Question

我有一个日期时间系列（称为日期），如下所示：

0     2012-06-26
1     2011-02-22
2     2012-06-06
3     2013-02-10
4     2004-01-01
5     2011-01-25
6     2015-11-02

我想在X轴上分散Y轴和月和年的日期。

我玩过pyplot.plot_date，但无法找出任何解决方案。

它只有this，只有Y轴上的日期。

有什么建议吗？

Answer 1

看看matplotlib，它真的很有用。这也可以帮助您开始绘图。

    dates = [
    '2012-06-26',
    '2011-02-22',
    '2012-06-06',
    '2013-02-10',
    '2004-01-01',
    '2011-01-25',
    '2015-11-02',
]

year = []
month = []
day = []


# Sorts your data in an useable dataset
def sort_data():
    for i in range(len(dates)):
        extracted_year = dates[i][0:4]
        extracted_year = int(extracted_year)
        year.append(extracted_year)
    for j in range(len(dates)):
        extracted_month = dates[j][5:7]
        extracted_month = int(extracted_month)
        month.append(extracted_month)
    for k in range(len(dates)):
        extracted_day = dates[k][8:10]
        extracted_day = int(extracted_day)
        day.append(extracted_day)

sort_data()

# Just checking if sort_date() worked correctly
print(year)
print(month)
print(day)

Answer 2

到目前为止，我最好的解决方案是将年份和月份转换为浮点数，将天数转换为int：

from matplotlib import pyplot
dates = [
 '2012-06-26',
 '2011-02-22',
 '2012-06-06',
 '2013-02-10',
 '2004-01-01',
 '2011-01-25',
 '2015-11-02',]

fig, ax = pyplot.subplots()
ax.scatter(date.apply(lambda x: float(x.strftime('%Y.%m'))),date.apply(lambda x: x.day), marker='o')

Answer 3

由于您的问题并不完全清楚，我假设您要分散最旧和最近年份之间所有输入日期时间条目的绘图（仅从给定输入中选择）。

此外，这是我第一次尝试＆＃34; matplotlib＆＃34;图书馆。所以，我希望以下答案会引导您达到预期的结果。

import datetime
import numpy
import matplotlib.pyplot as plt
from matplotlib.dates import MONDAY
from matplotlib.dates import DateFormatter, MonthLocator, WeekdayLocator
from matplotlib.dates import date2num

# Input datetime series.
dt_series = ["2012-06-26", "2011-02-22", "2012-06-06", "2013-02-10", "2004-01-01", "2011-01-25", "2015-11-02"]

mondays = WeekdayLocator(MONDAY)
months = MonthLocator(range(1, 13), bymonthday=1, interval=6)
monthsFmt = DateFormatter("%b'%y")

# Loop to create our own X-axis and Y-axis values.
# mths is for X-axis values, which are months along with year.
# dates is for Y-axis values, which are dates.
mths = list()
dates = list()
for dt in dt_series:
    mths.append(date2num(datetime.datetime.strptime(dt.replace('-', ''), "%Y%m%d")))
    dates.append(numpy.float64(float(dt.split('-')[2])))

fig, ax = plt.subplots(squeeze=True)
ax.plot_date(mths, dates, 'o', tz=None, xdate=True, ydate=False)
ax.xaxis.set_major_locator(months)
ax.xaxis.set_major_formatter(monthsFmt)
ax.xaxis.set_minor_locator(mondays)
ax.autoscale_view()
ax.grid(True)

fig.autofmt_xdate()

plt.show()

我还建议您浏览一下我用作参考的链接： http://matplotlib.org/examples/pylab_examples/date_demo2.html

谢谢

X轴上的年份和月份以及Y轴上的天数

3 个答案: