whatstk.graph.figures package

Submodules

whatstk.graph.figures.boxplot module

Boxplot figures.

Functions

fig_boxplot_msglen(df[, username_to_color, …]) Visualize boxplot.
whatstk.graph.figures.boxplot.fig_boxplot_msglen(df, username_to_color=None, title='', xlabel=None)[source]

Visualize boxplot.

Parameters:
  • df (pandas.DataFrame) – Chat data.
  • username_to_color (dict, optional) –
  • title (str, optional) – Title for plot. Defaults to “”.
  • xlabel (str, optional) – x-axis label title. Defaults to None.
Returns:

plotly.graph_objs.Figure

whatstk.graph.figures.heatmap module

Heatmap plot figures.

Functions

fig_heatmap(df_matrix[, title]) Generate heatmap figure from NxN matrix.
whatstk.graph.figures.heatmap.fig_heatmap(df_matrix, title='')[source]

Generate heatmap figure from NxN matrix.

Parameters:
  • df_matrix (pandas.DataFrame) – Matrix as DataFrame. Index values and column values must be equal.
  • title (str) – Title of plot. Defaults to “”.
Returns:

plotly.graph_objs.Figure

whatstk.graph.figures.sankey module

Sankey plot figures.

Functions

fig_sankey(label, color, source, target, value) Generate sankey image.
whatstk.graph.figures.sankey.fig_sankey(label, color, source, target, value, title='')[source]

Generate sankey image.

Parameters:
  • label (list) – List with node labels.
  • color (list) – List with node colors.
  • source (list) – List with link source id.
  • target (list) – List with linke target id.
  • value (list) – List with link value.
  • title (str, optional) – Title. Defaults to “”.
Returns:

plotly.graph_objs.Figure

whatstk.graph.figures.scatter module

Scatter plot figures.

Functions

fig_scatter_time(user_data[, …]) Obtain Figure to plot using plotly.
whatstk.graph.figures.scatter.fig_scatter_time(user_data, username_to_color=None, title='', xlabel=None)[source]

Obtain Figure to plot using plotly.

user_data must be a pandas.DataFrame with timestamps as index and a column for each user. You can easily generate suitable user_data using the function get_interventions_count (disclaimer: not compatible with date_mode='hourweekday').

Parameters:
  • user_data (pandas.DataFrame) – Input data. Shape nrows x ncols, where nrows = number of timestaps and ncols = number of users.
  • username_to_color (dict, optional) –
  • title (str, optional) – Title of figure. Defaults to “”.
  • xlabel (str, optional) – x-axis label title. Defaults to None.
Returns:

plotly.graph_objs.Figure

See also

whatstk.graph.figures.utils module

Utils for library plots.

Functions

hex_color_palette(n_colors) Get palette of n_colors color hexadecimal codes.
whatstk.graph.figures.utils.hex_color_palette(n_colors)[source]

Get palette of n_colors color hexadecimal codes.

Parameters:n_colors (int) – Size of the color palette.

Module contents

Build Plotly compatible Figures.