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feat: show missing value count/ratio in summarized statistics #684

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merged 4 commits into from
May 1, 2024
Merged

feat: show missing value count/ratio in summarized statistics #684

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d46ec0e
feat: remove `sum`
lars-reimann May 1, 2024
8209604
feat: swap `minimum` and `maximum`
lars-reimann May 1, 2024
5bdd9f9
feat: show `missing value count` and `missing value ratio`
lars-reimann May 1, 2024
c4536ca
style: apply automated linter fixes
megalinter-bot May 1, 2024
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46 changes: 25 additions & 21 deletions src/safeds/data/tabular/containers/_table.py
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Original file line number Diff line number Diff line change
Expand Up @@ -786,32 +786,34 @@ def summarize_statistics(self) -> Table:
>>> from safeds.data.tabular.containers import Table
>>> table = Table.from_dict({"a": [1, 3], "b": [2, 4]})
>>> table.summarize_statistics()
metrics a b
0 maximum 3 4
1 minimum 1 2
2 mean 2.0 3.0
3 mode [1, 3] [2, 4]
4 median 2.0 3.0
5 sum 4 6
6 variance 2.0 2.0
7 standard deviation 1.4142135623730951 1.4142135623730951
8 idness 1.0 1.0
9 stability 0.5 0.5
metric a b
0 minimum 1 2
1 maximum 3 4
2 mean 2.0 3.0
3 mode [1, 3] [2, 4]
4 median 2.0 3.0
5 variance 2.0 2.0
6 standard deviation 1.4142135623730951 1.4142135623730951
7 missing value count 0 0
8 missing value ratio 0.0 0.0
9 idness 1.0 1.0
10 stability 0.5 0.5
"""
import pandas as pd

if self.number_of_columns == 0:
return Table(
{
"metrics": [
"maximum",
"metric": [
"minimum",
"maximum",
"mean",
"mode",
"median",
"sum",
"variance",
"standard deviation",
"missing value count",
"missing value ratio",
"idness",
"stability",
],
Expand All @@ -820,22 +822,23 @@ def summarize_statistics(self) -> Table:
elif self.number_of_rows == 0:
table = Table(
{
"metrics": [
"maximum",
"metric": [
"minimum",
"maximum",
"mean",
"mode",
"median",
"sum",
"variance",
"standard deviation",
"missing value count",
"missing value ratio",
"idness",
"stability",
],
},
)
for name in self.column_names:
table = table.add_column(Column(name, ["-", "-", "-", "-", "-", "-", "-", "-", "-", "-"]))
table = table.add_column(Column(name, ["-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"]))
return table

columns = self.to_columns()
Expand All @@ -844,14 +847,15 @@ def summarize_statistics(self) -> Table:

for column in columns:
statistics = {
"maximum": column.maximum,
"minimum": column.minimum,
"maximum": column.maximum,
"mean": column.mean,
"mode": column.mode,
"median": column.median,
"sum": column.sum,
"variance": column.variance,
"standard deviation": column.standard_deviation,
"missing value count": column.missing_value_count,
"missing value ratio": column.missing_value_ratio,
"idness": column.idness,
"stability": column.stability,
}
Expand All @@ -866,7 +870,7 @@ def summarize_statistics(self) -> Table:
result = pd.concat([result, pd.DataFrame(values)], axis=1)

result = pd.concat([pd.DataFrame(list(statistics.keys())), result], axis=1)
result.columns = ["metrics", *self.column_names]
result.columns = ["metric", *self.column_names]

return Table._from_pandas_dataframe(result)

Expand Down
51 changes: 32 additions & 19 deletions tests/safeds/data/tabular/containers/_table/test_summarize_statistics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,27 +11,29 @@
Table({"col1": [1, 2, 1], "col2": ["a", "b", "c"]}),
Table(
{
"metrics": [
"maximum",
"metric": [
"minimum",
"maximum",
"mean",
"mode",
"median",
"sum",
"variance",
"standard deviation",
"missing value count",
"missing value ratio",
"idness",
"stability",
],
"col1": [
"2",
"1",
"2",
str(4.0 / 3),
"[1]",
"1.0",
"4",
str(1.0 / 3),
str(stdev([1, 2, 1])),
"0",
"0.0",
str(2.0 / 3),
str(2.0 / 3),
],
Expand All @@ -43,7 +45,8 @@
"-",
"-",
"-",
"-",
"0",
"0.0",
"1.0",
str(1.0 / 3),
],
Expand All @@ -54,15 +57,16 @@
Table(),
Table(
{
"metrics": [
"maximum",
"metric": [
"minimum",
"maximum",
"mean",
"mode",
"median",
"sum",
"variance",
"standard deviation",
"missing value count",
"missing value ratio",
"idness",
"stability",
],
Expand All @@ -73,15 +77,16 @@
Table({"col": [], "gg": []}),
Table(
{
"metrics": [
"maximum",
"metric": [
"minimum",
"maximum",
"mean",
"mode",
"median",
"sum",
"variance",
"standard deviation",
"missing value count",
"missing value ratio",
"idness",
"stability",
],
Expand All @@ -96,6 +101,7 @@
"-",
"-",
"-",
"-",
],
"gg": [
"-",
Expand All @@ -108,6 +114,7 @@
"-",
"-",
"-",
"-",
],
},
),
Expand All @@ -116,25 +123,31 @@
Table({"col": [None, None]}),
Table(
{
"metrics": [
"maximum",
"metric": [
"minimum",
"maximum",
"mean",
"mode",
"median",
"sum",
"variance",
"standard deviation",
"missing value count",
"missing value ratio",
"idness",
"stability",
],
"col": ["-", "-", "-", "[]", "-", "-", "-", "-", "0.0", "-"],
"col": ["-", "-", "-", "[]", "-", "-", "-", "2", "1.0", "0.0", "-"],
},
),
),
],
ids=["Column of integers and Column of characters", "empty", "empty with columns", "Column of None"],
ids=[
"Column of integers and Column of characters",
"empty",
"empty with columns",
"Column of None",
],
)
def test_should_summarize_statistics(table: Table, expected: Table) -> None:
assert expected.schema == table.summarize_statistics().schema
assert expected == table.summarize_statistics()
assert table.summarize_statistics().schema == expected.schema
assert table.summarize_statistics() == expected