在x轴上具有日期的子图

时间:2011-11-04 14:15:19

标签: python matplotlib

我在使用x轴上有多个日期的多个子图时遇到了麻烦。

我正在使用here中的matplotlib示例。我已将其修改为包含另一个子图(绘制的数据相同)。这就是我得到的输出:

enter image description here

刻度线仅出现在第二个子图上。为什么?如何让它们出现在两个子图上?

这是我修改后的来源。我添加了代码,在源代码中途的if块中包含一个新的子图。

#!/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
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.mlab as mlab
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')
datafile = 'goog.npy'
r = np.load(datafile).view(np.recarray)

fig = plt.figure()
ax = fig.add_subplot(211)
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)

second = True
if second:
    years    = mdates.YearLocator()   # every year
    months   = mdates.MonthLocator()  # every month
    yearsFmt = mdates.DateFormatter('%Y')

    ax = fig.add_subplot(212)
    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
    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()

1 个答案:

答案 0 :(得分:11)

我找到了罪魁祸首。这是autofmt_xdate功能:

  

日期刻度标签经常重叠,因此旋转它们并右对齐它们很有用。此外,常见的用例是具有共享xax的多个子图,其中x轴是日期数据。刻度标签通常很长,它有助于在底部子图上旋转它们并在其他子图上关闭它们,以及关闭xlabels。

它是一个"功能"。您可以通过在每个子图之后插入此代码来实现相同的效果:

plt.xticks(rotation=30)