Patito
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Tutorials - User Guide
Using Patito for DataFrame Validation
Integrating Polars With an SQL Database Using Efficient Caching
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patito.DataFrame
cast
derive
drop
fill_null
get
read_csv
set_model
validate
patito.Model
DataFrame
LazyFrame
columns
defaults
drop
dtypes
example
example_value
examples
from_row
join
non_nullable_columns
nullable_columns
pandas_examples
prefix
rename
select
sql_types
suffix
unique_columns
valid_dtypes
valid_sql_types
validate
with_fields
patito.Field
patito.Database
Query
cache_path
clear_caches
query_string
refresh_cache
__call__
as_query
query
patito.duckdb
Database
create_enum_types
create_table
create_view
default
empty_relation
execute
from_connection
query
table
to_relation
__contains__
Relation
add_prefix
add_suffix
aggregate
alias
all
case
cast
coalesce
columns
count
create_table
create_view
distinct
drop
except_
execute
filter
get
inner_join
insert_into
intersect
join
left_join
limit
model
order
rename
select
set_alias
set_model
to_df
to_pandas
to_series
types
union
with_columns
with_missing_defaultable_columns
with_missing_nullable_columns
__add__
__getitem__
__iter__
__len__
__str__
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patito.DataFrame
patito.Model
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patito.Database
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patito.duckdb
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