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"""This example shows how to browse the object tree and enlarge tables.
Before to run this program you need to execute first tutorial1-1.py
that create the tutorial1.h5 file needed here.
"""
import tables as tb
print()
print("-**-**-**-**- open the previous tutorial file -**-**-**-**-**-")
# Reopen the file in append mode
h5file = tb.open_file("tutorial1.h5", "a")
# Print the object tree created from this filename
print("Object tree from filename:", h5file.filename)
print(h5file)
print()
print("-**-**-**-**-**-**- traverse tree methods -**-**-**-**-**-**-**-")
# List all the nodes (Group and Leaf objects) on tree
print(h5file)
# List all the nodes (using File iterator) on tree
print("Nodes in file:")
for node in h5file:
print(node)
print()
# Now, only list all the groups on tree
print("Groups in file:")
for group in h5file.walk_groups():
print(group)
print()
# List only the arrays hanging from /
print("Arrays in file (I):")
for group in h5file.walk_groups("/"):
for array in h5file.list_nodes(group, classname="Array"):
print(array)
# This do the same result
print("Arrays in file (II):")
for array in h5file.walk_nodes("/", "Array"):
print(array)
print()
# And finally, list only leafs on /detector group (there should be one!)
print("Leafs in group '/detector' (I):")
for leaf in h5file.list_nodes("/detector", "Leaf"):
print(leaf)
# Other way using iterators and natural naming
print("Leafs in group '/detector' (II):")
for leaf in h5file.root.detector._f_walknodes("Leaf"):
print(leaf)
print()
print("-**-**-**-**-**-**- setting/getting object attributes -**-**--**-**-")
# Get a pointer to '/detector/readout' node
table = h5file.root.detector.readout
# Attach it a string (date) attribute
table.attrs.gath_date = "Wed, 06/12/2003 18:33"
# Attach a floating point attribute
table.attrs.temperature = 18.4
table.attrs.temp_scale = "Celsius"
# Get a pointer to '/detector' node
detector = h5file.root.detector
# Attach a general object to the parent (/detector) group
detector._v_attrs.stuff = [5, (2.3, 4.5), "Integer and tuple"]
# Now, get the attributes
print("gath_date attribute of /detector/readout:", table.attrs.gath_date)
print("temperature attribute of /detector/readout:", table.attrs.temperature)
print("temp_scale attribute of /detector/readout:", table.attrs.temp_scale)
print("stuff attribute in /detector:", detector._v_attrs.stuff)
print()
# Delete permanently the attribute gath_date of /detector/readout
print("Deleting /detector/readout gath_date attribute")
del table.attrs.gath_date
# Print a representation of all attributes in /detector/table
print("AttributeSet instance in /detector/table:", repr(table.attrs))
# Get the (user) attributes of /detector/table
print("List of user attributes in /detector/table:", table.attrs._f_list())
# Get the (sys) attributes of /detector/table
print(
"List of user attributes in /detector/table:", table.attrs._f_list("sys")
)
print()
# Rename an attribute
print("renaming 'temp_scale' attribute to 'tempScale'")
table.attrs._f_rename("temp_scale", "tempScale")
print(table.attrs._f_list())
# Try to rename a system attribute:
try:
table.attrs._f_rename("VERSION", "version")
except Exception:
print("You can not rename a VERSION attribute: it is read only!.")
print()
print("-**-**-**-**-**-**- getting object metadata -**-**-**-**-**-**-")
# Get a pointer to '/detector/readout' data
table = h5file.root.detector.readout
# Get metadata from table
print("Object:", table)
print("Table name:", table.name)
print("Table title:", table.title)
print("Number of rows in table:", table.nrows)
print("Table variable names with their type and shape:")
for name in table.colnames:
print(
name,
f":= {table.coldtypes[name]}, {table.coldtypes[name].shape}",
)
print()
# Get the object in "/columns pressure"
pressure_object = h5file.get_node("/columns", "pressure")
# Get some metadata on this object
print("Info on the object:", repr(pressure_object))
print(" shape: ==>", pressure_object.shape)
print(" title: ==>", pressure_object.title)
print(" atom: ==>", pressure_object.atom)
print()
print("-**-**-**-**-**- reading actual data from arrays -**-**-**-**-**-**-")
# Read the 'pressure' actual data
pressure_array = pressure_object.read()
print(repr(pressure_array))
# Check the kind of object we have created (it should be a numpy array)
print("pressureArray is an object of type:", type(pressure_array))
# Read the 'name' Array actual data
name_array = h5file.root.columns.name.read()
# Check the kind of object we have created (it should be a numpy array)
print("nameArray is an object of type:", type(name_array))
print()
# Print the data for both arrays
print("Data on arrays nameArray and pressureArray:")
for i in range(pressure_object.shape[0]):
print(name_array[i], "-->", pressure_array[i])
print()
print("-**-**-**-**-**- reading actual data from tables -**-**-**-**-**-**-")
# Create a shortcut to table object
table = h5file.root.detector.readout
# Read the 'energy' column of '/detector/readout'
print("Column 'energy' of '/detector/readout':\n", table.cols.energy)
print()
# Read the 3rd row of '/detector/readout'
print("Third row of '/detector/readout':\n", table[2])
print()
# Read the rows from 3 to 9 of row of '/detector/readout'
print("Rows from 3 to 9 of '/detector/readout':\n", table[2:9])
print()
print("-**-**-**-**- append records to existing table -**-**-**-**-**-")
# Get the object row from table
table = h5file.root.detector.readout
particle = table.row
# Append 5 new particles to table
for i in range(10, 15):
particle["name"] = "Particle: %6d" % (i)
particle["TDCcount"] = i % 256
particle["ADCcount"] = (i * 256) % (1 << 16)
particle["grid_i"] = i
particle["grid_j"] = 10 - i
particle["pressure"] = float(i * i)
particle["energy"] = float(particle["pressure"] ** 4)
particle["idnumber"] = i * (2**34) # This exceeds long integer range
particle.append()
# Flush this table
table.flush()
# Print the data using the table iterator:
for r in table:
print(
"%-16s | %11.1f | %11.4g | %6d | %6d | %8d |"
% (
r["name"],
r["pressure"],
r["energy"],
r["grid_i"],
r["grid_j"],
r["TDCcount"],
)
)
print()
print("Total number of entries in resulting table:", table.nrows)
print()
print("-**-**-**-**- modify records of a table -**-**-**-**-**-")
# Single cells
print("First row of readout table.")
print("Before modif-->", table[0])
table.cols.TDCcount[0] = 1
print("After modifying first row of TDCcount-->", table[0])
table.cols.energy[0] = 2
print("After modifying first row of energy-->", table[0])
# Column slices
table.cols.TDCcount[2:5] = [2, 3, 4]
print("After modifying slice [2:5] of ADCcount-->", table[0:5])
table.cols.energy[1:9:3] = [2, 3, 4]
print("After modifying slice [1:9:3] of energy-->", table[0:9])
# Modifying complete Rows
table.modify_rows(
start=1,
step=3,
rows=[
(1, 2, 3.0, 4, 5, 6, "Particle: None", 8.0),
(2, 4, 6.0, 8, 10, 12, "Particle: None*2", 16.0),
],
)
print("After modifying the complete third row-->", table[0:5])
# Modifying columns inside table iterators
for row in table.where("TDCcount <= 2"):
row["energy"] = row["TDCcount"] * 2
row.update()
print("After modifying energy column (where TDCcount <=2)-->", table[0:4])
print()
print("-**-**-**-**- modify elements of an array -**-**-**-**-**-")
print("pressure array")
pressure_object = h5file.root.columns.pressure
print("Before modif-->", pressure_object[:])
pressure_object[0] = 2
print("First modif-->", pressure_object[:])
pressure_object[1:3] = [2.1, 3.5]
print("Second modif-->", pressure_object[:])
pressure_object[::2] = [1, 2]
print("Third modif-->", pressure_object[:])
print("name array")
name_object = h5file.root.columns.name
print("Before modif-->", name_object[:])
name_object[0] = ["Particle: None"]
print("First modif-->", name_object[:])
name_object[1:3] = ["Particle: 0", "Particle: 1"]
print("Second modif-->", name_object[:])
name_object[::2] = ["Particle: -3", "Particle: -5"]
print("Third modif-->", name_object[:])
print()
print("-**-**-**-**- remove records from a table -**-**-**-**-**-")
# Delete some rows on the Table (yes, rows can be removed!)
table.remove_rows(5, 10)
# Print some table columns, for comparison with array data
print("Some columns in final table:")
print()
# Print the headers
print(
"%-16s | %11s | %11s | %6s | %6s | %8s |"
% ("name", "pressure", "energy", "grid_i", "grid_j", "TDCcount")
)
print(
"%-16s + %11s + %11s + %6s + %6s + %8s +"
% ("-" * 16, "-" * 11, "-" * 11, "-" * 6, "-" * 6, "-" * 8)
)
# Print the data using the table iterator:
for r in table.iterrows():
print(
"%-16s | %11.1f | %11.4g | %6d | %6d | %8d |"
% (
r["name"],
r["pressure"],
r["energy"],
r["grid_i"],
r["grid_j"],
r["TDCcount"],
)
)
print()
print("Total number of entries in final table:", table.nrows)
# Close the file
h5file.close()
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