Easiest way I've found to remove top triangle in view

# Correlation
df_corr = data.corr().round(1)  
# Mask to matrix
mask = np.zeros_like(df_corr, dtype=bool)
mask[np.triu_indices_from(mask)] = True
# Viz
df_corr_viz = df_corr.mask(mask).dropna(how='all').dropna('columns', how='all')
fig = px.imshow(df_corr_viz, text_auto=True)
fig.show()

I think we can use df.corr() in pandas to calculate the correlation coefficient and make a heatmap of it.

import plotly.graph_objects as go
import random
import numpy as np

df = pd.DataFrame({'danceability': np.random.rand(100),
                  'energy': np.random.rand(100),
                  'loudness': np.random.rand(100),
                  'mode': random.choices([0,1], k=100)})
df_corr = df.corr()

print(df_corr)
danceability    energy  loudness    mode
danceability    1.000000    0.061570    0.048222    -0.060654
energy          0.061570    1.000000    0.019930    0.042376
loudness        0.048222    0.019930    1.000000    -0.044294
mode           -0.060654    0.042376    -0.044294   1.000000

fig = go.Figure()
fig.add_trace(
    go.Heatmap(
        x = df_corr.columns,
        y = df_corr.index,
        z = np.array(df_corr),
        text=df_corr.values,
        texttemplate='%{text:.2f}'
    )
)
fig.show()