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Original file line numberDiff line numberDiff line change
Expand Up@@ -22,12 +22,12 @@ def field(self, name_or_index: str | int):
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(
... [
... {"version": 1, "project": "pandas"},
... {"version": 2, "project": "pandas"},
... {"version": 1, "project": "numpy"},
... {"project": "pandas", "version": 1},
... {"project": "pandas", "version": 2},
... {"project": "numpy", "version": 1},
... ],
... dtype=bpd.ArrowDtype(pa.struct(
... [("version", pa.int64()), ("project", pa.string())]
... [("project", pa.string()), ("version", pa.int64())]
... ))
... )

Expand All@@ -41,7 +41,7 @@ def field(self, name_or_index: str | int):

Extract by field index.

>>> s.struct.field(0)
>>> s.struct.field(1)
0 1
1 2
2 1
Expand All@@ -68,22 +68,22 @@ def explode(self):
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(
... [
... {"version": 1, "project": "pandas"},
... {"version": 2, "project": "pandas"},
... {"version": 1, "project": "numpy"},
... {"project": "pandas", "version": 1},
... {"project": "pandas", "version": 2},
... {"project": "numpy", "version": 1},
... ],
... dtype=bpd.ArrowDtype(pa.struct(
... [("version", pa.int64()), ("project", pa.string())]
... [("project", pa.string()), ("version", pa.int64())]
... ))
... )

Extract all child fields.

>>> s.struct.explode()
version project
0 1 pandas
1 2 pandas
2 1numpy
project version
0 pandas 1
1 pandas 2
2 numpy1
<BLANKLINE>
[3 rows x 2 columns]

Expand DownExpand Up@@ -113,8 +113,8 @@ def dtypes(self):
... ))
... )
>>> s.struct.dtypes()
version Int64
project string[pyarrow]
version Int64
dtype: object

Returns:
Expand All@@ -140,21 +140,21 @@ def explode(self, column, *, separator: str = "."):
>>> countries = bpd.Series(["cn", "es", "us"])
>>> files = bpd.Series(
... [
... {"version": 1, "project": "pandas"},
... {"version": 2, "project": "pandas"},
... {"version": 1, "project": "numpy"},
... {"project": "pandas", "version": 1},
... {"project": "pandas", "version": 2},
... {"project": "numpy", "version": 1},
... ],
... dtype=bpd.ArrowDtype(pa.struct(
... [("version", pa.int64()), ("project", pa.string())]
... [("project", pa.string()), ("version", pa.int64())]
... ))
... )
>>> downloads = bpd.Series([100, 200, 300])
>>> df = bpd.DataFrame({"country": countries, "file": files, "download_count": downloads})
>>> df.struct.explode("file")
country file.version file.project download_count
0 cn 1pandas 100
1 es 2pandas 200
2 us 1numpy 300
country file.project file.version download_count
0 cn pandas1 100
1 es pandas2 200
2 us numpy1 300
<BLANKLINE>
[3 rows x 4 columns]

Expand Down