I need candlestick chart in one subplot and another subplot which share Y axe with candlestick chart.
I have following code drawing subplots:

df = get_current_data(limit=150)
df_asks, df_bids = get_order_book_data(bookStep="step0",limit=150)
fig, ((ax1, ax2),(ax3,ax4)) = plt.subplots(2,2, sharex='col', sharey='row', width_ratios=[5,1], height_ratios=[5,1])
ax1.plot(df["timestamp"],df["close"])
ax2.plot(df_asks["amount"],df_asks["price"],"r")
ax2.plot(df_bids["amount"],df_bids["price"],"g")
ax3.bar(df["timestamp"],df["volume"], width=0.0005)
plt.subplots_adjust(wspace=0.0,hspace=0.0)
ax1.set_title("BTC USD")
ax2.set_title("Orders Book")
ax1.set_ylabel("Price")
ax3.set_ylabel("Volume")
ax1.grid()
ax2.grid()
plt.show()

Result:

I need instead of BTC line to draw candlesticks.
I know i can use mplfinance library to draw candlestick chart, but seems to be mplfinance allows to stack additional subplots ONLY vertically sharing X (index of DataFrame which is datetime).

I need candlestick chart in one subplot and another subplot which share Y axe with candlestick chart.
I have following code drawing subplots:

df = get_current_data(limit=150)
df_asks, df_bids = get_order_book_data(bookStep="step0",limit=150)
fig, ((ax1, ax2),(ax3,ax4)) = plt.subplots(2,2, sharex='col', sharey='row', width_ratios=[5,1], height_ratios=[5,1])
ax1.plot(df["timestamp"],df["close"])
ax2.plot(df_asks["amount"],df_asks["price"],"r")
ax2.plot(df_bids["amount"],df_bids["price"],"g")
ax3.bar(df["timestamp"],df["volume"], width=0.0005)
plt.subplots_adjust(wspace=0.0,hspace=0.0)
ax1.set_title("BTC USD")
ax2.set_title("Orders Book")
ax1.set_ylabel("Price")
ax3.set_ylabel("Volume")
ax1.grid()
ax2.grid()
plt.show()

Result:

I need instead of BTC line to draw candlesticks.
I know i can use mplfinance library to draw candlestick chart, but seems to be mplfinance allows to stack additional subplots ONLY vertically sharing X (index of DataFrame which is datetime).

• python
• matplotlib
• candlestick-chart

• Have you tried the External Axes Method of mplfinance? github/matplotlib/mplfinance/blob/master/markdown/… – RuthC Commented Mar 23 at 23:26

2 Answers 2

i tried a couple of approaches, and found that old (depricated) mpl-finance working good. But old API is available in new version of library as original_flavor.

from mplfinance.original_flavor import candlestick_ohlc

df = get_current_data(limit=150)
df_asks, df_bids = get_order_book_data(bookStep="step0",limit=150)
xs = mdates.date2num(df["timestamp"])
fig, ((ax1, ax2),(ax3,ax4)) = plt.subplots(2,2, sharex='col', sharey='row', width_ratios=[5,1], height_ratios=[5,1])
hfmt = mdates.DateFormatter('%m-%d %H:%M:%S')
ax1.xaxis.set_major_formatter(hfmt)
candlestick_ohlc(ax1, zip(xs, df['open'], df['high'], df['low'], df['close']), colorup='g', colordown='r', width=0.0004)
ax2.plot(df_asks["amount"],df_asks["price"],"r")
ax2.plot(df_bids["amount"],df_bids["price"],"g")
ax3.bar(xs,df["volume"], width=0.0005)
plt.subplots_adjust(wspace=0.0,hspace=0.0)
ax1.set_title("BTC USD")
ax2.set_title("Orders Book")
ax1.set_ylabel("Price")
ax3.set_ylabel("Volume")
ax1.grid()
ax2.grid()

plt.show()

Result:

Use mplfinance.original_flavor for candlestick charts in custom subplot layouts:

from mplfinance.original_flavor import candlestick_ohlc

import matplotlib.dates as mdates

# Create subplots with specific ratios

fig, ((ax1, ax2),(ax3,ax4)) = plt.subplots(2, 2, sharex='col', sharey='row', 

                                          width_ratios=[5,1], height_ratios=[5,1])

# Convert dates to matplotlib format

xs = mdates.date2num(df["timestamp"])

# Format dates

hfmt = mdates.DateFormatter('%m-%d %H:%M:%S')

ax1.xaxis.set_major_formatter(hfmt)

# Plot candlesticks

candlestick_ohlc(ax1, zip(xs, df['open'], df['high'], df['low'], df['close']), 

                colorup='g', colordown='r', width=0.0004)

# Add other plots

ax2.plot(df_asks["amount"], df_asks["price"], "r")  # Order book asks

ax2.plot(df_bids["amount"], df_bids["price"], "g")  # Order book bids

ax3.bar(xs, df["volume"], width=0.0005)             # Volume

# Remove spacing between subplots

plt.subplots_adjust(wspace=0.0, hspace=0.0)

This approach successfully creates a candlestick chart that can share axes with other custom subplot layouts.