matplotlib.github.com/1.3.1/mpl_examples/api/date_demo.py at main · matplotlib/matplotlib.github.com · GitHub

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#!/usr/bin/env python

"""

Show how to make date plots in matplotlib using date tick locators and

formatters. See major_minor_demo1.py for more information on

controlling major and minor ticks

All matplotlib date plotting is done by converting date instances into

days since the 0001-01-01 UTC. The conversion, tick locating and

formatting is done behind the scenes so this is most transparent to

you. The dates module provides several converter functions date2num

and num2date

"""

import datetime

import numpy as np

import matplotlib.pyplot as plt

import matplotlib.dates as mdates

import matplotlib.cbook as cbook

years = mdates.YearLocator() # every year

months = mdates.MonthLocator() # every month

yearsFmt = mdates.DateFormatter('%Y')

# load a numpy record array from yahoo csv data with fields date,

# open, close, volume, adj_close from the mpl-data/example directory.

# The record array stores python datetime.date as an object array in

# the date column

datafile = cbook.get_sample_data('goog.npy')

r = np.load(datafile).view(np.recarray)

fig, ax = plt.subplots()

ax.plot(r.date, r.adj_close)

# format the ticks

ax.xaxis.set_major_locator(years)

ax.xaxis.set_major_formatter(yearsFmt)

ax.xaxis.set_minor_locator(months)

datemin = datetime.date(r.date.min().year, 1, 1)

datemax = datetime.date(r.date.max().year+1, 1, 1)

ax.set_xlim(datemin, datemax)

# format the coords message box

def price(x): return '$%1.2f'%x

ax.format_xdata = mdates.DateFormatter('%Y-%m-%d')

ax.format_ydata = price

ax.grid(True)

# rotates and right aligns the x labels, and moves the bottom of the

# axes up to make room for them

fig.autofmt_xdate()

plt.show()

matplotlib.github.com/1.3.1/mpl_examples/api/date_demo.py at main · matplotlib/matplotlib.github.com · GitHub

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