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Support for schemas smaller than the dataframe. #17

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Support for schemas smaller than the dataframe. #17

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6 changes: 4 additions & 2 deletions pandas_schema/schema.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,12 +29,14 @@ def __init__(self, columns: typing.Iterable[Column], ordered: bool = False):
self.columns = list(columns)
self.ordered = ordered

def validate(self, df: pd.DataFrame, columns: typing.List[str] = None) -> typing.List[ValidationWarning]:
def validate(self, df: pd.DataFrame, columns: typing.List[str] = None, allow_sub_schema: bool = False) -> \
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Also please split this over multiple lines so it doesn't need a linebreak escape

typing.List[ValidationWarning]:
"""
Runs a full validation of the target DataFrame using the internal columns list

:param df: A pandas DataFrame to validate
:param columns: A list of columns indicating a subset of the schema that we want to validate
:param allow_sub_schema: Allow to check sub schema
:return: A list of ValidationWarning objects that list the ways in which the DataFrame was invalid
"""
errors = []
Expand All @@ -44,7 +46,7 @@ def validate(self, df: pd.DataFrame, columns: typing.List[str] = None) -> typing
if columns is None:
schema_cols = len(self.columns)
columns_to_pair = self.columns
if df_cols != schema_cols:
if df_cols != schema_cols and not allow_sub_schema:
errors.append(
ValidationWarning(
'Invalid number of columns. The schema specifies {}, but the data frame has {}'.format(
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