plot_data.py

import pandas as pd
import plotly.graph_objects as go
from plotly_resampler import FigureResampler, FigureWidgetResampler



def plotly_plot(df, time_column, data_column, mittelwert):
        

        if mittelwert > 0:
            df[data_column] = df[data_column].rolling(mittelwert).mean()

        fig = FigureWidgetResampler(go.Figure())
        
        fig.add_trace(go.Scatter(x=df[time_column], y=df[data_column], mode='lines', name=data_column))
        
        fig.update_layout(
            xaxis=dict(
                showline=True,
                showgrid=True,
                showticklabels=True,
                linecolor='black',
                linewidth=1.5,
                ticks='outside',
                tickfont=dict(
                    family='Arial',
                    size=14,
                    color='black'
                ),
            ),
            yaxis=dict(
                showgrid=True,
                zeroline=True,
                showline=True,
                showticklabels=True,
                linecolor='black',
                linewidth=1.5,
                ticks='outside',
                tickfont=dict(
                    family='Arial',
                    size=14,
                    color='black'
                ),
            ),
            autosize=True,
            margin=dict(
                autoexpand=True,
                l=100,
                r=20,
                t=110,
            ),
            showlegend=True,
            plot_bgcolor='white'
        )
        
        return fig