wrapper

Plot_pie

Plot_pie(data: pd.DataFrame, target: str, **kwargs)

Make pie plot

Parameters

• data : pd.DataFrame

  • pandas.DataFrame included data to make pie chart

• target : str

  • String which column you would like to use for pie chart

• **kwargs : dict

  • Additional keyword arguments passed to plotly.express.pie

Returns

plotly.graph_objects

Object of pie chart

Plot_sunburst

Plot_sunburst(data: pd.DataFrame, groups: list, **kwargs)

Make sunburst plot

Parameters

• data : pd.DataFrame

  • pandas.DataFrame included data to make sunburst chart

• groups : list

  • Strings list of group

  • Changed when you replace the order

• **kwargs : dict

  • Additional keyword arguments passed to plotly.express.sunburst

Returns

plotly.graph_objects

Object of sunburst chart

Plot_bubble_chart

Plot_bubble_chart(df: pd.DataFrame, x: str, y: str, color=None, facet_col=None, facet_row=None, rounded=None, decimals=None, normalize=False, smoothing=False, offset=0, **kwargs)

Make bubble chart

Parameters

• df : pandas.DataFrame

  • pandas.DataFrame included data to make plot

• x : str

  • X-axis column’s name

• y : str

  • Y-axis column’s name

• color : str, optional

  • Column name you want colorize with data, by default None

• facet_col : str, optional

  • Column name you want plot separated vertically, by default None

• facet_row : str, optional

  • Column name you want plot separated horizontally, by default None

• rounded : list, optional

  • Columns list which columns you want to round data, by default None

• decimals : list, optional

  • Decimals list what level you want to round for each columns, by default None

• normalize : bool, optional

  • If True, bubble size is calculated as normalized, by default False

• smoothing : bool, optional

  • If True, bubble size were smoothed between each plot, by default False

• offset : int, optional

  • Offset value for bubble size, by default 0

• **kwargs : dict

  • Additional keyword arguments passed to plotly.express.scatter

Returns

plotly.graph_objects

Object of bubble chart

Plot_line

Plot_line(df: pd.DataFrame, x: str, y: list, secondary_y: list, xtitle=None, ytitle=None, secondary_ytitle=None, save_html_path=None, vspan=None, vspan_color_randomize=False, sort_column=True, sort_x=True, opacity=0.2, px_kwargs=dict(), **kwargs)

Make line graph with secondary y using plotly.express

Parameters

• df : pd.DataFrame

  • Original dataframe

• x : str

  • X-axis column name

• y : list

  • Y-axis columns name

• secondary_y : list

  • Secondary y-axis columns name

• xtitle : str, optional

  • X-axis title, by default None

• ytitle : str, optional

  • Y-axis title, by default None

• secondary_ytitle : str, optional

  • Secondary y-axis title, by default None

• save_html_path : str or pathlib.Path, optional

  • Path to output graph as html file

• vspan : list, optional

  • Tuple list for filling color in specify period, by default None

• vspan_color_randomize : bool, optional

  • If True, choose random color, by default False

• sort_column : bool, optional

  • If True, sort y column list

• sort_x : bool, optional

  • If True, sort by x column

• opacity : float, optional

  • Same option of plotly.express.line, by default 0.2

• px_kwargs : dict, optional

  • Kwargs dictionary used for original plotly.express.line object, by default dict()

• **kwargs : dict

  • Additional keyword arguments for layout update

Returns

plotly.graph_objects

Plot graph with secondary y-axis

Plot_bubble_chart_with_line

Plot_bubble_chart_with_line(bubble_plot: Figure, line_info: dict, x1: float, x2: float, xtitle=None, ytitle=None, **kwargs)

Making bubble chart with linear plot

Parameters

• bubble_plot : Figure

  • Bubble chart object

• line_info : dict

  • Line dictionary with following structure:

  {
      "color": {
          "a": slope,
          "b": intercept
      }
  }
  

• x1 : float

  • Start x-axis value

• x2 : float

  • End x-axis value

• xtitle : str, optional

  • String of x-axis

• ytitle : str, optional

  • String of y-axis

• **kwargs : dict

  • Additional keyword arguments for layout update

Returns

plotly.graph_objects

Combined figure of bubble chart and line plot

Plot_surface

Plot_surface(df: pd.DataFrame, x: str, y: str, z: str, fill_value=0, smoothing=False, smooth_point_num=100, title=None, height=None, width=None, **kwargs)

Generates a 3D surface plot using Plotly

Parameters

• df : pd.DataFrame

  • The input data frame containing the data to plot

• x : str

  • The column name for the x-axis

• y : str

  • The column name for the y-axis

• z : str

  • The column name for the z-axis

• fill_value : int, optional

  • The value to fill missing data in the pivot table, by default 0

• smoothing : bool, optional

  • Whether to apply smoothing to the data, by default False

• smooth_point_num : int, optional

  • The number of points to use for smoothing, by default 100

• title : str, optional

  • The title of the plot, by default None

• height : int, optional

  • The height of the plot, by default None

• width : int, optional

  • The width of the plot, by default None

• **kwargs : dict

  • Additional keyword arguments for the plot

Returns

plotly.graph_objects

3D surface plot