PyPulseHeatPipe 1.0.3

The data analysis Python package for the Pulsating Heat Pipe experimental data

PulseHeatPipe

PyPulseHeatPipe is a Python Library for data analysis and for data plotting/visualisation specifically for PHP experimental data.

pkg installation

pip install PyPulseHeatPipe

Useage:

imorting the module

from PyPulseHeatPipe import PulseHeatPipe

creating the reference variable

analysis = PulseHaatPipe("datapath", "sample_name")

for a class help

help(analysis)

for a function help

help(analysis.data_etl)

using a function from the class

df, df_conv = analysis.data_etl()

list of avilable functions

1. data_etl
2. gibbs_fe
3. data_chop
4. data_stat
5. data_property_avg
6. best_TP
7. plot_all_data
8. plot_Te_Tc
9. plot_eu

Example:

# importing module
from PyPulseHeatPipe import PulseHeatPipe
from PyPulseHeatPipe import DataVisualisation

analysis = PulseHeatPipe("datapaht", "sample_name")
visual = DataVisualisation("datapaht", "sample_name")

# calling help
help(analysis.data_etl)
help(visual.plot_all_data)

# using methods eg;
# for ETL
df, df_conv = analysis.data_etl()

# for visulisation of all thermal properties
visual.plot_all_data(df_gfe)

NOTE: The experimental data file must prepared in '.xlsx' formate. The data must contain atleast following columns with mentioned titles:

samle_data.xlsx format

't(min)'	'Tc[C]	'Te[C]'	'P[mmHg]'	'Q[W]'	alpha	beta	phase
1	30	35	700	80	90	0	2
---	---	---	---	---	---	---	---

here,

alpha = vertical angle of PHP

beta = horizontal angle of PHP

phase = phase split of the working fluid