I\'m not managing to plot matplotlib.finance.candlestick without the weekends (blank spaces between every 5 candlesticks). The example from Matplotlib\'s website doesn\'t e
While @JMJR's answer works, I find this to be more robust:
def plot(x):
plt.figure()
plt.title("VIX curve")
def idx(val=[0]):
val[0] = val[0] + 1
return val[0]
d = collections.defaultdict(idx)
# give each date an index
[d[t] for t in sorted(x.index.get_level_values('baropen_datetime').unique())]
# use the index
x['idx'] = [d[t] for t in x.index.get_level_values('baropen_datetime')]
# plot using index
x.groupby('code').apply(lambda y: plt.plot(y.idx.values,
y.close.values,
label=y.index.get_level_values('code')[0]))
plt.legend()
plt.show()
plt.close()
After your 'quotes' line:
weekday_quotes = [tuple([i]+list(quote[1:])) for i,quote in enumerate(quotes)]
then
candlestick(ax, weekday_quotes, width=0.6)
This will plot the data without the gaps between weekdays, now you have to change the xticks back to dates, preferably mondays. Assuming your first quote was a monday:
import matplotlib.dates as mdates
ax.set_xticks(range(0,len(weekday_quotes),5))
ax.set_xticklabels([mdates.num2date(quotes[index][0]).strftime('%b-%d') for index in ax.get_xticks()])
This is pretty gross but seems to get the job done - good luck!