rstoolbox.plot.plot_thermal_melt¶

rstoolbox.plot.plot_thermal_melt(df, ax, linecolor=0, pointcolor=0, min_temperature=None, fusion_temperature=False, temp_marker=False)¶

Plot Thermal Melt data.

Plot thermal melt and generate the fitting curve to the pointsself.

The provied DataFrame must contain, at least, the following columns:

Column Name	Data Content
Temp	Temperatures (celsius).
MRE	Value at each temperature (10 deg^2 cm^2 dmol^-1).

Warning

Some of the advanced attributes in this function require scipy to be installed.

Parameters:

df (DataFrame) – Data container. ax (Axes) – Axis in which to plot the data. linecolor (Union[int, str]) – Color for the fitting line. If a number, it takes from the current seaborn palette. pointcolor (Union[int, str]) – Color for the points. If a number, it takes from the current seaborn palette. min_temperature (float) – If provided, set minimum temperature in the Y axis of the plot. fusion_temperature (bool) – When True, calculates the fusion temperature when possible. Requires ``scipy`` library. temp_marker (bool) – When True, approximate and annotate the expected melting point. requires ``scipy`` library.

Example

In [1]: from rstoolbox.plot import plot_thermal_melt
   ...: import numpy as np
   ...: import pandas as pd
   ...: import matplotlib.pyplot as plt
   ...: df = pd.read_csv("../rstoolbox/tests/data/thermal_melt.csv")
   ...: fig = plt.figure(figsize=(10, 6.7))
   ...: ax = plt.subplot2grid((1, 1), (0, 0))
   ...: plot_thermal_melt(df, ax, fusion_temperature=True, temp_marker=True)
   ...: 

In [2]: plt.show()

In [3]: plt.close()