Série temporelle avec matplotlib

Pour tracer une série temporelle avec matplotlib, le plus simple est de passer par pandas. Exemple simple:

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

ts = pd.Series(np.random.randn(1000), \
               index=pd.date_range('1/1/2000', \
               periods=1000))
ts = ts.cumsum()
ts.plot()

plt.savefig('SerieTemporelle.png')
plt.show()

Exemple de série temporelle avec matplotlib avec les labels orientés verticalement (source)

import numpy as np
from matplotlib import pyplot as plt
from matplotlib import dates
import datetime

a = np.array([
    [1293605162197, 500, 1000],
    [1293605477994, 200, 300],
    [1293605478057, 50, 150],
    [1293605478072, 2500, 2000],
    [1293606162213, 500, 1000],
    [1293606162229, 200, 600]])

d = a[:,0]
y1 = a[:,1]
y2 = a[:,2]

# convert epoch to matplotlib float format
s = d/1000
ms = d-1000*s  # not needed?
dts = map(datetime.datetime.fromtimestamp, s)
fds = dates.date2num(dts) # converted

# matplotlib date format object
hfmt = dates.DateFormatter('%m/%d %H:%M')

fig = plt.figure()
ax = fig.add_subplot(111)
ax.vlines(fds, y2, y1)

ax.xaxis.set_major_locator(dates.MinuteLocator())
ax.xaxis.set_major_formatter(hfmt)
ax.set_ylim(bottom = 0)
plt.xticks(rotation='vertical')
plt.subplots_adjust(bottom=.3)

plt.savefig('SerieTemporelle_VerticalLabel.png')
plt.show()

Encore un autre exemple de série temporelle avec matplotlib (source)

from matplotlib.dates import WeekdayLocator

def plot_series(x, y):
    fig, ax = plt.subplots()
    ax.plot_date(x, y, fmt='g--') # x = array of dates, y = array of numbers

    fig.autofmt_xdate()

    # For tickmarks and ticklabels every fourth week
    ax.xaxis.set_major_locator(WeekdayLocator(byweekday=MO, interval=4))

    # For tickmarks (no ticklabel) every week
    ax.xaxis.set_minor_locator(WeekdayLocator(byweekday=MO))

    # Grid for both major and minor ticks
    plt.grid(True, which='both')
    plt.show()

Recherches associées