ThermoPyle.CSVFluid¶

class ThermoPyle.CSVFluid(pathToFile)[source]¶

A class that will help work with ThermoFluid data contained in CSV/JSON files.

Parameters:	pathToFile (str) – The name of the files you want to use, NOT the path. Must have both a json and a CSV file for this purpose.

data¶

The data as read by pandas for the given fluid

Type:	pandas.DataFrame

columns¶

What variable is on the y-axis

Type:	List[Text]

zvar¶

What variable is on the z-axis, also, what variable is generated by CoolProp

Type:	str

colorMap¶

What ColorMap Matplotlib uses to make its plot

Type:	str

vars¶

a list of xvar, yvar, zvar

Type:	List[Text]

fluid¶

What fluid is being modeled

Type:	str

units¶

the units for xvar, yvar, zvar, in that order.

Type:	List[Text]

numPoints¶

the x-resolution and y-resolution, in that order.

Type:	List[int]

M¶

the molar mass of the fluid for the system.

Type:	float

meta¶

a PMap containing metadata related to the current fluid.

Type:	pyrsistent._pmap.PMap

add_column(variables)[source]¶

Adds a column to the dataframe

Paramaters:

variable (Union[List[Text],Text]): What variable(s) to add

Return type:	None

changeOrder(order)[source]¶

Changes order of the columns:

Parameters:	order (List[Text]) – is a permutation of length 3 on vars.
Return type:	None

copy()[source]¶

Returns a copy of itself

Return type:	~CSVFluid

make_meta()[source]¶

(Re)make the metadata object

Return type:	None

make_units()[source]¶

(Re)make the units list

Return type:	None

refresh()[source]¶

Refreshes the object, remakes meta, cleans data, remakes units.

Return type:	None

write_data(path='./data/', filename='', mode='default')[source]¶

Does what it says on the tin. Makes a CSV and JSON files and saves them to path given.

Parameters:	path (str) – path where file should be saved filename (str) – what to name the file mode (str) – How to name the file: - default: FluidName_X-xpoints_Y-ypoints_Z; - custom: fully custom name; - dual: default + custom.
Return type:	None