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Search Results for "series"

Found 24 matching component(s)

  • function analyze_temporal_trends

    Analyzes and prints temporal trends in timing issues for treatments that occur before flock start dates or after flock end dates, breaking down occurrences by year and month.

    File: /tf/active/vicechatdev/data_quality_dashboard.py

    temporal-analysis data-quality time-series reporting data-validation

  • function analyze_logs

    Parses and analyzes log files to extract synchronization statistics, error counts, and performance metrics for a specified time period.

    File: /tf/active/vicechatdev/SPFCsync/monitor.py

    log-analysis file-synchronization monitoring statistics parsing

  • function main_v52

    Orchestrates and executes a series of example demonstrations for the DocChat system, including document indexing, RAG queries, and conversation modes.

    File: /tf/active/vicechatdev/docchat/example_usage.py

    demo examples orchestration RAG document-chat

  • function create_signature_image

    Generates a synthetic signature image for a given name, either as stylized text or as a random hand-drawn curve, and saves it as a PNG file with transparent background.

    File: /tf/active/vicechatdev/document_auditor/generate_sample_signatures.py

    image-generation signature PIL graphics document-generation

  • class StatisticalAgent

    LLM-powered statistical analysis agent

    File: /tf/active/vicechatdev/vice_ai/statistical_agent.py

    class statisticalagent

  • function calculate_cv

    Calculates the coefficient of variation (CV) for a dataset, expressed as a percentage of the standard deviation relative to the mean.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/d48d7789-9627-4e96-9f48-f90b687cd07d/analysis_1.py

    statistics coefficient-of-variation data-analysis variability dispersion

  • function detect_outliers_iqr

    Detects extreme outliers in a pandas Series using the Interquartile Range (IQR) method with a configurable multiplier (default 3.0).

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/5021ab2a-8cdd-44cb-81ad-201598352e39/analysis_1.py

    outlier-detection IQR interquartile-range data-cleaning anomaly-detection

  • function clean_for_json_v12

    Recursively sanitizes Python objects to make them JSON-serializable by converting non-serializable types (NumPy types, pandas objects, tuples, NaN/Inf values) into JSON-compatible formats.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/290a39ea-3ae0-4301-8e2f-9d5c3bf80e6e/project_3/analysis.py

    json serialization data-cleaning numpy pandas

  • class EnhancedSQLWorkflow

    Enhanced SQL workflow with iterative optimization

    File: /tf/active/vicechatdev/full_smartstat/enhanced_sql_workflow.py

    class enhancedsqlworkflow

  • function create_sample_data_v1

    Generates a synthetic dataset with 200 samples containing group-based measurements, quality scores, environmental data, and temporal information, then saves it to a CSV file.

    File: /tf/active/vicechatdev/full_smartstat/demo.py

    data-generation synthetic-data sample-data testing demonstration

  • function run_all_tests

    Orchestrates a comprehensive test suite for the Vendor Email Extractor system, verifying configuration, authentication, mailbox access, email search, and LLM connectivity.

    File: /tf/active/vicechatdev/find_email/test_vendor_extractor.py

    testing verification setup validation integration-test

  • class HashableJSON

    A JSON encoder extension that generates hashable string representations for a wide variety of Python objects, including those not normally JSON-serializable like sets, numpy arrays, and pandas DataFrames.

    File: /tf/active/vicechatdev/patches/util.py

    json hashing serialization memoization caching

  • function asarray

    Converts array-like objects (lists, pandas Series, objects with __array__ method) to NumPy ndarray format with optional strict validation.

    File: /tf/active/vicechatdev/patches/util.py

    array-conversion numpy data-processing type-conversion validation

  • function unique_array

    Returns an array of unique values from the input array while preserving the original order of first occurrence.

    File: /tf/active/vicechatdev/patches/util.py

    array-processing deduplication unique-values data-cleaning order-preserving

  • function is_series

    Checks whether the supplied data object is a pandas Series or dask Series type, with lazy loading support for dask.

    File: /tf/active/vicechatdev/patches/util.py

    type-checking validation pandas dask series

  • function validate_regular_sampling

    Validates whether a 1D array has regular (uniform) sampling by checking if the variation in consecutive differences is within a specified relative tolerance of the minimum sampling step.

    File: /tf/active/vicechatdev/patches/util.py

    validation sampling uniformity numerical-analysis time-series

  • function compute_density

    Computes the density (samples per unit) of a grid given start and end boundaries and the number of samples, with special handling for datetime/timedelta types.

    File: /tf/active/vicechatdev/patches/util.py

    density grid datetime timedelta sampling

  • function date_range

    Generates an evenly-spaced date range array with a specified number of samples between start and end dates, with dates centered in each interval.

    File: /tf/active/vicechatdev/patches/util.py

    datetime date-range time-series numpy pandas

  • function parse_datetime_v1

    Converts various date representations (string, integer, pandas Timestamp) into a numpy datetime64 object using pandas datetime parsing capabilities.

    File: /tf/active/vicechatdev/patches/util.py

    datetime date-parsing pandas numpy datetime64

  • function parse_datetime_selection

    Converts string or datetime-like selection specifications into parsed datetime objects, handling single values, slices, and collections.

    File: /tf/active/vicechatdev/patches/util.py

    datetime parsing data-selection time-series normalization

  • function dt_to_int

    Converts various datetime types (pandas, numpy, cftime, Python datetime) to an integer timestamp with a specified time unit.

    File: /tf/active/vicechatdev/patches/util.py

    datetime timestamp conversion time-series pandas

  • function cftime_to_timestamp

    Converts cftime datetime objects (or arrays) to timestamps since Unix epoch (1970-01-01 00:00:00) in specified time units, defaulting to microseconds.

    File: /tf/active/vicechatdev/patches/util.py

    datetime cftime timestamp calendar-conversion climate-data

  • class HoloMap

    HoloMap is an n-dimensional mapping container that stores viewable elements or overlays indexed by tuple keys along declared key dimensions, enabling interactive exploration through widgets.

    File: /tf/active/vicechatdev/patches/spaces.py

    visualization mapping multi-dimensional interactive container

  • class Scrollmenu

    A horizontal scroll menu component that displays a series of clickable icons representing different stages of a pathology workflow, built using Panel's ReactiveHTML for enhanced CSS customization.

    File: /tf/active/vicechatdev/resources/py2html.py

    panel reactive-html navigation menu ui-component

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