Write python code for this prompt: Introduction

In this assessment you will implement a Python program to open and parse a formatted

data file, do some minor manipulation of the data, and finally plot that data in a pair of

graphs.

The Week $11$ jupyer notebook reading will be the most helpful if you feel like you are

missing something dealing with the pyplot module.

Problem

When drilling wells $($water$,$ oil, geothermal, natural gas, etc.$),$ a primary component of

the drilling process is the fluid circulating system. The drilling fluid, called $$mud$,$ serves

numerous functions: cooling, cleaning, and lubricating the drill$-$bit, transporting cuttings

$($small pieces of rock cut by the bit$)$ from downhole to the surface, and providing hydrostatic

pressure to prevent formation fluids from entering the wellbore, etc.

Figure $1$: Drilling fluid system. Figure source.

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A primary purpose of the drilling mud is to transmit downhole data to the surface through

pressure pulses. This process is called mud pulse telemetry. One of the most important

pieces of data transported to the surface is the Directional Survey data, which provides

the location of the bit, and is used to track the well$$s path through the Earth. Surveys are

taken often while drilling, with anywhere from $10-90$ ft between survey stations, and provide

information about the inclination and azimuth of the pipe $($that is$,$ the angles that represent

the direction of the pipe$).$

Imagine that several petroleum engineers have drilled a well, and have used mud pulse

telemetry to provide Directional Survey data for the well. Using this, they$$ve derived a csv

file with a series of $3$ dimensional points that represent locations along the pipe. They would

like to be able to visualize it by plotting $2$D images of both the vertical section and horizontal

section of the pipe.

The vertical section is the view of the well as if we were looking at a side view through

the Earth, facing directly north. We have TVD $($true vertical depth$)$ info on the y$-$axis of

our chart and the east$-$west cross section of the pipe on the x$-$axis of the chart. True vertical

depth is the distance below ground level $($z $=0)$ of the pipe.

The horizontal section is the view of the well as if we were looking at a top view, that

is$,$ if we were in a helicopter looking down onto the surface of the Earth with X$-$ray goggles

that allowed us to see the well through the ground. The y$-$axis for this chart should be our

distance North $($Northing$),$ and the x$-$axis should be the distance East $($Easting$)$ from the

coordinate $(0,0).$ This coordinate is an arbitrary point the petroleum engineers have defined

in relation to the pipe, and is what all their $3$ dimensional data is based off of$.$

Given a csv file containing $3$D points $($x$,$y$,$z$)$ plot the vertical and horizontal sections of

the pipe. The dimensions given will be in feet. The x$,$ y and z axis will be defined as follows:

$$ Positive x points East

$$ Positive y points North

$$ Positive z points vertically upwards

The name of each graph should be the name of the data file $($without the csv file extension$)$

followed by the type of graph $($horizontal section or vertical section$).$ For the horizontal

section, the axis titles should be $$Northing$,$ NS $($ft$)$ on the graph$$s y axis, and $$Easting$,$

EW $($ft$)$ on the graph$$s x axis. For the vertical section, the axis titles should be $$True

Vertical Depth $($ft$)$ on the graph$$s y axis, and $$East$-$West Crossection $($ft$)$ on the graph$$s

x axis. Some example plots are shown below:

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Figure $2$: Example horizontal section of a well.

Figure $3$: Example vertical section of a well.

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Plot Management

Plots with pyplot are handled a little differently than constructs we have seen in the

past. While plots are not stored in an accessible variable, changes to them are retained

unless explicitly cleared.

The plt$.$show$()$ function makes the current plot visible. It is very convenient for debug$-$

ging, but be sure not to use it in your final submission.

The plt$.$savefig$($filename$)$ function saves the current plot to the filename provided.

This function is what your program should use to generate the two graph image files re$-$

quested.

Pyplot is flexible enough to allow multiple plots to be saved and shown at once. In

our case though, this is an obstacle as we only want to generate one plot at a time. After

your first plot is created and saved, and before starting to generate another, you should use

plt$.$clf$()$ to clear the current plot. This ensures no elements if your first plot are retained

into the second.

Input

Three lines will be provided as user input:

$1.$ A path to an input csv file containing the survey data. This data file contains three

columns with one row of headers. Each row contains the x$,$ y$,$ and z coordinates, in

that order, represented by floats.

$2.$ A path to which you should save the horizontal section graph image.

$3.$ A path to which you should save the vertical section graph image.

Output

Your program will not produce any text output