---
tags: gps
---

# 2022-GPS-Data-Skills-Course-Python
f

Course infomration in Canvasf

Syllabus: https://ucsdlib.github.io/win2022-gps-python/

Software Installation:
https://www.anaconda.com/products/individual

## Collaborative Notes:

Please sign in here: Hong E
g E E E E E E E E E E E E E E
yaohong wang, [e-mail]
qihan huang, [e-mail]
Himanshu Pykurel, [e-mail]
yuting wan, [e-mail]
Zizan Wang, [e-mail]
Yilin Che, [e-mail]
Yizhuo Liu, [e-mail]
Dahlia Lopez [e-mail]

### First Name, last name, email
Jaeyeon, Park, [e-mail]
Yunxin Liu, [e-mail]
Nikki Qi, [e-mail]
shivangi, gupta, [e-mail]
Himanshu, Pykurel, [e-mail]
Jiayi Hao, [e-mail]
Hung-Yang (Jason), Chien [e-mail]
Reid Otsuji [e-mail]
Collin Boudreaux [e-mail]
Erika Gastelum, [e-mail]
Michael Berman [e-mail]
Stella Lin [e-mail]
Wenjun Gong [e-mail]
Troy Tuquero [e-mail]
Jasmine Moheb [e-mail]
Himanshu, Pykurel, [e-mail]
Yu Shi, [e-mail]
Stevinson, Tendon, [e-mail]
Hong En Jonas, Lim, [e-mail]
Tirado, Tino, [e-mail]
Mariya, Nikseresht, [e-mail]
Woojong, Kim, [e-mail]
Alayna, Bone, [e-mail]
Salma Shaikh, [e-mail]
Morgan Cohen [e-mail]
PeterLLLLLLLLLLL Wilborn, [e-mail]
Anna Kraemer [e-mail]
Emily Irion, [e-mail]
Chuyu, Liu, [e-mail]
Li Jiang,[e-mail]
Kwadwo Asiedu [e-mail]
Isai Hernandez [e-mail]
Austin Brown [e-mail]
Chengan, Li, [e-mail]
Nicholas Valle [e-mail]
Lisa Howard, [e-mail]
TsuPing, Wang, [e-mail]
Ziyuan Zhu, [e-mail]
Yizhuo Liu, [e-mail]
| Column 1 | Column 2 | Column 3 |
| -------- | -------- | -------- |
| Text | Text | Text |
Youhyun, Kang, [e-mail]
Bonnie Devenney, [e-mail]
Adrian Rodriguez Valdez, [e-mail]
Sihan Chen, [e-mail]
Kevin Zhou, [e-mail]
David Reimer, [e-mail]
May Han, [e-mail]
Rebecca Howard, [e-mail]
Emily Davalos, [e-mail]
Yuting Wan, [e-mail]
Ernesto Castañeda, [e-mail]
Dan-bee lee, [e-mail]
Valentina Chanci Arrubla, [e-mail]
Katy Norris, [e-mail]
Meghan Mattioli, [e-mail]
Zhibei Wang, [e-mail]
Daniela, Hall Lagunes, [e-mail]
Nick Heimann, [e-mail]
Poonam Narewatt, [e-mail]
Sam Cohen, [e-mail]
Kelli, Maples, [e-mail]
Vanessa, Ramos-Madrid, [e-mail]
Hanya Jiang [e-mail]
Sora Park [e-mail]
Brrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr
Sheerine Karamzadeh, [e-mail]
Broderick Topil, [e-mail]
Sultan Alomari, [e-mail]
Yue Yu, [e-mail]
yuting wan,[e-mail]
Mackenna, Rawlins, [e-mail]
Meiyu Su, [e-mail]
Jared Hernandez [e-mail]
Lisa Howard, [e-mail]
Zhengbo Zhang, [e-mail]
Zizan Wang, [e-mail]
Katie Simonian, [e-mail]
Patricia Resurreccion, [e-mail]
Yuki Imura, [e-mail]
TungCheh(Maxwell)Chien [e-mail]
Jeffrey, Myers, [e-mail]
shivangi gupta, [e-mail]
Yelaine Wang [e-mail]
John Kim jok015@ucsd
Nicholas Valle [e-mail]
Vorathip Plengpanit [e-mail]
Ziyuan Zhu, [e-mail]
Chengan, Li, [e-mail]
Delana Du, [e-mail]
Sunny Xu, [e-mail]
Tomoyuki Aoki, [e-mail]
Kejun Chen, [e-mail]
Ayano Kano, [e-mail]
Elisabeth Earley, [e-mail]
Tsu Ping Wang, [e-mail]
Elizabeth Muthoni,[e-mail]
Yimeng Yang, [e-mail]
Xinyi Du [e-mail]
Chuan Xu，[e-mail]
Haoran Jiang [e-mail]
Elise Spencer, [e-mail]
Juliane Alfen, [e-mail]
Jo Kim, [e-mail]
Chenhao Nie. [e-mail]
Bowen Deng [e-mail]

Hyun Ji Jung, [e-mail]
Hyejin Jung, [e-mail]
Yishu Tang, [e-mail]
Sam Cohen, [e-mail]
Shuting Wang, [e-mail]
Bing Rethy, brethy@ucsd
Yilin, Che, [e-mail]
Jinwei XU [e-mail]
Jaeyeon,assssssssssssss Park, [e-mail]
Mattioli, Meghan, [e-mail]
Yizhuo Liu, [e-mail]
Poonam Narewatt, [e-mail]
Yixiao, Huang, [e-mail]
Haoran, Jiang [e-mail]
Hyejin Jung [e-mail]
Elise Spencer, [e-mail]
Emerson Tsui(Xu), shx007@ucsd.
Yuting Wan, [e-mail]
# NOTES:

Jupyterlab will be used for the lessons

[m] Markdown cell = notes
[#]also works in code cell for notes
[b] = add cell below [a] is above
[r]Raw cells cannot have text edits

https://www.markdownguide.org/getting-started/

https://www.markdownguide.org/basic-syntax/

Python

variable #assigned name for a value
variable names are case sensitive

print() #use to display the value

anything with letters is a string and needs quotation marks

use # to make code comments
e.g.

car1 = 'Toyota'  #this is a code comment

car1= 'Kia'
car2= 'Honda'
print(car2)

Challenge:
Assign the variable named color1 to the value red and color2 to the value blue and print - red is not blue. Write as code.

color1='red'
color2='blue'
print(color1,'is not',color2)

Variables can be used as caluculations

age1 = 32
age2 = age1 + 3
print('age in three years:', age2)

calculations

12 * 23 * 450

# Lecture 2

Please sign in
Yaohong Wang [e-mail]

first name, last name, email
Hung-Yang, Chien, [e-mail]
Yizhuo Liu, [e-mail]
Chenhao Nie, [e-mail]
Emily Davalos, [e-mail]
Jiayi Hao, [e-mail]
Nikki Qi, [e-mail]
Bing Rethy, [e-mail]
Nick Heimann, [e-mail]
Katie Simonian, [e-mail]
Erika Gastelum, [e-mail]
Vorathip Plengpanit, [e-mail]
Morgan Cohen, [e-mail]
Maxwell Chien, [e-mail]
Jared Hernandez, [e-mail]
Stella Lin, [e-mail]
Salma Shaikh, [e-mail]
Zizan Wang, [e-mail]
Sunny Xu, [e-mail]
Kwadwo Asiedu, [e-mail]
Jeffrey Myers, [e-mail]
Wenjun Gong, [e-mail]
Peter J. Wilborn, [e-mail]
Tino Tirado, [e-mail]
Sheerine Karamzadeh, [e-mail]
Valentina Chanci Arrubla, [e-mail]
Sora Park, [e-mail]
May Han, [e-mail]
John Kim, [e-mail]
Yelaine Wang [e-mail]
Dahlia Lopez del006
Chuyu Liu, [e-mail]
shivangi gupta, [e-mail]
YimengE Yang, yiy047@uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu
Rebecca Howard, [e-mail]
Ernesto Castañeda [e-mail]
Bonnie Devenney, [e-mail]
AAnna Kraemer [e-mail]
Troy Tuquero [e-mail]
Brenna Wayne [e-mail]
Mariya Nikseresht, [e-mail]
Collin Boudreaux, cboudreaux@ucsd
Michael Berman, [e-mail]
Chengan, Li, [e-mail]
Yuki Imura, [e-mail]
Hanya Jiang, [e-mail]
Zhibei Wang, [e-mail]
Kelli Maples, [e-mail]
Adrian R. Valdez, [e-mail]
Yunxin Liu, [e-mail]
Alayna Bone [e-mail]
Meiyu Su, [e-mail]
Hyun Ji Jung, [e-mail]
Koo Fum Kim, [e-mail]
Yu Shi, [e-mail]
Dan bee Lee, [e-mail]
Bowen Deng [e-mail]
Katy Norris [e-mail]
Yue Yu [e-mail]
Li Jiang, [e-mail]
Elizabeth Muthoni [e-mail]
Woojong, Kim, [e-mail]
Isai Hernandez [e-mail]
Austin Brown [e-mail]
Delana Du, [e-mail]
Jaeyeon, Park, [e-mail]
Lisa Howard, [e-mail]
Yu, Li, [e-mail]
Tomoyuki Aoki, [e-mail]
Stevinson Tendon, [e-mail]
Patricia Resurreccion, [e-mail]
Jinwei XU [e-mail]
Juliane Alfen [e-mail]
Yishu Tang, [e-mail]
Nicholas Valle [e-mail]
Qi Li, [e-mail]
Broderick Topil, [e-mail]
Emily Irion, [e-mail]
Ziyuan Zhu, [e-mail]
Yixiao, Huang, [e-mail]
David Reimer, [e-mail]
Elise Spencer, [e-mail]
Rawlins, Mackenna, [e-mail]
Xinyi Du ,[e-mail]
qihan huang, [e-mail]
Yilin Che, [e-mail]
# Notes

### Datatypes
3 primary: strings,, and floating point

Integers are whole numbers, do not have decimals

Floating point numbers are real numbers - can use decmial points

stings - sequence of characters that are immutable. meaning once it is created it cannot be changed.

type() #native function in python that tells you what your value datatype is

AString = '1'
AnInteger = 1
AFloat = 1.0
type(AString)
type(AnInteger)
type(1)

print(type(AString), type(1), type(AFloat))

## Challenge:

What type of values are the following: 3.4, car1, 2589, E234, 'car2'? Use the appropriate built-in function to find out the datatypes.

Answer":

car1 = 2017

print(type(3.4))
print(type(car1))
print(type(3589))
print(type('E234'))
print(type('car2'))

num1 = 2
num2 = 5
num3 = 'two'
num4 = 6.5

print(num1 * num2)
print(num3 * num2)
print(num2*num4)
print(num3*num4) #will produce an error

# you can use the '+' and '*' operators on strings
full_name = 'Ahmed' + ' ' + 'Walsh'
print(full_name)

separator = '=' * 10
print(separator)

Challenge:
What type of value (integer, floating point number, or character string) would you use to represent each of the following? Try to come up with more than one good answer for eachproblem. For example, in # 1, when would counting days with a floating point variable make moresense than using an integer?
1.
Number of days since the start of the year.
**integer**

2.
Time elapsed from the start of the year until now in days.
**float**
3.
Serial number of a piece of lab equipment.
**string or integer**
4.
A lab specimen’s age
**integer or string** (string if date/time is required)
5.
Current population of a city.
**integers for small populations and floating points for large - millions**
6.
Average population of a city over time.
**floating**

## Converting datatypes

print(1 + '2') # integer + string will produce an error
print(1 + int('2')) #convert datatype to an integer

print(1 + int('2')) # convert string to int
print(1 + float('2')) #convert datatype to an float

Challenge 3 - not covered in lecture
Which of the following will return the floating point number 2.0? Note: there may be more thanone right answer.

(Edit cell)
first = 1.0
second = "1"
third = "1.1"
1.
first + float(second)
2.
float(second) + float(third)
3.
first + int(third)
4.
first + int(float(third))
5.
int(first) + int(float(third))
6.
2.0 * second

### you can mix integrs and floats in operations

print('half is', 1/2.0)

### functions

print('before')
print()
print('after')

# Please SIgn in here session 3
### last name, first, name, email
Park, Sora, [e-mail]
Gastelum, Erika, [e-mail]
Yaohong Wang [e-mail]
Anna Kraemer [e-mail]
Daniela, Hall Lagunes, [e-mail]
Nick Heimann, [e-mail]
Bone, Alayna, [e-mail]
Chien, Maxwell, [e-mail]
Maples, Kelli, [e-mail]
Nikseresht, Mariya, [e-mail]
TsuPing, Wang, [e-mail]
Ziyuan Zhu, [e-mail]
Wilborn, Peter, [e-mail]
u
Rawlins, Mackenna, [e-mail]

Haoran Jiang, [e-mail]
qihan huang, [e-mail]
Hong En Jonas Lim, [e-mail]
Bing Rethy, [e-mail]
shivangi gupta, [e-mail]
Yue Yu [e-mail]
Myers, Jeffrey, [e-mail]

Nikki Qi, [e-mail]
Jaeyeon, Park, [e-mail]
Hung-Yang (Jason), Chien, [e-mail]
Chenhao Nie , [e-mail]
Moheb, Jasmine [e-mail]
Wenjun Gong, [e-mail]
Simonian, Katie [e-mail]
Plengpanit, Vorathip [e-mail]
Adrian R. Valdez, [e-mail]
David Reimer, [e-mail]
Yuki Imura, [e-mail]
Tendon, Stevinson, [e-mail]
John Kim [e-mail] Kim [e-mail] Kim [e-mail] Kim [e-mail] Kim [e-mail] Kim [e-mail] Kim [e-mail] Kim [e-mail]
Collin Boudreaux, [e-mail]
Su, Meiyu, [e-mail]
Hanya Jiang [e-mail]
Yu Shi, [e-mail]
SSSSSSSSSSSSSSSSSSS
Yimeng Yang, [e-mail]
Nicholas Valle njvalle.edu
Jared Hernandez, [e-mail]
Rebecca Howard, [e-mail]
Ernesto Castaneda [e-mail] :)H
Yu Li, [e-mail]
Yelaine Wang [e-mail]
Woojong, Kim, [e-mail]
Emily Davalos, [e-mail]
Wang,Zhibei,[e-mail]
Karamzadeh, Sheerine [e-mail]
Shuting Wang, [e-mail]
Zhengbo Zhang, [e-mail]
Sunny Xu, [e-mail]
Michael Berman, [e-mail]
Topil, Broderick, [e-mail]
Troy Tuquero [e-mail]
[e-mail]
[e-mail]
[e-mail]
[e-mail]
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[e-mail]
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[e-mail]
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[e-mail]
[e-mail]
[e-mail]
[e-mail]
[e-mail]
[e-mail]
[e-mail]
Koo Fum Kim, [e-mail]
Tomoyuki Aoki, [e-mail]
Tirado, Tino [e-mail]
Yizhuo Liu, [e-mail]
Poonam Narewatt, [e-mail]
Valentina Chanci Arrubla, [e-mail]
Bowen Deng [e-mail]
JIayiIayiIayiIayiIayiIayiIayiIayiIayiIayiIayiIayiIayiIayiIayiIayiIayiIayiIayiIayi
Yishu Tang, [e-mail]
Sam Cohen, [e-mail]
Dan-bee Lee, [e-mail]
Emily Irion, [e-mail]
Bonnie Devenney, [e-mail]
Han, May, [e-mail]
Chengan, Li, [e-mail]
Howard, Lisa, [e-mail]
Chuyu Liu, [e-mail]
Kwadwo Asiedu, [e-mail]
Patricia Resurreccion, [e-mail]
Emerson Tsui(Xu), [e-mail]
Xinyi Du ,[e-mail]
Elizabeth Muthoni, [e-mail]
Yilin Che, [e-mail]
Yixiao Huang, [e-mail]

Jung, Hyun Ji, [e-mail]
Yunxin Liu, [e-mail]

Alfen, Juliane [e-mail]

Shaikh, Salma, [e-mail]
Peter,Wilborn, [e-mail]
Qi

Zizan Wang. [e-mail]

Li, [e-mail]
Mattioli, Meghan [e-mail]
jinwei Xu [e-mail]

Morgan Cohen, [e-mail]

# NOTES
#is a function

round() 
max()
min()

## Challenge 1
What character has the index number of 8 in the variable named 'some_words' below?

some_words = 'This is my writing'

answer:

some_words = 'This is my writing'
print(some_words[8])

#Slicing

atom_name = 'sodium'
print(atom_name[0:3])

# Challenge 2

What does the following program print?

atom_name = 'carbon' print('atom_name[1:3] is', atom_name[1:3])

answer:

atom_name = 'carbon'
print('atom_name[1:3] is:', atom_name[1:3])

The built-in function 'len' can use the variable name as well as the actual string to find the length.

print(len(12345)) # error, len does not work on integers

convert the integer to a string and the use len()

print(len(str(9834516123)))

atom_name1 = 'helium'
print(len(atom_name1))

# Challenge 3

Assign the variable _song_ to the value _Mary had a little lamb_. What is the length of the variable song?

answer:

song = 'Mary had a little lamb'
print(len(song))

help() #This function is used with other functions as a kind of dictionary. When used on another function, the output explains what that function does.

*Note: If you input only 'help()', the output is an interface for searching not only functions but pretty much any Python syntax element.

## libraries

A library is a collection of files (called modules) that contains functions for use by other programs.
May also contain data values (e.g., numerical constants) and other things.
Library’s contents are supposed to be related, but there’s no way to enforce that.

The Python standard library (https://docs.python.org/3/library/) is an extensive suite of modules that comes with Python itself.

# using the math library

load library

import math as  #m is a pseudo name for the math library.  once assigned you can use 'm' to call the library

print('cos(pi) is', math.cos(math.pi))

# download data from Canvas
inflammation_01.csv

# tabular data

When working with most of the libraries mentioned, we use datasets (which is a collection of data) that are usually presented in tabluar form. This is referred to as Tabular Data.

### make sure your datafile is in same folder as your jupyterLab notebook

Import numpy library:

import numpy as np

load data file:

np.loadtxt(fname='inflammation-01.csv', delimiter = ',')

Assign dataset to variable:

data = np.loadtxt(fname='inflammation-01.csv', delimiter = ',')

print(np.mean(data))

# Session 4 01/13/2022

# Please SIgn in here session 3
# first name, last name, email
Gastelum, Erika, [e-mail]
Sam Cohen, [e-mail]
Yaohong Wang, [e-mail]
Sora Park, [e-mail]
Yizhuo Liu, [e-mail]
[e-mail]
Michael Berman, [e-mail]
Sunny Xu, [e-mail]
Nikki Qi, [e-mail]
Jasmine Moheb, [e-mail]
Lisa Howard, [e-mail]
Yunxin Liu, [e-mail]
Poonam Narewatt, [e-mail]
Emily Davalos, [e-mail]
Chenhao Nie. [e-mail]
Tirado, Tino [e-mail]
Bing Rethy, [e-mail]
WIlborn, Peter, [e-mail]
Adrian R. Valdez, [e-mail]
Ernesto Castaneda, [e-mail]
Yuki Imura, [e-mail]
Salma Shaikh, [e-mail]
Jared Hernandez, [e-mail]
Nick Heimann, [e-mail]
Wenjun Gong, [e-mail]
Valentina Chanci Arrubla, [e-mail]
Woojong, Kim, [e-mail]
Stella Lin, [e-mail]
Yu Shi, [e-mail]
Morgan Cohen, [e-mail]
Yu Li, [e-mail]
Haoran Jiang, [e-mail]
Hung-Yang (Jason), Chien, [e-mail]
Bonnie Devenney, [e-mail]
Patricia Resurreccion, [e-mail]
Sheerine Karamzadeh, [e-mail]
CollinMMMMMMMMMM Boudreaux, [e-mail]
Yishu Tang, [e-mail]
Jeff, Myers, [e-mail]
Yue Yu [e-mail]
Jiayi Hao, [e-mail]
Yelaine Wang [e-mail]
Hanya Jiang, [e-mail]
Austin Brown, [e-mail]
Alayna Bone, [e-mail]
Katie Simonian [e-mail]
Emily Irion, [e-mail]
David Reimer, [e-mail]
Qi Li, [e-mail]
Elizabeth Muthoni, [e-mail]
Mariya Nikseresht, [e-mail]
Shuting Wang, [e-mail]
Stevinson Tendon, [e-mail]
Elise Spencer, [e-mail]
Rawlins, Mackenna, [e-mail]
maxwell chien, tcchien@ucsdedu
Rebecca Howard, [e-mail]
Zhengbo Zhang, [e-mail]
Kwadwo Asiedu, kasiedu@@@
Hyun Ji Jung, [e-mail]
Troy Tuquero [e-mail]
Plengpanit, Vorathip [e-mail]
Tomoyuki Aoki, [e-mail]
Chengan, Li, [e-mail]
Nicholas Valle, [e-mail]
Kim, John, jok015@ucsd,edu
Delana Du, [e-mail]
Broderick Topil, [e-mail]
Yimeng Yang, [e-mail]
Hong En Jonas, [e-mail]
Ziyuan Zhu,[e-mail]
Jaeyeon, Park, [e-mail]
Xinyi Du，[e-mail]
Koo Fum Kim, [e-mail]
Anna Kraemer [e-mail]
Wang, Zhibei, [e-mail]
Chuyu Liu, [e-mail]
Bowen Deng, [e-mail]
Meghan Mattioli, [e-mail]
Juliane Alfen, [e-mail]
Meiyu, Su, [e-mail]
Dan Bee Lee, [e-mail]
Zizan Wang, [e-mail]
TsuPing, Wang, [e-mail]
Kelli Maples, [e-mail]
Qihan huang, [e-mail]
Emerson Tsui, [e-mail]
Yilin Che, [e-mail]
Yixiao Huang, [e-mail]

# Pandas and plotting

What is Pandas?
it is a free software library written for the Python programming language for data manipulation and analysis. It one of the most commonly used libraries offering data structures and operations for manipulating diverse datasets including numerical tables and time series.

### importing pandas

import pandas as pd

print(data)

when loading data, make sure to check your file location and datafile name

macos find path:
cmd + option + p

# Challenge 1
Read the data in 'gapminder_gdp_americas.csv' into a variable called 'americas' and display its summary statistics.
set index to country.

answer:

americas = pd.read_csv('gapminder_gdp_americas.csv', index_col='country')
print(americas)

data = pd.read_csv('gapminder_gdp_oceania.csv', index_col='country')

data = pd.read_csv('gapminder_gdp_oceania.csv', index_col='country')
print(data)

view dataframe:

data.info

print(data.T)

write to csv:

data.to_csv('mydatafile.csv')

data = pd.read_csv('gapminder_gdp_europe.csv', index_col='country')

data = pd.DataFrame(data)
print(data.iloc[0, 0])

# Python lesson 5 - 85

## sign in
first name, last name, email
Sora, Park, [e-mail]
Erika, Gastelum, [e-mail]
John Kim [e-mail]
Vorathip Plengpanit, [e-mail]
Hung-Yang (Jason), Chien, [e-mail]
hanya jiang, hhhhhhhhhhhhhhhhhhhhhhaj002@
Wilborn, Peter, [e-mail]
Stella Lin, [e-mail]
Salma Shaikh, [e-mail]
Jared Hernandez, [e-mail]
Troy Tuquero [e-mail]
Jiayi Hao. [e-mail]
Chuyu Liu, [e-mail]
Nicholas Valle [e-mail]
May, Han, [e-mail]
Collin Boudreaux, [e-mail]
Sunny Xu, [e-mail]
Lisa Howard, [e-mail]
Hyun Ji Jung, [e-mail]
Patricia Resurreccion, [e-mail]
maxwell chien, [e-mail]
Michael Berman, [e-mail]
Yuki Imura, [e-mail]
Alayna, Bone, [e-mail]
Chenhao Nie. [e-mail]
Bonnie Devenney, [e-mail]
Mariya Nikseresht, [e-mail]
Tirado, Tino, [e-mail]
Broderick, Topil, [e-mail]
Emily Davalos, [e-mail]
Zhibei, Wang, [e-mail]
Yue Yu [e-mail]
Yu Shi, [e-mail]
Simonian,Katie,[e-mail]
Shuting Wang, [e-mail]
Woojong, Kim, [e-mail]
Rebecca Howard, [e-mail]
Stevinson Tendon, [e-mail]
Yelaine Wang, [e-mail]
ssssssssSam Cohen, [e-mail]
Poonam Narewatt, [e-mail]
Nick Heimann, [e-mail]
Jasmine Moheb, [e-mail]
Qi Li, [e-mail]
Nikki Qi, [e-mail]
Morgan Cohen, [e-mail]
Sheerine Karamzadeh, [e-mail]
[e-mail]
Yu Li, [e-mail]
Tomoyuki Aoki, [e-mail]
Anna Kraemer [e-mail]
Hong En Jonas [e-mail]
Jeff Myers, [e-mail]
Haoran Jiang,[e-mail]
Ziyuan Zhu,[e-mail]
Yaohong Wang, [e-mail]
Dan bee Lee, [e-mail]
Ernesto Castaneda, [e-mail]
Kwadwo Asiedu, [e-mail]
Meiyu Su, [e-mail]
Delana Du, ddu@ucsd.e
austin brown, [e-mail]
Juliane Alfen [e-mail]
Dahlia Lopez [e-mail]
Yishu Tang, [e-mail]
Yimeng Yang, [e-mail]
Emily Irion, [e-mail]
Kelli Maples, [e-mail]
Chengan, Li, [e-mail]
Wenjun Gong, [e-mail]
Valentina Chanci Arrubla, [e-mail]
David Reimer, [e-mail]
Brenna Wayne, [e-mail]
Meghan Mattioli, [e-mail]
Rawlins, Mackenna, [e-mail]
Elise Spencer, [e-mail]
Yizhuo Liu, [e-mail]
Yuting Wan, [e-mail]
Koo Fum Kim, [e-mail]
Bing Rethy, [e-mail]
Hyejin Jung, [e-mail]
TsuPing, Wang, [e-mail]
zizan wang,[e-mail]
Juliane Alfen, [e-mail]
Bowen deng b2deng.ucsd.edu
jinwei XU [e-mail]
Yunxin Liu [e-mail]

import matplotlib.pyplot as plt


time = [0, 1, 2, 3]
position = [0, 100, 200, 300]


plt.plot(time, position) # (x,y) = (time, position)


plt.xlabel('Time (hr)')
plt.ylabel('Position (km)')


#plt.text(0.5, 50, 'Some_text')

import pandas as pd

data = pd.read_csv('gapminder_gdp_oceania.csv', index_col='country')


years = data.columns.str.strip('gdpPercap_')


data.columns = years.astype(int)

data.loc['Australia'].plot()

## Loops:

for number in [2,3,5]:
    print(number)

primes = [2,3,5]
for p in primes:
    squared = p ** 2 
    cubed = p ** 3
    print(p, squared, cubed)

for number in range(0,3):
    print(number)
    
for number in range(3):
    print(number)

total = 0

for number in range(1,11):
    total = total + number
    
print(total)

total = 0

for number in range(1,11):
    print(total,number)
    total = total + number
    
    
print(total)

## conditionals

mass = 3.54

if mass > 3.0:
    print(mass, 'is large')

mass = 2.07

if mass > 3.0:
    print(mass, 'is large')

masses = [3.54, 2.07, 9.22, 1.86, 1.71]

for m in masses:
    if m > 3.0:
        print(m, 'is large')

masses = [3.54, 2.07, 9.22, 1.86, 1.71]

for m in masses:
    if m > 3.0:
        print(m, 'is large')
    else:
        print(m, 'is small')

## challenge 1

What does this program print?
*try to guess before running the code

pressure = 71.9
if pressure > 50.0:
    pressure = 25.0
elif pressure <= 50.0:
    pressure = 0.0
print(pressure)

velocity = 10.0
if velocity > 20.0:
    print('moving too fast')
else:
    print('adjusting velocity')
    velocity = 50.0

velocity = 10 

for i in range(5): 
    print(i, ':', velocity)
    if velocity > 20:
        print('moving to fast')
        velocity = velocity - 5
    else:
        print('moving too slow')
        velocity = velocity + 10

velocity = 10 

for i in range(5): 
    print(i, ':', velocity)
    if velocity > 20:
        print('moving to fast')
        velocity = velocity - 5
    else:
        print('moving too slow')
        velocity = velocity + 10
        
print('final velocity:', velocity)

Simonian, Katie [e-mail]

# Python sesson 5 - 88

## sign in here
## first name last name, email
Erika, Gastelum, [e-mail]
John Kim, [e-mail]
Troy Tuquero ttuquero''''''''@ucsd.edu
Yizhuo Liu, [e-mail]
Vorathip Plengpanit, [e-mail]
Mariya Nikseresht, [e-mail]
Sam Cohen, [e-mail]
Bonnie Devenney, [e-mail]
Yuki Imura, [e-mail]
Chuyu Liu, [e-mail]
Broderick, Topil, [e-mail]
Jared Hernandez, [e-mail]
Wenjun Gong, [e-mail]
Emily Davalos, [e-mail]
Jeffrey Myers, [e-mail]
Michael Berman, [e-mail]
Nicholas Valle [e-mail]
Tino Tirado [e-mail]
Rebecca Howard, [e-mail]
Chenhao Nie. [e-mail]
Sunny Xu, [e-mail]
Collin Boudreaux [e-mail]
Wilborn, Peter, [e-mail]
Stevinson Tendon, [e-mail]
Emily Irion, [e-mail]
Sheerine Karamzadeh, [e-mail]
Yu Shi, [e-mail]
Rawlins, Mackenna, [e-mail]
Zhibei Wang, [e-mail]
Alayna Bone, [e-mail]
Bing Rethy, [e-mail]
Nick Heimann, [e-mail]
Elizabeth Muthoni, [e-mail]
Salma Shaikh, [e-mail]
Yaohong Wang [e-mail]
Hyun Ji Jung, [e-mail]
Meiyu Su, [e-mail]
shivangi gupta, [e-mail]
Ziyuan Zhu, [e-mail]
Woojong, Kim, [e-mail]
Meghan Mattioli [e-mail]
Yue Yu [e-mail]
Jinwei Xu jix002 @ucsd.edu
Austin Brown [e-mail]
Anna Kraemer [e-mail]
Juliane Alfen, [e-mail]
Qi Li, [e-mail]
Adrian Rodriguez Valdez, [e-mail]
Yunxin Liu, [e-mail]
TsuPing, Wang, [e-mail]
Bowen Deng [e-mail]

# Python sesson 6

## sign in here
## first name last name, email
Erika, Gastelum, [e-mail]
Brenna Wayne [e-mail]
Dan Bee Lee, [e-mail]
Hung-Yang (Jason), Chien, [e-mail]
May Han, [e-mail]
Sora Park, [e-mail]
Kwadwo Asiedu, [e-mail]
Yishu Tang, [e-mail]
Ernesto Castaneda, [e-mail]
Valentina Chanci Arrubla, [e-mail]
Xinyi Du，[e-mail]
Elise Spencer, [e-mail]
Emerson Tsui(Xu), [e-mail]
Patricia Resurreccion, [e-mail]
Nikki Qi, [e-mail]
David Reimer, [e-mail]
Poonam Narewatt, [e-mail]
Stella Lin, [e-mail]
Yelaine Wang, [e-mail]
Tomoyuki Aoki, [e-mail]
Jiayi Hao, [e-mail]
Yu Li, [e-mail]
Chengan, Li, [e-mail]
Salma Shaikh, [e-mail]
Morgan Cohen, [e-mail]
Hyejin Jung, [e-mail]
Zizan,Wang [e-mail]
Hong En Jonas, [e-mail]
Kelli Maples, [e-mail]
Shuting Wang, [e-mail]
Hyun Ji Jung, [e-mail]
Li Jiang, [e-mail]
Hanya Jiang, [e-mail]
Bowen Deng [e-mail]
Sunny Xu, [e-mail]

Code:
### Lists

pressure_1 = 1
pressure_2 = 2

pressures = [1.1, 3.2, 5.5, 6.4, 1.5]

print('pressures:', pressures)
print('length: ', len(pressures))
print('0th item', pressures[0])
print('1st item', pressures[1])

numbers = [1,2,3]
print('numbers before append:', numbers)
numbers.append(4)
print('numbers after append:', numbers)

for filename in ['data/gapminder_gdp_africa.csv', 'data/gapminder_gdp_asia.csv']: #make sure to use your own file path
    data = pd.read_csv(filename, index_col='country')
    print(filename, data.min())

import glob
print('All csv files inside data directory:', glob.glob('*.csv')) #make sure to use your file path to the data files e.g. ('data/*.txt')
print('All txt files inside data directory:', glob.glob('*.txt'))#make sure to use your file path to the data files e.g. ('data/*.txt')

## Challenge 1

Which of these files is not matched by the expression:

glob.glob('data/\*as*\.csv')?

1. data/gapminder_gdp_africa.csv
2. data/gapminder_gdp_americas.csv
3. data/gapminder_gdp_asia.csv

for filename in glob.glob('gapminder_*.csv'):
    data = pd.read_csv(filename)
    print(filename, data['gdpPercap_1952'].min())

# writing functions

# Challenge 1
Without running this code, identify the location of any errors if there are any:

def another_function
  print("Syntax errors are annoying.")
   print("But at least python tells us about them!")
  print("So they are usually not too hard to fix.")

Solution:

def another_function():
  print("Syntax errors are annoying.")
  print("But at least Python tells us about them!")
  print("So they are usually not too hard to fix.")
 # ^Correct solution above.
#1. We forgot to declare our parameters.
#2. We forgot the colon following our parameters.
#3. The middle line is indented too much.

def print_date(year, month, day):
    joined = str(year) + '/' + str(month) + '/' + str(day)
    print(joined)
    
print_date(2022, 1, 2)  

print_date(day = 2, year = 2022, month = 1)

def average(values):
    if len(values) == 0:
        return none
    return sum(values)/len(values)
avg = average([1,3,4])
print(avg)

def print_date(year, month, day):
    joined = str(year) + '/' + str(month) + '/' + str(day)
    print(joined)
    
print_date(1871, 3, 19)

my_date = print_date(1871,2,19)
print(my_date)

# Challenge 3
Now that we've fixed this function, print the result of the call. Why is this the result?

 def print_time(hour, minute, second):
    time_string = str(hour) + ':' + str(minute) + ':' + str(second)
    print(time_string)
    
 result = print_time(11, 37, 59)
 print('result of call is:', result)