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.