T Plot Method
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The t-plot method is a well-known technique which allows determining the micro- and/or mesoporous volumes and the specific surface area of a sample by comparison with a reference adsorption isotherm of a nonporous material having the same surface chemistry. A comparison plot should be used to display the data from the comparison of methods experiment (plotting the comparison method value on the x-axis and the test method value on the y-axis). This plot is then used to visually inspect the data to identify possible outliers and to assess the range of linear agreement 1. AWM's Adsorption page - t-plot This method of isotherm data analysis was introduced by de Boer. It assumes, that in a certain isotherm region, the micropres are already filled-up, whereas the adsorption in larger pores occurs according to some simple equation, characteristic for a large class of solids. Once you have made your plot, you need to tell matplotlib to show it. The usual way to do things is to import matplotlib.pyplot and call show from there: import numpy as np import pandas as pd import matplotlib.pyplot as plt ts = pd.Series (np.random.randn (1000), index=pd.daterange ('1/1/2000', periods=1000)) ts.plot plt.show.
A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally.
A bar graph shows comparisons among discrete categories. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value.
Matplotlib API provides the bar() function that can be used in the MATLAB style use as well as object oriented API. The signature of bar() function to be used with axes object is as follows −
The function makes a bar plot with the bound rectangle of size (x −width = 2; x + width=2; bottom; bottom + height).
The parameters to the function are −
| x | sequence of scalars representing the x coordinates of the bars. align controls if x is the bar center (default) or left edge. |
| height | scalar or sequence of scalars representing the height(s) of the bars. |
| width | scalar or array-like, optional. the width(s) of the bars default 0.8 |
| bottom | scalar or array-like, optional. the y coordinate(s) of the bars default None. |
| align | {‘center’, ‘edge’}, optional, default ‘center’ |
The function returns a Matplotlib container object with all bars.
Following is a simple example of the Matplotlib bar plot. It shows the number of students enrolled for various courses offered at an institute.
When comparing several quantities and when changing one variable, we might want a bar chart where we have bars of one color for one quantity value.
T Plot Method
We can plot multiple bar charts by playing with the thickness and the positions of the bars. The data variable contains three series of four values. The following script will show three bar charts of four bars. The bars will have a thickness of 0.25 units. Each bar chart will be shifted 0.25 units from the previous one. The data object is a multidict containing number of students passed in three branches of an engineering college over the last four years.
T-plot Method Wiki
The stacked bar chart stacks bars that represent different groups on top of each other. The height of the resulting bar shows the combined result of the groups.
Matplotlib Plot Method
The optional bottom parameter of the pyplot.bar() function allows you to specify a starting value for a bar. Instead of running from zero to a value, it will go from the bottom to the value. The first call to pyplot.bar() plots the blue bars. The second call to pyplot.bar() plots the red bars, with the bottom of the blue bars being at the top of the red bars.