Extracting the correct data from a CSV file

[S2G]

Writing a code where I can extract data from this file.

  satellites.csv (Size: 8.59 KB / Downloads: 22)
Someone able to help to write a code that can, for example:

"Print all the moons from Jupiter, and rank them from highest to lowest radius?"

or "Print the moons in alphabetic order"

All help apprieciated!

[S2G]

Writing a code where I can extract data from this file.
[attachment=2894]
Someone able to help to write a code that can, for example:

"Print all the moons from Jupiter, and rank them from highest to lowest radius?"

or "Print the moons in alphabetic order"

All help apprieciated!

[menator01]

What have you tried?

[S2G]

What have you tried?

Pretty new into this, and found using CSV files hard...
But created a list for the relevant moons, but cant figure out how to only append those of Jupiter for a start

[deanhystad]

What are you finding difficult about reading csv files. This one looks very simple to read using either the csv module or pandas. I suggest pandas.

https://pandas.pydata.org/docs/reference...d_csv.html

Once the csv file is read into a dataframe, you can select rows using conditions.

https://pandas.pydata.org/docs/getting_s..._data.html

[Pedroski55]

To sort by radius, I would first change the entries, some of which look like: 1821.6±0.5, 1560.8±0.5

These will give odd results! Change them into float numbers like 1821.6 or 1560.8, to make the sorting easy!

Without getting into pandas for now, as I am very bad in pandas, you can easily get the Jupiter data like this:

import csv
import pandas as pd

path2data = '/home/pedro/myPython/csv/csv/satellites.csv'
moons = []

# put all the data in moons for safe-keeping and further use
with open(path2data) as infile:
    data = csv.reader(infile, delimiter=',')
    for line in data:
        moons.append(line)
        
task1 = "Print all the moons from Jupiter, and rank them from highest to lowest radius."
print(task1)

# just get Jupiter stuff as a list
Jupiter = [p for p in moons if p[0] == 'Jupiter']
len(Jupiter) # returns 67

Now you have a list with all the data on the moons of Jupiter! (Didn't know there were so many!)

For sorting lists, look up sort() and sorted(), for example here.

.sort() and sorted() can be confusing.

The difference between sort() and sorted() is:

mylist.sort() returns None: sort() sorts the list you are using, for instance here, mylist and so changes it directly.

sorted(mylist) returns a new list, sorted the way you want.

Using sorted:

mylist = [i for i in 'qwerty']
newlist = sorted(mylist)
mylist # returns ['q', 'w', 'e', 'r', 't', 'y']
newlist # returns ['e', 'q', 'r', 't', 'w', 'y']

Using sort()

mylist = [i for i in 'qwerty']
mylist # returns ['q', 'w', 'e', 'r', 't', 'y']
mylist.sort()
mylist # returns ['e', 'q', 'r', 't', 'w', 'y']

Task 2:

task2 = "Print the moons of Jupiter in alphabetic order"
print(task2)

# Jupiter is a list of lists
# sorted loops through Jupiter and here looks at the second element x[1], the name of the moon, in each list
Jupiter_moons_by_alphabet = sorted(Jupiter, key=lambda x: x[1])
for j in Jupiter_moons_by_alphabet:
    print(j[1])
print('Task 2 done!')

Apparently, people with very good eyesight can actually see the 4 main moons of Jupiter with the naked eye! (No chance there for me!)

[snippsat]

or "Print the moons in alphabetic order"

Just to give help with this task,it's the same start for the other task as you use DataFrame sat_df.
It's a typically dataset to be used with Pandas,you should mention what to use.
As regulars Python and Pandas are quite different.

import pandas as pd

file = 'satellites.csv'
sat_df = pd.read_csv(file)
# Sort the moons alphabetically
moons_sorted = sat_df.sort_values(by='name')
print(moons_sorted[['planet', 'name']])

Output:
      planet      name
17   Jupiter  Adrastea
93    Saturn   Aegaeon
107   Saturn     Aegir
33   Jupiter     Aitne
101   Saturn  Albiorix
..       ...       ...
133   Uranus   Titania
151   Uranus  Trinculo
158  Neptune    Triton
132   Uranus   Umbriel
94    Saturn      Ymir

[177 rows x 2 columns]