使用 Matplotlib 绘制时间戳(小时/分钟/秒)

Plotting timestamps (hour/minute/seconds) with Matplotlib(使用 Matplotlib 绘制时间戳(小时/分钟/秒))

问题描述

我想绘制一些时间戳(年-月-日时-分-秒格式).我正在使用以下代码，但它没有显示任何小时-分钟-秒信息，它将它们显示为 00-00-00.我仔细检查了我的日期数组，从下面的代码片段可以看出，它们不为零.

I want to plot some timestamps (Year-month-day Hour-Minute-Second format). I am using the following code, however it doesn't show any hour-minute-second information, it shows them as 00-00-00. I double checked my date array, and as you can see from the snippet below, they are not zero.

你知道我为什么会得到 00-00-00 的任何想法吗?

Do you have any idea about why I am getting 00-00-00's?

import matplotlib.pyplot as plt
import matplotlib.dates as md
import dateutil

dates = [dateutil.parser.parse(s) for s in datestrings]
# datestrings = ['2012-02-21 11:28:17.980000', '2012-02-21 12:15:32.453000', '2012-02-21 23:26:23.734000', '2012-02-26 17:42:15.804000']
plt.subplots_adjust(bottom=0.2)
plt.xticks( rotation= 80 )
ax=plt.gca()
xfmt = md.DateFormatter('%Y-%m-%d %H:%M:%S')
ax.xaxis.set_major_formatter(xfmt)
plt.plot(dates[0:10],plt_data[0:10], "o-")
plt.show()

推荐答案

尝试放大图表，您会看到日期时间随着 x 轴比例的变化而扩大.

Try zooming in on your graph, you will see the datetimes expand as your x axis scale changes.

在 matplotlib 中绘制 unix 时间戳

在尝试绘制染色体上正选择的热图时，我遇到了类似的烦人问题.如果我缩小得太远，事情就会完全消失！

I had a similarly annoying problem when trying to plot heatmaps of positive selection on chromosomes. If I zoomed out too far things would disappear entirely!

此代码完全按照您提供的日期绘制日期，但不会在两者之间添加刻度.

edit: This code plots your dates exactly as you give them, but doesn't add ticks in between.

import matplotlib.pyplot as plt
import matplotlib.dates as md
import dateutil

datestrings = ['2012-02-21 11:28:17.980000', '2012-02-21 12:15:32.453000', '2012-02-21 23:26:23.734000', '2012-02-26 17:42:15.804000']
dates = [dateutil.parser.parse(s) for s in datestrings]

plt_data = range(5,9)
plt.subplots_adjust(bottom=0.2)
plt.xticks( rotation=25 )

ax=plt.gca()
ax.set_xticks(dates)

xfmt = md.DateFormatter('%Y-%m-%d %H:%M:%S')
ax.xaxis.set_major_formatter(xfmt)
plt.plot(dates,plt_data, "o-")
plt.show()

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