[英]Matplotlib datetime from event coordinates
I'm sure this is a duplicate of some other question somewhere, but I'm not able to find any answer... so sorry for that, any link would also be apprechiated ;) 我确定这是某个地方的其他问题的重复,但我找不到任何答案...对此感到抱歉,任何链接也将被理解;)
I have the x-axis as datetime and would like to get the datetime where a click happened. 我将x轴设置为datetime,并希望获得单击发生的日期时间。 instead I get some coordinates which I do not understand.
相反,我得到了一些我不理解的坐标。 How do I convert these coordinates into a datetime (str)?
如何将这些坐标转换为日期时间(str)?
Consider the following example: 考虑以下示例:
import matplotlib.pyplot as plt
import pandas as pd
import datetime as dt
import mpldatacursor # pip install mpldatacursor
df = pd.DataFrame(index=[dt.datetime.now() + dt.timedelta(i) for i in range(20)],
data={'val1': [10/(i+1) for i in range(20)],
'val2': [5 * 2**(-i) for i in range(20)]})
fig, ax = plt.subplots()
df.plot(ax=ax)
# mpldatacursor opens a dragable yellow rectangle with the informations
# for that point. The kwargs `x` and `y` seem to be the coords.
def myformatter(**kwargs):
# For one dataset it worked specifying `unit='m'`, coincidence?
kwargs['x2'] = pd.to_datetime(kwargs['x']).strftime('%Y-%m-%d %H:%M:%S')
kwargs['x3'] = pd.to_datetime(kwargs['x'], unit='m').strftime('%Y-%m-%d %H:%M:%S')
kwargs['x4'] = pd.to_datetime(kwargs['x'], unit='h').strftime('%Y-%m-%d %H:%M:%S')
label = ('t: {x}\nt(ns): {x2}\nt(m): {x3}\nt(h): {x4}\ny: {y:.10}'.format(**kwargs))
return label
mpldatacursor.datacursor(axes=ax, formatter=myformatter,
bbox=dict(fc='yellow', alpha=0.75), draggable=True)
# To compare the coords.
def onclick(event):
print('data coords %f %f' % (event.xdata, event.ydata))
plt.connect('button_press_event', onclick)
plt.show()
You can click at the plot and it will open a yellow pop-up showing the informations of the selected point. 您可以单击该图,它会打开一个黄色弹出窗口,显示所选点的信息。 Moreover, the classical way to connect a function to matplotlib prints the current coordinates.
此外,将函数连接到matplotlib的经典方法会打印当前坐标。
Output:
data coords 736772.234764 1.623170
输出:
data coords 736772.234764 1.623170
Note: the displayed value t: 736772.230336
is almost the same as event.xdata (736772.234764)
in the connected function. 注意:显示的值
t: 736772.230336
与所连接函数中的event.xdata (736772.234764)
几乎相同。 I would assume, mpldatacursor
takes just the coordinates of the closest datapoint. 我认为,
mpldatacursor
仅采用最接近的数据点的坐标。
How do I convert that value into a string of the form '%Y-%m-%d %H:%M:%S'
? 如何将该值转换为
'%Y-%m-%d %H:%M:%S'
形式的字符串?
The units of the matplotlib plot are days since the year one (plus one day). matplotlib图的单位是从第一年起的天数(加上一日)。 As the documentation tells us:
如文档所示 :
Matplotlib represents dates using floating point numbers specifying the number of days since 0001-01-01 UTC, plus 1.
Matplotlib使用浮点数字表示日期,该数字指定从0001-01-01 UTC开始的天数加1。
For example, 0001-01-01, 06:00 is 1.25, not 0.25.例如,0001-01-01、06:00是1.25,而不是0.25。 Values < 1, ie dates before 0001-01-01 UTC are not supported.
不支持小于1的值,即0001-01-01 UTC之前的日期。
To convert this number to datetime
use matplotlib.dates.num2date()
. 要将这个数字转换为
datetime
使用matplotlib.dates.num2date()
。
d = 736772.230336
matplotlib.dates.num2date(d).strftime('%Y-%m-%d %H:%M:%S')
# '2018-03-19 05:31:41'
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