python dateformatter_Python dates.DateFormatter方法代码示例
本文整理匯總了Python中matplotlib.dates.DateFormatter方法的典型用法代碼示例。如果您正苦于以下問題：Python dates.DateFormatter方法的具體用法？Python dates.DateFormatter怎么用？Python dates.DateFormatter使用的例子？那么恭喜您, 這里精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在模塊matplotlib.dates的用法示例。
在下文中一共展示了dates.DateFormatter方法的17個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點贊，您的評價將有助于我們的系統推薦出更棒的Python代碼示例。
示例1: plot_timeseries
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def plot_timeseries(DF, ax, name, startDate, stopDate, ylim=False):
"""
plots timeseries graphs
"""
# original time series
ax.plot(DF[name],color='#1f77b4')
ax.set_ylabel(name)
ax.set_ylim(ylim)
ax.set_xlim(pd.datetime.strptime(startDate,'%Y-%m-%d'),\
pd.datetime.strptime(stopDate,'%Y-%m-%d'))
# boxcar average
ax.plot(DF[name].rolling(180).mean(),color='red')
# make the dates exact
ax.fmt_xdata = mdates.DateFormatter('%Y-%m-%d')
開發者ID:samsammurphy，項目名稱:ee-atmcorr-timeseries，代碼行數:19，
示例2: test_DateFormatter
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def test_DateFormatter():
import matplotlib.testing.jpl_units as units
units.register()
# Lets make sure that DateFormatter will allow us to have tick marks
# at intervals of fractional seconds.
t0 = datetime.datetime(2001, 1, 1, 0, 0, 0)
tf = datetime.datetime(2001, 1, 1, 0, 0, 1)
fig = plt.figure()
ax = plt.subplot(111)
ax.set_autoscale_on(True)
ax.plot([t0, tf], [0.0, 1.0], marker='o')
# rrule = mpldates.rrulewrapper( dateutil.rrule.YEARLY, interval=500 )
# locator = mpldates.RRuleLocator( rrule )
# ax.xaxis.set_major_locator( locator )
# ax.xaxis.set_major_formatter( mpldates.AutoDateFormatter(locator) )
ax.autoscale_view()
fig.autofmt_xdate()
開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:24，
示例3: test_empty_date_with_year_formatter
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def test_empty_date_with_year_formatter():
# exposes sf bug 2861426:
# https://sourceforge.net/tracker/?func=detail&aid=2861426&group_id=80706&atid=560720
# update: I am no longer believe this is a bug, as I commented on
# the tracker. The question is now: what to do with this test
import matplotlib.dates as dates
fig = plt.figure()
ax = fig.add_subplot(111)
yearFmt = dates.DateFormatter('%Y')
ax.xaxis.set_major_formatter(yearFmt)
with tempfile.TemporaryFile() as fh:
assert_raises(ValueError, fig.savefig, fh)
開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:19，
示例4: test_empty_date_with_year_formatter
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def test_empty_date_with_year_formatter():
# exposes sf bug 2861426:
# https://sourceforge.net/tracker/?func=detail&aid=2861426&group_id=80706&atid=560720
# update: I am no longer believe this is a bug, as I commented on
# the tracker. The question is now: what to do with this test
import matplotlib.dates as dates
fig = plt.figure()
ax = fig.add_subplot(111)
yearFmt = dates.DateFormatter('%Y')
ax.xaxis.set_major_formatter(yearFmt)
with tempfile.TemporaryFile() as fh:
with pytest.raises(ValueError):
fig.savefig(fh)
開發者ID:holzschu，項目名稱:python3_ios，代碼行數:20，
示例5: graphRawFX
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def graphRawFX():
fig=plt.figure(figsize=(10,7))
ax1 = plt.subplot2grid((40,40), (0,0), rowspan=40, colspan=40)
ax1.plot(date,bid)
ax1.plot(date,ask)
#ax1.plot(date,((bid+ask)/2))
#ax1.plot(date,percentChange(ask[0],ask),'r')
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M:%S'))
#####
plt.grid(True)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
plt.gca().get_yaxis().get_major_formatter().set_useOffset(False)
#######
ax1_2 = ax1.twinx()
#ax1_2.plot(date, (ask-bid))
ax1_2.fill_between(date, 0, (ask-bid), facecolor='g',alpha=.3)
#ax1_2.set_ylim(0, 3*ask.max())
#######
plt.subplots_adjust(bottom=.23)
#plt.grid(True)
plt.show()
開發者ID:PythonProgramming，項目名稱:Pattern-Recognition-for-Forex-Trading，代碼行數:26，
示例6: graphRawFX
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def graphRawFX():
date,bid,ask = np.loadtxt('GBPUSD1d.txt', unpack=True,
delimiter=',',
converters={0:mdates.strpdate2num('%Y%m%d%H%M%S')})
fig=plt.figure(figsize=(10,7))
ax1 = plt.subplot2grid((40,40), (0,0), rowspan=40, colspan=40)
ax1.plot(date,bid)
ax1.plot(date,ask)
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M:%S'))
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
plt.subplots_adjust(bottom=.23)
plt.gca().get_yaxis().get_major_formatter().set_useOffset(False)
plt.grid(True)
plt.show()
開發者ID:PythonProgramming，項目名稱:Pattern-Recognition-for-Forex-Trading，代碼行數:21，
示例7: graphRawFX
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def graphRawFX():
fig=plt.figure(figsize=(10,7))
ax1 = plt.subplot2grid((40,40), (0,0), rowspan=40, colspan=40)
ax1.plot(date,bid)
ax1.plot(date,ask)
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M:%S'))
plt.grid(True)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
plt.gca().get_yaxis().get_major_formatter().set_useOffset(False)
ax1_2 = ax1.twinx()
ax1_2.fill_between(date, 0, (ask-bid), facecolor='g',alpha=.3)
plt.subplots_adjust(bottom=.23)
plt.show()
開發者ID:PythonProgramming，項目名稱:Pattern-Recognition-for-Forex-Trading，代碼行數:18，
示例8: get_graph
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def get_graph(df, coin_name, day_interval, dates=True):
import matplotlib.dates as mdates
from matplotlib import pyplot as plt
fig, ax = plt.subplots(figsize=(10, 5))
plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%a'))
if dates:
plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%d-%b'))
plt.gca().xaxis.set_major_locator(mdates.DayLocator(interval=day_interval))
plt.gcf().autofmt_xdate()
plt.xlabel('Date', fontsize=14)
plt.ylabel('Price', fontsize=14)
plt.title('{} Price History'.format(coin_name))
y = df[coin_name]
plt.plot(df['date'], y)
開發者ID:andrebrener，項目名稱:crypto_predictor，代碼行數:18，
示例9: adjust_xlim
?點贊 6
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def adjust_xlim(ax, timemax, xlabel=False):
xlim = mdates.num2date(ax.get_xlim())
update = False
# remove timezone awareness to make them comparable
timemax = timemax.replace(tzinfo=None)
xlim[0] = xlim[0].replace(tzinfo=None)
xlim[1] = xlim[1].replace(tzinfo=None)
if timemax > xlim[1] - timedelta(minutes=30):
xmax = xlim[1] + timedelta(hours=6)
update = True
if update:
ax.set_xlim([xlim[0], xmax])
for spine in ax.spines.values():
ax.draw_artist(spine)
ax.draw_artist(ax.xaxis)
if xlabel:
ax.xaxis.set_minor_locator(mdates.AutoDateLocator())
ax.xaxis.set_minor_formatter(mdates.DateFormatter('%H:%M\n'))
ax.xaxis.set_major_locator(mdates.DayLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter('\n%b %d'))
開發者ID:jxx123，項目名稱:simglucose，代碼行數:25，
示例10: ensemble_BG
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def ensemble_BG(BG, ax=None, plot_var=False, nstd=3):
mean_curve = BG.transpose().mean()
std_curve = BG.transpose().std()
up_env = mean_curve + nstd * std_curve
down_env = mean_curve - nstd * std_curve
# t = BG.index.to_pydatetime()
t = pd.to_datetime(BG.index)
if ax is None:
fig, ax = plt.subplots(1)
if plot_var and not std_curve.isnull().all():
ax.fill_between(
t, up_env, down_env, alpha=0.5, label='+/- {0}*std'.format(nstd))
for p in BG:
ax.plot_date(
t, BG[p], '-', color='grey', alpha=0.5, lw=0.5, label='_nolegend_')
ax.plot(t, mean_curve, lw=2, label='Mean Curve')
ax.xaxis.set_minor_locator(mdates.HourLocator(interval=3))
ax.xaxis.set_minor_formatter(mdates.DateFormatter('%H:%M\n'))
ax.xaxis.set_major_locator(mdates.DayLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter('\n%b %d'))
ax.axhline(70, c='green', linestyle='--', label='Hypoglycemia', lw=1)
ax.axhline(180, c='red', linestyle='--', label='Hyperglycemia', lw=1)
ax.set_xlim([t[0], t[-1]])
ax.set_ylim([BG.min().min() - 10, BG.max().max() + 10])
ax.legend()
ax.set_ylabel('Blood Glucose (mg/dl)')
# fig.autofmt_xdate()
return ax
開發者ID:jxx123，項目名稱:simglucose，代碼行數:33，
示例11: ensemblePlot
?點贊 6
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def ensemblePlot(df):
df_BG = df.unstack(level=0).BG
df_CGM = df.unstack(level=0).CGM
df_CHO = df.unstack(level=0).CHO
fig = plt.figure()
ax1 = fig.add_subplot(311)
ax2 = fig.add_subplot(312)
ax3 = fig.add_subplot(313)
ax1 = ensemble_BG(df_BG, ax=ax1, plot_var=True, nstd=1)
ax2 = ensemble_BG(df_CGM, ax=ax2, plot_var=True, nstd=1)
# t = df_CHO.index.to_pydatetime()
t = pd.to_datetime(df_CHO.index)
ax3.plot(t, df_CHO)
ax1.tick_params(labelbottom=False)
ax2.tick_params(labelbottom=False)
ax3.xaxis.set_minor_locator(mdates.AutoDateLocator())
ax3.xaxis.set_minor_formatter(mdates.DateFormatter('%H:%M\n'))
ax3.xaxis.set_major_locator(mdates.DayLocator())
ax3.xaxis.set_major_formatter(mdates.DateFormatter('\n%b %d'))
ax3.set_xlim([t[0], t[-1]])
ax1.set_ylabel('Blood Glucose (mg/dl)')
ax2.set_ylabel('CGM (mg/dl)')
ax3.set_ylabel('CHO (g)')
return fig, ax1, ax2, ax3
開發者ID:jxx123，項目名稱:simglucose，代碼行數:27，
示例12: matplotlib_locator_formatter
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def matplotlib_locator_formatter(timedelta, span=1):
"""
Compute appropriate locator and formatter for renderers
based on matplotlib, depending on designated time span.
"""
from matplotlib.dates import date_ticker_factory, DateFormatter
locator, formatter = date_ticker_factory(span)
# http://pandas.pydata.org/pandas-docs/stable/timedeltas.html
# https://stackoverflow.com/questions/16103238/pandas-timedelta-in-days
is_macro = timedelta <= Timedelta(days=1)
is_supermacro = timedelta <= Timedelta(minutes=5)
if is_macro:
#formatter = DateFormatter(fmt='%H:%M:%S.%f')
formatter = DateFormatter(fmt='%H:%M')
if is_supermacro:
formatter = DateFormatter(fmt='%H:%M:%S')
# Formatter overrides
#if formatter.fmt == '%H:%M\n%b %d':
# formatter = DateFormatter(fmt='%Y-%m-%d %H:%M')
# Labs
#from matplotlib.dates import AutoDateLocator, AutoDateFormatter, HOURLY
#locator = AutoDateLocator(maxticks=7)
#locator.autoscale()
#locator.intervald[HOURLY] = [5]
#formatter = AutoDateFormatter(breaks)
#formatter = date_format('%Y-%m-%d\n%H:%M')
# Default building blocks
#from matplotlib.dates import AutoDateFormatter, AutoDateLocator
#locator = AutoDateLocator()
#formatter = AutoDateFormatter(locator)
return locator, formatter
開發者ID:daq-tools，項目名稱:kotori，代碼行數:40，
示例13: __call__
?點贊 5
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def __call__(self, x, pos=0):
fmt = self._get_fmt(x)
self._formatter = dates.DateFormatter(fmt, self._tz)
return self._formatter(x, pos)
開發者ID:ktraunmueller，項目名稱:Computable，代碼行數:6，
示例14: plot_supply
?點贊 5
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def plot_supply(request):
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib.dates import DateFormatter
currency = request.GET['currency']
genesis = crypto_data[currency.lower()]['genesis_date']
currency_name = crypto_data[currency.lower()]['name']
s = SupplyEstimator(currency)
try:
max_block = crypto_data[currency.lower()]['supply_data']['reward_ends_at_block']
end = s.estimate_date_from_height(max_block)
except KeyError:
end = genesis + datetime.timedelta(days=365 * 50)
x = list(date_generator(genesis, end))
y = [s.calculate_supply(at_time=z)/1e6 for z in x]
fig = Figure()
ax = fig.add_subplot(111)
ax.plot_date(x, y, '-')
ax.set_title("%s Supply" % currency_name)
ax.grid(True)
ax.xaxis.set_label_text("Date")
ax.yaxis.set_label_text("%s Units (In millions)" % currency.upper())
ax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d'))
fig.autofmt_xdate()
canvas = FigureCanvas(fig)
response = http.HttpResponse(content_type='image/png')
canvas.print_png(response)
return response
開發者ID:priestc，項目名稱:MultiExplorer，代碼行數:36，
示例15: plotTimeline
?點贊 5
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def plotTimeline(dataTask, filename):
"""Build a timeline"""
fig = plt.figure()
ax = fig.gca()
worker_names = [x for x in dataTask.keys() if "broker" not in x]
min_time = getMinimumTime(dataTask)
ystep = 1. / (len(worker_names) + 1)
y = 0
for worker, vals in dataTask.items():
if "broker" in worker:
continue
y += ystep
if hasattr(vals, 'values'):
for future in vals.values():
start_time = [future['start_time'][0] - min_time]
end_time = [future['end_time'][0] - min_time]
timelines(ax, y, start_time, end_time)
#ax.xaxis_date()
#myFmt = DateFormatter('%H:%M:%S')
#ax.xaxis.set_major_formatter(myFmt)
#ax.xaxis.set_major_locator(SecondLocator(0, interval=20))
#delta = (stop.max() - start.min())/10
ax.set_yticks(np.arange(ystep, 1, ystep))
ax.set_yticklabels(worker_names)
ax.set_ylim(0, 1)
#fig.xlim()
ax.set_xlabel('Time')
fig.savefig(filename)
開發者ID:soravux，項目名稱:scoop，代碼行數:36，
示例16: get_inline_query_performance_statistics
?點贊 5
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def get_inline_query_performance_statistics(session):
"""Plot statistics regarding performance of inline query requests."""
creation_date = func.cast(InlineQueryRequest.created_at, Date).label(
"creation_date"
)
# Group the started users by date
strict_search_subquery = (
session.query(
creation_date, func.avg(InlineQueryRequest.duration).label("count")
)
.group_by(creation_date)
.order_by(creation_date)
.all()
)
strict_queries = [("strict", q[0], q[1]) for q in strict_search_subquery]
# Combine the results in a single dataframe and name the columns
request_statistics = strict_queries
dataframe = pandas.DataFrame(
request_statistics, columns=["type", "date", "duration"]
)
months = mdates.MonthLocator() # every month
months_fmt = mdates.DateFormatter("%Y-%m")
# Plot each result set
fig, ax = plt.subplots(figsize=(30, 15), dpi=120)
for key, group in dataframe.groupby(["type"]):
ax = group.plot(ax=ax, kind="bar", x="date", y="duration", label=key)
ax.xaxis.set_major_locator(months)
ax.xaxis.set_major_formatter(months_fmt)
image = image_from_figure(fig)
image.name = "request_duration_statistics.png"
return image
開發者ID:Nukesor，項目名稱:sticker-finder，代碼行數:37，
示例17: __graph_over
?點贊 5
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# 需要導入模塊: from matplotlib import dates [as 別名]
# 或者: from matplotlib.dates import DateFormatter [as 別名]
def __graph_over(cls, date, over_data_dicts, under_data_dict, title, xlabel, ylabel, save_name=None):
figure = plt.figure(figsize=GarminDBConfigManager.graphs('size'))
# First graph the data that appears under
axes = figure.add_subplot(111, frame_on=True)
axes.fill_between(under_data_dict['time'], under_data_dict['data'], 0, color=Colors.c.name)
axes.set_ylim(under_data_dict['limits'])
axes.set_xticks([])
axes.set_yticks([])
# then graph the data that appears on top
colors = [Colors.r.name, Colors.b.name]
for index, _ in enumerate(over_data_dicts):
over_data_dict = over_data_dicts[index]
color = colors[index]
label = over_data_dict['label']
axes = figure.add_subplot(111, frame_on=False, label=label)
axes.plot(over_data_dict['time'], over_data_dict['data'], color=color)
axes.set_ylabel(label, color=color)
axes.yaxis.set_label_position(YAxisLabelPostion.from_integer(index).name)
if (index % 2) == 0:
axes.yaxis.tick_right()
axes.set_xticks([])
else:
axes.yaxis.tick_left()
limits = over_data_dicts[index].get('limits')
if limits is not None:
axes.set_ylim(limits)
axes.grid()
axes.set_title(title)
axes.set_xlabel(xlabel)
x_format = mdates.DateFormatter('%H:%M')
axes.xaxis.set_major_formatter(x_format)
if save_name:
figure.savefig(save_name)
plt.show()
開發者ID:tcgoetz，項目名稱:GarminDB，代碼行數:36，
注：本文中的matplotlib.dates.DateFormatter方法示例整理自Github/MSDocs等源碼及文檔管理平臺，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。
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