# import pandas as pd # import plotly.express as px # def plot_to_html(df: pd.DataFrame, x: str, y: str, labels: dict, color_based_on: str, y_label: str = "", x_label: str = "", title: str = "", filepath: str = "plot") -> str: # # Create a bar plot with a greyscale color theme # fig = px.bar( # df, # x=x, # y=y, # title=title, # labels=labels, # color=color_based_on, # color_continuous_scale=px.colors.sequential.gray_r # ) # # Update layout for appearance # fig.update_layout( # xaxis_title=x_label, # yaxis_title=y_label, # Adding the y_label explicitly # template="plotly_white", # Light background for greyscale contrast # title_x=0.5, # Center the title # ) # fig.write_image(f"{filepath}.png") # return f"{filepath}.png" import pandas as pd import plotly.express as px def plot_to_html(df: pd.DataFrame, x: str, y: str, labels: dict, color_based_on: str, y_label: str = "", x_label: str = "", title: str = "", filepath: str = "plot") -> str: # Create a bar plot with a greyscale color theme fig = px.bar( df, x=x, y=y, title=title, labels=labels, color=color_based_on, color_continuous_scale=px.colors.sequential.Jet ) # Update layout for appearance fig.update_layout( xaxis_title=x_label, yaxis_title=y_label, # Adding the y_label explicitly template="plotly_white", # Light background for greyscale contrast title_x=0.5, # Center the title ) fig.write_image(f"{filepath}.png") return f"{filepath}.png" def plot_pie_chart(df: pd.DataFrame, names: str, values: str, labels: dict, title: str = "", filepath: str = "plot") -> str: # Create a pie chart fig = px.pie( df, names=names, values=values, title=title, labels=labels, color_discrete_sequence=px.colors.sequential.Jet ) # Update layout for appearance fig.update_layout( template="plotly_white", # Light background for greyscale contrast title_x=0.5 # Center the title ) fig.write_image(f"{filepath}.png") return f"{filepath}.png"