Matplotlib remove space of candlestick for missing data

Question

I create a program that generate the candlestick chart and I have a problem with it. my data type is stock so it only have a data in weekdays.

So after I plotted it, it has spaces between the candlesticks.

How can I remove these?

Here is my plotter function code:

ohlc = []
date = []
while (loop < candleLength) :
    date.append(dateToFloat(stockData['date'][loop]))
    append = date[loop], stockData['open'][loop], stockData['high'][loop], stockData['low'][loop], stockData['close'][loop]
    ohlc.append(append)
    loop += 1

fig = plt.figure()
ax = plt.subplot2grid((1,1), (0,0))

candlestick_ohlc(ax, ohlc, width=0.66, colorup='#4dff4d', colordown='#ff471a')


for label in ax.xaxis.get_ticklabels():
    label.set_rotation(45)

ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
ax.xaxis.set_major_locator(mondays)
ax.grid(True)

`DataFormatter` is designed to display a continuous date range, so it would be better to plot your x-axis without this. — Martin Evans, Jun 16 '16 at 07:57
You should include example data in your code so people can test their solutions — Keatinge, Jun 16 '16 at 08:08

score 2 · Answer 1 · answered Aug 16 '19 at 07:43

2

You can set xticks sequential numbers (0, 1, 2, 3 ... up to the number of candles you want to plot) and then set xticklabels actual dates for better visualization. See my answer to this question for detailed implementation.

answered Aug 16 '19 at 07:43

Elgin Cahangirov

1,932
4
24
45

score 0 · Answer 2 · edited May 23 '17 at 12:01

0

Check out this link: How do I plot only weekdays using Python's matplotlib candlestick?

This should answer your question. I use it as well in my code.

edited May 23 '17 at 12:01

Community

1
1

answered Jun 16 '16 at 14:04

Aloex

103
8

score 0 · Answer 3 · answered Aug 16 '19 at 07:31

Try adding this into your code.

def mydate(x,pos):
    try:
        return mdates[int(x)].strftime('%Y-%m-%d')
    except IndexError:
        return ''

ax.xaxis.set_major_formatter(ticker.FuncFormatter(mydate))

Like this:

import matplotlib.ticker as ticker

ohlc = []
date = []
while (loop < candleLength) :
    date.append(dateToFloat(stockData['date'][loop]))
    append = date[loop], stockData['open'][loop], stockData['high'][loop], stockData['low'][loop], stockData['close'][loop]
    ohlc.append(append)
    loop += 1

fig = plt.figure()
ax = plt.subplot2grid((1,1), (0,0))

candlestick_ohlc(ax, ohlc, width=0.66, colorup='#4dff4d', colordown='#ff471a')


for label in ax.xaxis.get_ticklabels():
    label.set_rotation(45)


def mydate(x,pos):
    try:
        return mdates[int(x)].strftime('%Y-%m-%d')
    except IndexError:
        return ''

ax.xaxis.set_major_formatter(ticker.FuncFormatter(mydate))

ax.xaxis.set_major_locator(mondays)
ax.grid(True)

Welcome to SO, we appreciate your input! Please add some more explanation to your answer. — B--rian, Aug 16 '19 at 07:54

Matplotlib remove space of candlestick for missing data

3 Answers3