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Pyplot scatter
Pyplot scatter




pyplot scatter

Y ( str or int or Series or array-like) – Either a name of a column in data_frame, or a pandas Series or Which case the data will be treated as if it were ‘wide’ rather than Y can optionally be a list of column references or array_likes, in Position marks along the x axis in cartesian coordinates. Values from this column or array_like are used to X ( str or int or Series or array-like) – Either a name of a column in data_frame, or a pandas Series orĪrray_like object. Under the hood using the other arguments.

pyplot scatter

Optional: if missing, a DataFrame gets constructed

pyplot scatter

Array-like and dict are tranformed internally to a In a scatter plot, each row of data_frame is represented by a symbolĭata_frame ( DataFrame or array-like or dict) – This argument needs to be passed for column names (and not keyword scatter ( data_frame = None, x = None, y = None, color = None, symbol = None, size = None, hover_name = None, hover_data = None, custom_data = None, text = None, facet_row = None, facet_col = None, facet_col_wrap = 0, facet_row_spacing = None, facet_col_spacing = None, error_x = None, error_x_minus = None, error_y = None, error_y_minus = None, animation_frame = None, animation_group = None, category_orders = None, labels = None, orientation = None, color_discrete_sequence = None, color_discrete_map = None, color_continuous_scale = None, range_color = None, color_continuous_midpoint = None, symbol_sequence = None, symbol_map = None, opacity = None, size_max = None, marginal_x = None, marginal_y = None, trendline = None, trendline_options = None, trendline_color_override = None, trendline_scope = 'trace', log_x = False, log_y = False, range_x = None, range_y = None, render_mode = 'auto', title = None, template = None, width = None, height = None ) → aph_objects._figure.Figure ¶






Pyplot scatter