✊🏿 Black Lives Matter. Please consider donating to Black Girls Code today.
📊 Dash 2.0 is Arriving. Register here.

After upgrade to plotly 4.14.3 all my charts are broken

After upgrading plotly.py to 4.14.3 from 4.13.0 my charts now display incorrectly, see sample below.
Charts are created from pandas dataframe data.
Do I need to do something different now when working with pandas and plotly.
If use cufflinks to make some charts and they are still OK.

Sample of fig creation is:
fig=make_subplots(rows=17, cols=1,shared_xaxes=True,
subplot_titles=(“HITS”, “ACCESSES”, “LockBlk”,“HIT %”, “DelAck NL”, “DelAck FC”, “DelAck SSD”, “Pages Free”,“Pages Clean”,“Pages Write1”,“Pages WriteN”,“Pages WriteSched”,“Pages Writing”,“Pages DcowPending”,“CMP Dirty/Max NL”,“CMP Dirty/Max FC”,“CMP Dirty/Max SSD”),vertical_spacing=0.03)
for c2print in col_2_print:
chart_name,chart_row_no,chart_col_no,axis_color = xlate_4_col_names[c2print]
fig.add_trace(go.Scatter(x=fig_df.index, y=fig_df.loc[:,(c2print)],
name = chart_name,
line=dict(color=(axis_color)),
hoverlabel = dict(namelength = -1)),row=chart_row_no, col=chart_col_no)

I think I worked it out.
My df has dtype = object, if I change it to float all is back to normal.

eg:
y=cpu_df.loc[:,(c2print)].astype(‘float’)