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- Flexibility; HDF5 file has indexed structure, that means direct access to any data of any file from your code.
Pythonis a high-level scripting language allows to write transparent and compact code based on well-elaborated standard libraries.- In general, code in
Pythonworks slow comparing to C++, but there are libraries likeNumPywritten on C++, which solve this problem for manipulation with large arrays.
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Similar code plots the dataset as an image or histogram using the matplotlib library
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#!/usr/bin/env python
import h5py
import numpy as np
import matplotlib.pyplot as plt
def plotImage(arr) :
fig = plt.figure(figsize=(85,85), dpi=80, facecolor='w',edgecolor='w',frameon=True)
imAx = plt.imshow(arr, origin='lower', interpolation='nearest')
fig.colorbar(imAx, pad=0.01, fraction=0.1, shrink=1.00, aspect=20)
def plotHistogram(arr) :
fig = plt.figure(figsize=(5,5), dpi=80, facecolor='w',edgecolor='w',frameon=True)
plt.hist(arr.showflatten(), bins=100)
eventNumber = 5
file = h5py.File('/reg/d/psdm/XPP/xppcom10/hdf5/xppcom10-r0546.h5', 'r')
dataset = file['/Configure:0000/Run:0000/CalibCycle:0000/Camera::FrameV1/XppSb4Pim.1:Tm6740.1/image']
arr1ev = dataset[eventNumber]
plotImage(arr1ev)
plotHistogram(arr1ev)
plt.show()
file.close()
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Example 2: Extract and print the time variables
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