verticapy.vDataFrame.animated_bar#

Draws the animated bar chart (bar race).

Parameters#

ts: str: TS (Time Series) vDataColumn used to order the data. The vDataColumn type must be date (date, datetime, timestamp…) or numerical.
columns: SQLColumns: List of the vDataColumns names.
by: str, optional: Categorical vDataColumn used in the partition.
start_date: PythonScalar, optional: Input Start Date. For example, time = ‘03-11-1993’ will filter the data when ‘ts’ is less than the 3rd of November 1993.
end_date: PythonScalar, optional: Input End Date. For example, time = ‘03-11-1993’ will filter the data when ‘ts’ is greater than the 3rd of November 1993.
limit_over: int, optional: Limits the number of elements to consider for each category.
limit: int, optional: Maximum number of data points to use.
fixed_xy_lim: bool, optional: If set to True, the xlim and ylim are fixed.
date_in_title: bool, optional: If set to True, the ts vDataColumn is displayed in the title section.
date_f: function, optional: Function used to display the ts vDataColumn.
date_style_dict: dict, optional: Style Dictionary used to display the ts vDataColumn when date_in_title = False.
interval: int, optional: Number of ms between each update.
repeat: bool, optional: If set to True, the animation is repeated.
chart: PlottingObject, optional: The chart object used to plot.
**style_kwargs: Any optional parameter to pass to the plotting functions.

Note

The below example is a very basic one. For other more detailed examples and customization options, please see :ref:`chart_gallery.animated`_

Let’s begin by importing VerticaPy.

import verticapy as vp

import verticapy.datasets as vpd

Let’s import the dataset:

pop_growth = vpd.load_pop_growth()

pop_growth.animated_bar(
  ts = "year",
  columns = ["city", "population"],
  by = "continent",
  start_date = 1970,
  end_date = 1980,
)