import pandas as pd import plotly.graph_objects as go def generate_landscape_barplot(dataFrame: pd.DataFrame, landscape: str, feature: str, title: str, xaxis_title: str, yaxis_title: str, title_fontsize: float, tick_fontsize: float, angle: float, color_dict: dict[str, str], height: float = 900, width: float = 1600) -> go.Figure: ''' Returns a bar chart for one data's feature (column) and for one landscape. Parameters: ------------------------------------------------------------------------------------------------------------ dataFrame: Name of a pandas DataFrame(two-dimensional, size-mutable, potentially heterogeneous tabular data) landscape: Name of the landscape to be explored feature: Name of the dataFrame's column to be visualized title: Title of the barplot xaxis_title: Title of the x-axis yaxis_title: Title of the y-axis title_fontsize: Font size of the title tick_fontsize: Font size of the axes tick values angle: The angle of the x-axis tick values color_dict: Custom dictionary for the landscape, containing the colors for each value height: Height of the plot; default is 900 width: Width of the plot; default is 1600 ------------------------------------------------------------------------------------------------------------ ''' # Filter data for the current landscape landscape_data = dataFrame[dataFrame[landscape] == True] summary = landscape_data[feature].value_counts() # Create a bar chart for feature fig = go.Figure(go.Bar( x = summary.index, y = summary)) # Update layout fig.update_traces(marker_color = color_dict[landscape]) fig.update_layout(height = height, width = width, title = dict(text = title, font = dict(size = 22, family = "Times New Roman")), showlegend = False, xaxis = dict(title = xaxis_title, titlefont = dict(size = title_fontsize, family = "Times New Roman"), tickfont = dict(size = tick_fontsize, family = "Times New Roman")), yaxis = dict(title = yaxis_title, titlefont = dict(size = title_fontsize, family = "Times New Roman"), tickfont = dict(size = tick_fontsize, family = "Times New Roman")), barmode = "stack", xaxis_tickangle = angle) return fig