Matplotlib Candlestick (Intraday) Chart is One Big Blob

Question

I am trying to plot a Candlestick chart using Matplotlib with data I am acquiring for a REST API call. However since the call uses a unique access token I\'ve downloaded a s

Answer 1

It seems the undocumented width argument to candlestick_ohlc is the key. Multiply it by the fraction of a day between each of your data points. Since your data is in minute increments, this should do:

candlestick_ohlc(ax, tuples, width=.6/(24*60), colorup='g', alpha =.4);

To automate, use the difference between dates of successive data points. For example:

width=0.6/(mdates.date2num(dates[1])-mdates.date2num(dates[0]))

Note this turns out to be an FAQ, though the links are not obvious. See:

• Charting Candlestick_OHLC one minute bars with Pandas and Matplotlib
• python Matplotlib candlestick plot works only on daily data, not for intraday
• Matplotlib candlestick in minutes

Answer 2

Just change your width on the chart and it will be fine:

candlestick_ohlc(ax1, ohlc, width=0.001, colorup='#77d879', colordown='#db3f3f')

Tested using your data and it looks good.