MCTAL file

The complete API can be found at f4enix.output.meshtal.Mctal

All tallies are parsed and brought into a pandas dataframe format

# Import the mctal module
from f4enix.output.mctal import Mctal

# Parse the Mctal file
file = 'mctal'
mctal = Mctal(file)

# get a summary of the min and max errors across tallies
mctal.get_error_summary().sort_values(by='tally num')

/home/docs/checkouts/readthedocs.org/user_builds/f4enix/envs/stable/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
  from .autonotebook import tqdm as notebook_tqdm

	tally num	min rel error	max rel error
0	4	NaN	1.0000
22	6	0.0007	0.0272
19	14	NaN	1.0000
1	16	0.0008	0.0381
2	24	0.0009	0.0162
20	26	0.0010	0.0274
3	34	0.0009	0.0209
4	44	0.0010	0.0213
5	54	0.0011	0.0210
6	64	0.0010	0.0159
7	74	0.0010	0.0201
8	84	0.0011	0.0211
9	94	0.0010	0.0277
10	104	0.0035	0.0151
11	114	0.0053	0.0190
12	124	0.0050	0.0184
13	134	0.0075	0.0277
14	144	0.0015	0.0030
15	154	0.0014	0.0033
16	164	0.0014	0.0033
17	174	0.0133	0.0151
18	204	0.0009	0.0264
21	214	0.0009	0.0256

# Access the data of a specific tally (204 in this case)
mctal.tallydata[204]

	Cells	Value	Error
0	2	3367640.0	0.0264
1	3	4183630.0	0.0255
2	4	6022490.0	0.0242
3	5	9160960.0	0.0231
4	6	14496000.0	0.0219
...	...	...	...
92	101	1948950.0	0.0209
93	102	1197290.0	0.0219
94	103	709479.0	0.0230
95	104	390849.0	0.0244
96	105	161990.0	0.0251

97 rows × 3 columns