespace

[eitsupi]

Close#371

importpolarsasplfromdatetimeimportdatefrompyprqlimportpolars_namespacedf=pl.DataFrame({
"a": [1, 2, 3],
"b": ["zz", "yy", "xx"],
"c": [date(1999, 12, 31), date(2010, 10, 10), date(2077, 8, 8)],
})
df.prql.query("select {a, b, c_year = s'EXTRACT(year FROM c)'} | filter a > 1")
# shape: (2, 3)# ┌─────┬─────┬────────┐# │ a ┆ b ┆ c_year │# │ --- ┆ --- ┆ --- │# │ i64 ┆ str ┆ i32 │# ╞═════╪═════╪════════╡# │ 2 ┆ yy ┆ 2010 │# │ 3 ┆ xx ┆ 2077 │# └─────┴─────┴────────┘

[max-sixty]

Looks cool!

No objection to starting this as an optional dependency. We can then promote it if it turns out to be used lots. (I had a bit more objection in #374 to making everything optional).

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

[eitsupi]

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

That seems like a good idea, but I don't know if it is good practice to do that here.
For now, I would like to merge and release it as is.

[max-sixty]

For now, I would like to merge and release it as is.

For sure

That seems like a good idea, but I don't know if it is good practice to do that here.

It would be something like this in the __init__.py:

try:
import polars
except ImportError:
pass
else:
# Add to namespace

[eitsupi]

Close#371

importpolarsasplfromdatetimeimportdatefrompyprqlimportpolars_namespacedf=pl.DataFrame({
"a": [1, 2, 3],
"b": ["zz", "yy", "xx"],
"c": [date(1999, 12, 31), date(2010, 10, 10), date(2077, 8, 8)],
})
df.prql.query("select {a, b, c_year = s'EXTRACT(year FROM c)'} | filter a > 1")
# shape: (2, 3)# ┌─────┬─────┬────────┐# │ a ┆ b ┆ c_year │# │ --- ┆ --- ┆ --- │# │ i64 ┆ str ┆ i32 │# ╞═════╪═════╪════════╡# │ 2 ┆ yy ┆ 2010 │# │ 3 ┆ xx ┆ 2077 │# └─────┴─────┴────────┘

[max-sixty]

Looks cool!

No objection to starting this as an optional dependency. We can then promote it if it turns out to be used lots. (I had a bit more objection in #374 to making everything optional).

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

[eitsupi]

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

That seems like a good idea, but I don't know if it is good practice to do that here.
For now, I would like to merge and release it as is.

[max-sixty]

For now, I would like to merge and release it as is.

For sure

That seems like a good idea, but I don't know if it is good practice to do that here.

It would be something like this in the __init__.py:

try:
import polars
except ImportError:
pass
else:
# Add to namespace

[eitsupi]

Close#371

importpolarsasplfromdatetimeimportdatefrompyprqlimportpolars_namespacedf=pl.DataFrame({
"a": [1, 2, 3],
"b": ["zz", "yy", "xx"],
"c": [date(1999, 12, 31), date(2010, 10, 10), date(2077, 8, 8)],
})
df.prql.query("select {a, b, c_year = s'EXTRACT(year FROM c)'} | filter a > 1")
# shape: (2, 3)# ┌─────┬─────┬────────┐# │ a ┆ b ┆ c_year │# │ --- ┆ --- ┆ --- │# │ i64 ┆ str ┆ i32 │# ╞═════╪═════╪════════╡# │ 2 ┆ yy ┆ 2010 │# │ 3 ┆ xx ┆ 2077 │# └─────┴─────┴────────┘

[max-sixty]

Looks cool!

No objection to starting this as an optional dependency. We can then promote it if it turns out to be used lots. (I had a bit more objection in #374 to making everything optional).

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

[eitsupi]

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

That seems like a good idea, but I don't know if it is good practice to do that here.
For now, I would like to merge and release it as is.

[max-sixty]

For now, I would like to merge and release it as is.

For sure

That seems like a good idea, but I don't know if it is good practice to do that here.

It would be something like this in the __init__.py:

try:
import polars
except ImportError:
pass
else:
# Add to namespace

[eitsupi]

Close#371

importpolarsasplfromdatetimeimportdatefrompyprqlimportpolars_namespacedf=pl.DataFrame({
"a": [1, 2, 3],
"b": ["zz", "yy", "xx"],
"c": [date(1999, 12, 31), date(2010, 10, 10), date(2077, 8, 8)],
})
df.prql.query("select {a, b, c_year = s'EXTRACT(year FROM c)'} | filter a > 1")
# shape: (2, 3)# ┌─────┬─────┬────────┐# │ a ┆ b ┆ c_year │# │ --- ┆ --- ┆ --- │# │ i64 ┆ str ┆ i32 │# ╞═════╪═════╪════════╡# │ 2 ┆ yy ┆ 2010 │# │ 3 ┆ xx ┆ 2077 │# └─────┴─────┴────────┘

[max-sixty]

Looks cool!

No objection to starting this as an optional dependency. We can then promote it if it turns out to be used lots. (I had a bit more objection in #374 to making everything optional).

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

[eitsupi]

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

That seems like a good idea, but I don't know if it is good practice to do that here.
For now, I would like to merge and release it as is.

[max-sixty]

For now, I would like to merge and release it as is.

For sure

That seems like a good idea, but I don't know if it is good practice to do that here.

It would be something like this in the __init__.py:

try:
import polars
except ImportError:
pass
else:
# Add to namespace

[eitsupi]

Close#371

importpolarsasplfromdatetimeimportdatefrompyprqlimportpolars_namespacedf=pl.DataFrame({
"a": [1, 2, 3],
"b": ["zz", "yy", "xx"],
"c": [date(1999, 12, 31), date(2010, 10, 10), date(2077, 8, 8)],
})
df.prql.query("select {a, b, c_year = s'EXTRACT(year FROM c)'} | filter a > 1")
# shape: (2, 3)# ┌─────┬─────┬────────┐# │ a ┆ b ┆ c_year │# │ --- ┆ --- ┆ --- │# │ i64 ┆ str ┆ i32 │# ╞═════╪═════╪════════╡# │ 2 ┆ yy ┆ 2010 │# │ 3 ┆ xx ┆ 2077 │# └─────┴─────┴────────┘

[max-sixty]

Looks cool!

No objection to starting this as an optional dependency. We can then promote it if it turns out to be used lots. (I had a bit more objection in #374 to making everything optional).

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

[eitsupi]

Another option is to detect whether polars is installed in pyprql.__init__ and add the namespace without having to import pyprql.polars_namespace — depends on the polars norms.

That seems like a good idea, but I don't know if it is good practice to do that here.
For now, I would like to merge and release it as is.

[max-sixty]

For now, I would like to merge and release it as is.

For sure

That seems like a good idea, but I don't know if it is good practice to do that here.

It would be something like this in the __init__.py:

try:
import polars
except ImportError:
pass
else:
# Add to namespace