ScatterChart

class pandas_alive.charts.ScatterChart(df: pandas.core.frame.DataFrame, interpolate_period: bool, steps_per_period: int, period_length: int, period_fmt: str, figsize: Tuple[float, float], title: str, fig: matplotlib.figure.Figure, cmap: Union[str, matplotlib.colors.Colormap, List[str]], tick_label_size: Union[int, float, str], period_label: Union[bool, Dict[str, Union[int, float, str]]], period_summary_func: Callable, fixed_max: bool, dpi: int, writer: str, enable_progress_bar: bool, kwargs, size: Union[int, str], add_legend: bool)

ScatterChart to be generate animated plot with matplotlib.pyplot.axes.scatter

Accepts kwargs as detailed on https://matplotlib.org/3.2.1/api/_as_gen/matplotlib.pyplot.scatter.html

Parameters

_BaseChart – BaseChart constructor that all charts share

Raises

ValueError – Size label must be a column in DataFrame

Methods

ScatterChart.__init__(df, …)	Initialize self.
ScatterChart.anim_func(i)	Animation function, plots all scatter points and updates legend/period annotation.
ScatterChart.apply_style(ax)	Apply styling to axes with spines and grid, can be overridden
ScatterChart.calculate_new_figsize(real_fig)	Calculate figure size to allow for labels, etc
ScatterChart.clearing()	Function to remove all existing lines, collections, etc at the start of the animation AND after a save.
ScatterChart.create_figure()	Create base figure with styling, can be overridden if styling unwanted
ScatterChart.get_colors(cmap)	Get colours for plotting data
ScatterChart.get_data_cols(df)	Get list of columns containing plottable numeric data to plot
ScatterChart.get_frames()	Method for determining range of frames to animate.
ScatterChart.get_html5_video()	Convert the animation to an HTML5 <video> tag.
ScatterChart.get_interpolated_df(df, …)	Get interpolated dataframe to span total animation
ScatterChart.get_period_label(period_label)	Parameters for period annotation on charts, dict will be passed to kwargs in matplotlib.ax.text()
ScatterChart.get_single_color(color_string)	Get single RBGA value from string
ScatterChart.init_func()	Initialization function for animation
ScatterChart.make_animation(frames, init_func)	Method for creating animation
ScatterChart.plot_point(i)	Plot points for scatter on chart
ScatterChart.rename_data_columns(df)	Converts all column names to string
ScatterChart.save(filename)	Save method for FuncAnimation.
ScatterChart.set_x_y_limits(df, i, ax)	Set axis limits for both x and y of passed axes object
ScatterChart.setup_progress_bar()	Create an instance of alive-progress bar in manual mode
ScatterChart.show_period(i)	Show period label on plot
ScatterChart.update_progress_bar()	Update TQDM instance by 1
ScatterChart.validate_params()	Validate figure is a matplotlib Figure instance