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Using LSDB
Home page
Getting Started
Tutorials
1. Catalogs
The Catalog Object
Lazy Operations in LSDB
Column filtering (e.g. columns=)
Region selection filtering (e.g. search_filter)
Row filtering (e.g. .query)
Single row selection
Custom Structured Search
2. Analyzing Catalogs
Setting up a Dask Client
Margins
Crossmatching catalogs
Applying a function (e.g. map_partitions)
Working with TimeSeries
Plotting results
Exporting results (e.g. write_catalog)
3. Nested data manipulation
NestedFrame
Exploding Lightcurves to flat Source Tables
4. HATS creation and reading
Import catalogs
Manual catalog verification
5. Performance Tips
Index tables
Dask cluster configuration
Performance testing
Joining catalogs
Scaling Workflows
6. Working with Rubin Data
Accessing Rubin Data Preview 1
Intro to Rubin Catalog Operations
Accessing Rubin Data Preview 1 photo-z
Cross-matching with Variable Star Index catalog
Visualizing Periodic Lightcurves
7. Science Examples
Cross-match ZTF BTS and NGC
Import and cross-match DES and Gaia
Get a list of light-curves from ZTF and PS1
Cross-match Rubin DP1 and Gaia DR3 with epoch propagation
Search for Supernovae in ZTF alerts
8. Debugging
Dask Messages Guide
Data Access
1. data.lsdb.io
2. External Data Centers
3. HATS catalogs on Hugging Face
4. Finding HATS Catalogs with VO
5. HATS Catalog Structure
6. Access with http/cloud
7. Access with TAP
8. Server-side filtering
API Reference
Catalog
Catalog Types
Catalog
MarginCatalog
MapCatalog
Properties
hc_structure
dtypes
columns
nested_columns
all_columns
original_schema
margin
Inspection Methods
get_healpix_pixels
get_ordered_healpix_pixels
aggregate_column_statistics
per_pixel_statistics
estimate_size
partitions
npartitions
plot_pixels
plot_coverage
plot_points
__len__
Structured Search
ConeSearch
BoxSearch
PolygonSearch
OrderSearch
PixelSearch
MOCSearch
IndexSearch
cone_search
box_search
polygon_search
id_search
order_search
pixel_search
moc_search
search
Filtering Methods
iloc
loc
query
rename
head
tail
sample
random_sample
__getitem__
Dataframe Methods
map_rows
map_partitions
write_catalog
compute
to_delayed
get_partition
get_partition_index
prune_empty_partitions
to_dask_dataframe
Inter-catalog Methods
crossmatch
crossmatch_nested
concat
merge_map
merge
merge_asof
join
join_nested
nest_lists
Catalog Streaming
CatalogStream
InfiniteStream
IO
open_catalog
show_versions
from_dataframe
from_astropy
generate_catalog
to_hats
to_collection
to_association
Project
About & Citation
Contact Us / Getting Help
Contribution Guide
.rst
.pdf
compute
Contents
Catalog.compute()
compute
#
Catalog.
compute
(
)
→
NestedFrame
#
Compute dask distributed dataframe to pandas dataframe
Contents
Catalog.compute()
