micress-micpy 0.2.13b4

MicPy is a Python package to facilitate MICRESS workflows.

MicPy

MicPy is a Python package to facilitate MICRESS workflows. Whether you aim to visualize, convert, or manipulate MICRESS data, MicPy provides the necessary tools.

Installation

pip install micress-micpy

Dependencies

MicPy requires the following dependencies:

• Python (>= 3.9)
• Pandas (>= 1.1)
• Matplotlib (>= 3) as an optional dependency for plotting

Examples

Below are some examples demonstrating how to use MicPy.

bin module

Read one field at a time

from micpy import bin

for field in bin.File("A001_Delta_Gamma.conc1"):
    print(field)

Read all fields

from micpy import bin

with bin.File("A001_Delta_Gamma.conc1") as file:
    fields = file.read()

print(fields)

Read a subset of fields providing a list of indices

from micpy import bin

with bin.File("A001_Delta_Gamma.conc1") as file:
    fields = file.read([0, 1, -2, -1])

print(fields)

Read a subset of fields providing a condition function

from micpy import bin

with bin.File("A001_Delta_Gamma.conc1") as file:
    fields = file.read(lambda field: field.time >= 10 and field.time <= 20)

print(fields)

Read fields opening and closing the file manually

from micpy import bin

file = bin.File("A001_Delta_Gamma.conc1")

file.open()

first_field = file.read(0)
second_field = file.read(1)

file.close()

print(first_field, second_field)

Plot a field

from micpy import bin

with bin.File("A001_Delta_Gamma.conc1") as file:
    field = file[-1]

fig, ax = field.plot()

Plot a list of fields normalizing the data

from micpy import bin

with bin.File("A001_Delta_Gamma.conc1") as file:
    fields = file[[0, 1, -2, -1]]

fig, ax = fields.plot(normalize=True, figsize=(8, 8))

Plot a specific plane of a field

from micpy import bin

with bin.File("A005_Grain_Growth_Misorientation_3D.korn") as file:
    field = file[0]

fig, ax = field.plot(plane="xy", slice=50)

tab module

Read a table

from micpy import tab

table = tab.read("A001_Delta_Gamma.TabF")

Plot a table

from micpy import tab

table = tab.read("A001_Delta_Gamma.TabF")

fig, ax = table.plot(x=1, y=[2, 3, 4])

Extract a subset of a table

from micpy import tab

table = tab.read("A001_Delta_Gamma.TabF")

table.loc[
    table["Fraction Phase 2 FCC_A1"] > 0,
    ["Temperature [K]", "Fraction Phase 1 BCC_A2", "Fraction Phase 2 FCC_A1"]
]

Convert a table to different file formats

from micpy import tab

table = tab.read("A001_Delta_Gamma.TabF")

table.to_csv("A001_Delta_Gamma.TabF.csv")
table.to_excel("A001_Delta_Gamma.TabF.xlsx")
table.to_json("A001_Delta_Gamma.TabF.json")