问题描述
到目前为止,我绘制图形的代码如下:
iplt.plot(pressure_no1,color='black')
plt.xlabel('Time / hour of day')
plt.ylabel('Atmospheric pressure / kPa')
iplt.show()
这是一个 6 小时的立方体(虽然是二维的)数据集,有 420 个数据点。我只需要绘制数据点 hr=0,hr=1 hr=2,hr=3,hr=4,hr=5 并且一小时之间没有。
可以像下面这样工作吗?
pressure_no1_hrs = pressure_no1.coord('hour'==int).points
plt.plot(pressure_no1_hrs)
Image of graph with all data points and start of the time coordinates Image of last lot of time coordinates
解决方法
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
measures = np.random.normal(size=(360,))
timepoints = np.arange(start=0,stop=360)
df = pd.DataFrame({'measure': measures,'timepoint': timepoints})
is_hour = df.loc[:,'timepoint'] % 60 == 0 # <- Only select full hour
plt.plot(df.loc[is_hour,'measure'])
plt.xlabel("Time [min]")
plt.ylabel("Atmospheric pressure / kPa")
plt.show()
,
对于特定于 Iris 的解决方案,您可以使用 PartialDateTime:
import iris
import iris.quickplot as qplt
import numpy as np
import matplotlib.pyplot as plt
measures = np.random.normal(size=(360,stop=360)
cube = iris.cube.Cube(measures,long_name='atmospheric_pressure',units='kPa')
time_coord = iris.coords.DimCoord(
timepoints,units='minutes since 2020-07-01 00:00',standard_name='time')
cube.add_dim_coord(time_coord,0)
subcube = cube.extract(iris.Constraint(time=iris.time.PartialDateTime(minute=0)))
qplt.plot(cube,label='All data')
qplt.plot(subcube,label='Hourly data')
plt.legend()
plt.show()