Plotly table

plotlytable.py

df_scrape["color"] = df_scrape["% Change"].map(lambda x:'red' if x<0 else 'green')
cols_to_show = ['Name','Token', 'Price', '% Change', 'Market Cap']

# to change color of "% change" column
fill_color = []
n = len(df_scrape)
for col in cols_to_show:
    if col!='% Change':
        fill_color.append(['black']*n)
    else:
        fill_color.append(df_scrape["color"].to_list())

# Plotly Table
data=[go.Table(columnwidth = [20,15,15,15,15],
                header=dict(values=[f"<b>{col}</b>" for col in cols_to_show],
                font=dict(color='white', size=20),
                height=30,
                line_color='black',
                fill_color='dimgrey',
                align=['left','left', 'right','right','right']),
                cells=dict(values=df_scrape[cols_to_show].values.T,
               fill_color=fill_color,
               font=dict(color='white', size=20),
               height=30,
               line_color='black',
               align=['left','left', 'right','right','right']))]

fig = go.Figure(data=data)
fig.update_layout(go.Layout(xaxis = {'showgrid': False},
                  yaxis = {'showgrid': False}))
fig.show()