pandas_profiling.visualisation.plot

Plot functions for the profiling report.

Functions

cat_frequency_plot(config, data)

Generate category frequency plot to show category frequency.

correlation_matrix(config, data[, vmin])

Plot image of a matrix correlation.

create_comparison_color_list(config)

rtype

List[str]

format_fn(tick_val, tick_pos)

rtype

str

get_cmap_half(cmap)

Get the upper half of the color map

get_correlation_font_size(n_labels)

Dynamic label font sizes in correlation plots

histogram(config, series, bins[, date])

Plot an histogram of the data.

mini_histogram(config, series, bins[, date])

Plot a small (mini) histogram of the data.

mini_ts_plot(config, series)

Plot an time-series plot of the data.

missing_bar(data[, figsize, fontsize, ...])

A bar chart visualization of the missing data.

missing_heatmap(data[, figsize, fontsize, ...])

Presents a seaborn heatmap visualization of missing data correlation.

missing_matrix(data[, figsize, color, ...])

A matrix visualization of missing data.

plot_acf_pacf(config, series[, figsize])

rtype

str

scatter_complex(config, series)

Scatter plot (or hexbin plot) from a series of complex values

scatter_pairwise(config, series1, series2, ...)

Scatter plot (or hexbin plot) from two series

scatter_series(config, series[, x_label, ...])

Scatter plot (or hexbin plot) from one series of sequences with length 2

timeseries_heatmap(dataframe, entity_column)

Generate a multi entity timeseries heatmap based on a pandas DataFrame.