from datetime import datetime
import plotly.express as px
from scipy.signal import savgol_filter

# create dataframe from labelled topics, 
# combine with timestamp from date column
time_df = pd.DataFrame(
    dict(
        date=timestamps,
        **dict(zip(analysis_result.topic_names, doc_topic.T /
                                                doc_topic.sum(axis=1)))
    )
).set_index("date")

# group dataframe to monthly frequency
time_df = time_df.groupby(by=[time_df.index.month, time_df.index.year]).mean()
time_df.index = [datetime(year=y, month=m, day=1) for m, y in time_df.index]
time_df = time_df.sort_index()

# display dataframe with Plotly

for col in time_df.columns:
    time_df[col] = savgol_filter(time_df[col], 12, 2)
fig = px.line(
    time_df.sort_index(),
    template="plotly_white",
)
fig.show()