I try to graph candlestick chart with candlestick_ohlc method from mplfinance module. I have a DataFrame indexed with Date data in datetime type and prices in OHLC order.
My code for matplotlib:
from mplfinance.original_flavor import candlestick_ohlc
# creating Subplots
fig, ax = plt.subplots()
# plotting the data
candlestick_ohlc(ax, df.values, width = 0.6,
colorup = 'green', colordown = 'red',
alpha = 0.8)
plt.show()
I have unexpected result for my graph.
I thought that candlesticks on my graph were showing also Date in timestamps and this was why I had misshaped thickness in the graph, but it wasn't.
I tried to adjust several parameters and ended up with the most simple code and the resulting graph was the same.
I went through all of the questions of stackoverflow, my problem persists.
Why can't I have correct Candlestick Charts?
The comment is correct that, for candlestick_ohlc(), the "time must be in float date format - see date2num".
That said, candlestick_ohlc() is obsolete and no longer supported. It requires that you convert your datetimes to matplotlib float date format, and that you format the x-axis dates yourself.
I strongly recommend you use the new version of mplfinance which does all that for you, into which you can simply pass a dataframe with a datetime index. See documentation here.
You code can then simply be:
import mplfinance as mpf
# plotting the data
mpf.plot(df, style='yahoo')
For further documentation (how to customize plots, colors, etc) click here.