Skip to content

BaseTable API Reference

Type: groggy.BaseTable


Overview

Base class for tabular data operations shared by NodesTable and EdgesTable.

Primary Use Cases: - Generic table operations - Column-based data access - Aggregations and transformations

Related Objects: - NodesTable - EdgesTable - BaseArray


Complete Method Reference

The following methods are available on BaseTable objects. This reference is generated from comprehensive API testing and shows all empirically validated methods.

Method Returns Status
add_prefix() ?
add_suffix() ?
agg() ?
aggregate() ?
append() ?
append_row() ?
apply() BaseTable
apply_to_columns() BaseTable
apply_to_rows() BaseTable
assign() ?
check_outliers() ?
column() BaseArray
column_info() dict
column_names() list
columns() list
corr() BaseTable
corr_columns() ?
cov() BaseTable
cov_columns() ?
cummax() BaseArray
cummin() BaseArray
cumsum() BaseArray
describe() BaseTable
drop_columns() BaseTable
drop_duplicates() BaseTable
drop_rows() ?
dropna() BaseTable
dropna_subset() ?
expanding() ?
expanding_all() ?
extend() ?
extend_rows() ?
fillna() ?
fillna_all() ?
filter() ?
from_csv() ?
from_dict() ?
from_json() ?
from_parquet() ?
get_column_numeric() ?
get_column_raw() BaseArray
get_percentile() ?
group_by() TableArray
group_by_agg() ?
groupby() ?
groupby_single() TableArray
has_column() bool
has_nulls() bool
head() BaseTable
intersect() ?
is_empty() bool
isin() ?
isna() BaseTable
iter() BaseTableRowIterator
join() ?
median() ?
melt() ?
ncols() int
nlargest() BaseTable
notna() BaseTable
nrows() int
nsmallest() BaseTable
null_counts() dict
parse_join_on() ?
pct_change() BaseArray
percentile() ?
percentiles() ?
pivot_table() ?
profile() BaseTable
quantile() ?
quantiles() ?
query() ?
rename() ?
reorder_columns() ?
rich_display() str
rolling() ?
rolling_all() ?
sample() ?
select() BaseTable
set_column() ?
set_value() ?
set_values_by_mask() ?
set_values_by_range() ?
shape() tuple
shift() ?
slice() ?
sort_by() BaseTable
sort_values() BaseTable
std() ?
tail() BaseTable
to_csv() ?
to_edges_table() ?
to_json() ?
to_nodes_table() ?
to_pandas() DataFrame
to_parquet() ?
to_type() ?
union() ?
validate_schema() ?
value_counts() BaseTable
var() ?

Legend: - ✓ = Method tested and working - ✗ = Method failed in testing or not yet validated - ? = Return type not yet determined


Method Categories

Creation & Construction

None in this category.

Queries & Inspection

  • add_prefix()?
  • add_suffix()?
  • aggregate()?
  • append()?
  • append_row()?
  • apply()BaseTable
  • apply_to_columns()BaseTable
  • apply_to_rows()BaseTable
  • assign()?
  • check_outliers()?
  • column()BaseArray
  • column_info()dict
  • column_names()list
  • columns()list
  • corr()BaseTable
  • corr_columns()?
  • cov()BaseTable
  • cov_columns()?
  • cummax()BaseArray
  • cummin()BaseArray
  • cumsum()BaseArray
  • describe()BaseTable
  • drop_columns()BaseTable
  • drop_duplicates()BaseTable
  • drop_rows()?
  • dropna()BaseTable
  • dropna_subset()?
  • expanding()?
  • expanding_all()?
  • extend()?
  • extend_rows()?
  • fillna()?
  • fillna_all()?
  • from_csv()?
  • from_dict()?
  • from_json()?
  • from_parquet()?
  • get_column_numeric()?
  • get_column_raw()BaseArray
  • get_percentile()?
  • group_by_agg()?
  • groupby()?
  • groupby_single()TableArray
  • has_column()bool
  • has_nulls()bool
  • head()BaseTable
  • intersect()?
  • is_empty()bool
  • isin()?
  • isna()BaseTable
  • iter()BaseTableRowIterator
  • join()?
  • median()?
  • melt()?
  • ncols()int
  • nlargest()BaseTable
  • notna()BaseTable
  • nrows()int
  • nsmallest()BaseTable
  • null_counts()dict
  • parse_join_on()?
  • pct_change()BaseArray
  • percentile()?
  • percentiles()?
  • pivot_table()?
  • profile()BaseTable
  • quantile()?
  • quantiles()?
  • query()?
  • rename()?
  • reorder_columns()?
  • rich_display()str
  • rolling()?
  • rolling_all()?
  • set_column()?
  • set_value()?
  • set_values_by_mask()?
  • set_values_by_range()?
  • shape()tuple
  • shift()?
  • slice()?
  • sort_by()BaseTable
  • sort_values()BaseTable
  • std()?
  • tail()BaseTable
  • to_edges_table()?
  • to_nodes_table()?
  • to_type()?
  • union()?
  • validate_schema()?
  • value_counts()BaseTable
  • var()?

Transformations

  • agg()?
  • filter()?
  • group_by()TableArray
  • sample()?
  • select()BaseTable

Algorithms

None in this category.

State Management

None in this category.

I/O & Export

  • to_csv()?
  • to_json()?
  • to_pandas()DataFrame
  • to_parquet()?

Object Transformations

BaseTable can transform into:

  • BaseTable → BaseArray: table["column"]
  • BaseTable → DataFrame: table.to_pandas()
  • BaseTable → AggregationResult: table.agg(...)

See Object Transformation Graph for complete delegation chains.


See Also