PyPulseHeatPipe 1.0.6

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

# for pkg upgrade
pip install --upgrade PyPulseHeatPipe

Usage:

importing the module

from PyPulseHeatPipe import PulseHeatPipe

creating the reference variable

analysis = PulseHeatPipe("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()

to create blank file

analysis.blank_file()

list of available functions

0. blank_file
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' format. The data must contain at least following columns with mentioned titles:

samle_data.xlsx format

t(min)	Tc[C]	Te[C]	P[mmHg]	Q[W]	alpha	beta	pulse
1	30	35	700	80	90	0	2
---	---	---	---	---	---	---	---

here,

alpha = vertical angle of PHP

beta = horizontal angle of PHP

pulse = pulse generation in the working fluid (y=1/n=0)