使用 matplotlib 将 X 轴格式化为日期格式

Question

我编写了代码，绘制了用户确定的股票市场过去 7 天的股票价值随时间变化的情况。 我遇到的问题是我想将 x 轴格式化为 YYMMDD 格式。 我也不明白x轴末端的

2.014041e7

是什么意思。

x 的值为：

20140421.0, 20140417.0, 20140416.0, 20140415.0, 20140414.0, 20140411.0, 20140410.0

y 的值为：

531.17, 524.94, 519.01, 517.96, 521.68, 519.61, 523.48

我的代码如下：

mini = min(y)
maxi = max(y)
minimum = mini - 75
maximum = maxi + 75
mini2 = int(min(x))
maxi2 = int(max(x))

plt.close('all')
fig, ax = plt.subplots(1)
pylab.ylim([minimum,maximum])
pylab.xlim([mini2,maxi2])

ax.plot(x, y)
ax.plot(x, y,'ro')
ax.plot(x, m*x + c)
ax.grid()
ax.plot()

Answer 1

使用您的方法绘制数据时，您只需根据

y

中的数字（浮点数）绘制

x

数据，例如

20140421.0

（我假设您希望表示日期 21/04/2014）。

您需要将这些浮点数据转换为 matplotlib 能够理解的适当格式。下面的代码获取两个列表 (x, y) 并转换它们。

import numpy as np

import matplotlib.pyplot as plt
import matplotlib.dates as mdates

import datetime as dt

# Original data

raw_x = [20140421.0, 20140417.0, 20140416.0, 20140415.0, 20140414.0, 20140411.0, 20140410.0]
y = [531.17, 524.94, 519.01, 517.96, 521.68, 519.61, 523.48]

# Convert your x-data into an appropriate format.

# date_fmt is a string giving the correct format for your data. In this case
# we are using 'YYYYMMDD.0' as your dates are actually floats.
date_fmt = '%Y%m%d.0'

# Use a list comprehension to convert your dates into datetime objects.
# In the list comp. strptime is used to convert from a string to a datetime
# object.
dt_x = [dt.datetime.strptime(str(i), date_fmt) for i in raw_x]

# Finally we convert the datetime objects into the format used by matplotlib
# in plotting using matplotlib.dates.date2num
x = [mdates.date2num(i) for i in dt_x]

# Now to actually plot your data.
fig, ax = plt.subplots()

# Use plot_date rather than plot when dealing with time data.
ax.plot_date(x, y, 'bo-')

# Create a DateFormatter object which will format your tick labels properly.
# As given in your question I have chosen "YYMMDD"
date_formatter = mdates.DateFormatter('%y%m%d')

# Set the major tick formatter to use your date formatter.
ax.xaxis.set_major_formatter(date_formatter)

# This simply rotates the x-axis tick labels slightly so they fit nicely.
fig.autofmt_xdate()

plt.show()

代码自始至终都有注释，因此应该很容易解释。有关各个模块的详细信息可以在下面找到：

1. datetime

2. matplotlib.dates