pandas_profiling.model.messages

Logic for alerting the user on possibly problematic patterns in the data (e.g. high number of zeros , constant values, high correlations).

Functions

categorical_warnings(config, summary)

rtype

List[Message]

check_correlation_messages(config, correlations)

rtype

List[Message]

check_table_messages(table)

Checks the overall dataset for warnings.

check_variable_messages(config, col, description)

Checks individual variables for warnings.

generic_warnings(summary)

rtype

List[Message]

numeric_warnings(config, summary)

rtype

List[Message]

supported_warnings(summary)

rtype

List[Message]

unsupported_warnings(summary)

rtype

List[Message]

warning_skewness(v, threshold)

rtype

bool

warning_type_date(series)

rtype

bool

warning_value(value)

rtype

bool

Classes

Message(message_type[, values, column_name, …])

A message object (type, values, column).

MessageType(value)

Message Types