相关疑难解决方法(0)

当使用pandas的内置绘图功能绘制时间序列时,它似乎忽略了我的索引的时区:它始终使用x轴的UTC时间.一个例子:

import numpy as np
import matplotlib.pyplot as plt
from pandas import rolling_mean, DataFrame, date_range

rng = date_range('1/1/2011', periods=200, freq='S', tz="UTC")
data = DataFrame(np.random.randn(len(rng), 3), index=rng, columns=['A', 'B', 'C'])
data_cet = data.tz_convert("CET")

# plot with data in UTC timezone
fig, ax = plt.subplots()
data[["A", "B"]].plot(ax=ax, grid=True)
plt.show()

# plot with data in CET timezone, but the x-axis remains the same as above
fig, ax = plt.subplots()
data_cet[["A", "B"]].plot(ax=ax, grid=True)
plt.show()

情节不会改变,尽管指数有:

In [11]: data.index[0]
Out[11]: <Timestamp: 2011-01-01 00:00:00+0000 UTC, tz=UTC> …