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63 lines
1.8 KiB
63 lines
1.8 KiB
import datetime
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from collections import defaultdict
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import matplotlib
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matplotlib.use('Qt5Agg')
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import matplotlib.pyplot as plt
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import matplotlib.dates as md
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from .i18n import _
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from .bitcoin import COIN
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class NothingToPlotException(Exception):
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def __str__(self):
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return _("Nothing to plot.")
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def plot_history(history):
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if len(history) == 0:
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raise NothingToPlotException()
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hist_in = defaultdict(int)
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hist_out = defaultdict(int)
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for item in history:
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if not item['confirmations']:
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continue
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if item['timestamp'] is None:
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continue
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value = item['value'].value/COIN
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date = item['date']
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datenum = int(md.date2num(datetime.date(date.year, date.month, 1)))
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if value > 0:
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hist_in[datenum] += value
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else:
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hist_out[datenum] -= value
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f, axarr = plt.subplots(2, sharex=True)
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plt.subplots_adjust(bottom=0.2)
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plt.xticks( rotation=25 )
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ax = plt.gca()
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plt.ylabel('BTC')
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plt.xlabel('Month')
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xfmt = md.DateFormatter('%Y-%m-%d')
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ax.xaxis.set_major_formatter(xfmt)
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axarr[0].set_title('Monthly Volume')
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xfmt = md.DateFormatter('%Y-%m')
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ax.xaxis.set_major_formatter(xfmt)
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width = 20
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r1 = None
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r2 = None
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dates_values = list(zip(*sorted(hist_in.items())))
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if dates_values and len(dates_values) == 2:
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dates, values = dates_values
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r1 = axarr[0].bar(dates, values, width, label='incoming')
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axarr[0].legend(loc='upper left')
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dates_values = list(zip(*sorted(hist_out.items())))
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if dates_values and len(dates_values) == 2:
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dates, values = dates_values
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r2 = axarr[1].bar(dates, values, width, color='r', label='outgoing')
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axarr[1].legend(loc='upper left')
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if r1 is None and r2 is None:
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raise NothingToPlotException()
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return plt
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