从HH：MM：SS到HH：SS重新格式化matplotlib x轴

Question

我每天都有数据点：

import numpy as np
data = np.random.random(1440,)

# I can represent minutes as integers:

mins = np.arange(1440,dtype=np.int)

# convert to datetime

import datetime
times=np.array([datetime.datetime(2014, 5, 13, int(p/60), p%60) for p in mins])

# and plot for every 20 samples:

import matplotlib.pyplot as plt
plt.plot(times[1::20], data[1::20])

给我：

如何将x轴格式更改为HH：MM？

我尝试使用datetime.time()函数代替datetime.datetime()，但这会导致错误。

Answer 1

您可以使用custom tick formatter中的dates package来根据需要呈现日期。

扩展您的代码示例：

import numpy as np
import datetime
import matplotlib.pyplot as plt
from matplotlib import dates

data = np.random.random(1440,)
# I can represent minutes as integers:
mins = np.arange(1440,dtype=np.int)
# convert to datetime
times=np.array([datetime.datetime(2014, 5, 13, int(p/60), p%60) for p in mins])
# and plot for every 20 samples:
plt.plot(times[1::20], data[1::20])

# generate a formatter, using the fields required
fmtr = dates.DateFormatter("%H:%M")
# need a handle to the current axes to manipulate it
ax = plt.gca()
# set this formatter to the axis
ax.xaxis.set_major_formatter(fmtr)

plt.show()

格式字符串根据strftime docs定义。