Data Process

quick-anomaly-detector.data_process includs the funtion to process data and show graph.

data_process.apply_transformations(df, ...)

Apply logarithm and square transformations to a column in a DataFrame.

data_process.calculate_metrics(...)

Calculate various evaluation metrics for binary classification.

data_process.check_valid_tensor_data(...)

Perform checks on the input tensor.

data_process.graph_scatter(df, x_column, ...)

Create a scatter plot with color mapping based on a column of a DataFrame.

data_process.graph_multiple_histograms(df, ...)

Plot multiple histograms of specified columns from a DataFrame.

data_process.category_hist_graph(df, ...)

This function is for plot the histograms of category feature

data_process.check_wrong(df[, predict, label])

check_wrong is a function to calculate the predicted wrongly df

data_process.parse_dates(df, date_column_name)

Example: