How to combine two x axes using subplot - python-3.x

Question

I have two plots (candle and bar). I want to combine them in the same subplot (x-axes in the top for volume and x-axes at the bottom for dates), but when I try to combine both in the same subplot (row=2, col=1), the result it's not the expected.
import plotly from plotly
import subplots
import random
import pandas as pd
import plotly.graph_objects as go
fig = make_subplots(rows=3, cols=2)
high = 40
low = 5
dev = 1
days = 18
fake_market = []
for each in range(days):
ohlc = []
ohlc.append(each)
if each == 0:
o = random.randrange(low, high)
ohlc.append(o)
else:
ohlc.append(c) #I know
h = random.randrange(o, high)
ohlc.append(h)
l = random.randrange(low, o)
ohlc.append(l)
c = random.randrange(l, h)
ohlc.append(c)
fake_market.append(ohlc)
fake_volume = [[x, random.randrange(1, 200)] for x in range(low, (high+1))]
df = pd.DataFrame(fake_market, columns=["Date", "Open", "High", "Low", "Close"])
df2 = pd.DataFrame(fake_volume, columns=["Volume", "Price"])
fecha = ['2019-03-22', '2019-03-23', '2019-03-24', '2019-03-25',
'2019-03-26', '2019-03-27', '2019-03-28', '2019-03-29',
'2019-03-30', '2019-03-31', '2019-04-01', '2019-04-02',
'2019-04-03', '2019-04-04', '2019-04-05', '2019-04-06',
'2019-04-07', '2019-04-08']
candle =go.Candlestick(
x=fecha,
open=[str(x) for x in df.Open.to_list()],
high=[str(x) for x in df.High.to_list()],
low=[str(x) for x in df.Low.to_list()],
close=[str(x) for x in df.Close.to_list()],
visible=True,
showlegend=True,
xaxis='x3',
yaxis ='y3')
vol_bar = go.Bar(
x=[str(x) for x in df2.Price.to_list()],
y=[str(x) for x in df2.Volume.to_list()],
xaxis='x4',
yaxis ='y4',
name='volume',
orientation="h",
opacity=0.4, marker=dict(
color='rgba(246, 78, 139, 0.6)', line=dict(color='rgba(246, 78, 139, 1.0)', width=0.1)))
fig.add_trace(candle, row=2, col=1)
fig.add_trace(vol_bar, row=2, col=1)
fig.update_layout(
yaxis3=dict(
title="yaxis3 title",
titlefont=dict(
color="#1f77b4"
),
tickfont=dict(
color="#1f77b4"
)
),
yaxis4=dict(
title="yaxis4 title", side='right',
titlefont=dict(
color="#1f77b4"
),
tickfont=dict(
color="#1f77b4"
)
),
xaxis3=dict(
title="xaxis3 volume", side='top', overlaying='x',
titlefont=dict(
color="#9467bd"
),
tickfont=dict(
color="#9467bd"
)),
xaxis4=dict(
title="xaxis4 date", side='bottom',
titlefont=dict(
color="#9467bd"
),
tickfont=dict(
color="#9467bd"
))
)
fig.update_xaxes(rangeslider_visible=False)
fig.show()
The plots are showed as follow:
The plots:
The result: The result:
The plot expected: The plot expected:
Apparently the x axes are mixing and that is the reason for getting a distorted graph is obtained.