day 26 - comprehensions
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@ -18,10 +18,9 @@ found_states = []
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while len(found_states) < 50:
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guess = str(screen.textinput(f"{states_remaining} states to find", "Find a state:"))
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if guess == "None":
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with open("missing_states.csv", "w") as f:
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for a_state in data.state:
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if a_state not in found_states:
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f.write(f"{a_state}\n")
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missing_states = [ s for s in data.states if s not in found_states ]
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output = pd.DataFrame(missing_states)
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output.to_csv("missing_states.csv")
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exit()
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state = data[data.state == guess.title()]
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15
026/main.py
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15
026/main.py
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@ -0,0 +1,15 @@
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import pandas as pd
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# Keyword Method with iterrows()
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# {new_key:new_value for (index, row) in df.iterrows()}
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#TODO 1. Create a dictionary in this format:
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# {"A": "Alfa", "B": "Bravo"}
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data = pd.read_csv("nato_phonetic_alphabet.csv")
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dict = { row.letter:row.code for (index, row) in data.iterrows() }
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#TODO 2. Create a list of the phonetic code words from a word that the user inputs.
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input = list(input("Which word do you want to spell?\n"))
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print([ dict[letter.upper()] for letter in input])
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27
026/nato_phonetic_alphabet.csv
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27
026/nato_phonetic_alphabet.csv
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@ -0,0 +1,27 @@
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letter,code
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A,Alfa
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B,Bravo
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C,Charlie
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D,Delta
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E,Echo
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F,Foxtrot
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G,Golf
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H,Hotel
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I,India
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J,Juliet
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K,Kilo
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L,Lima
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M,Mike
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N,November
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O,Oscar
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P,Papa
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Q,Quebec
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R,Romeo
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S,Sierra
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T,Tango
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U,Uniform
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V,Victor
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W,Whiskey
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X,X-ray
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Y,Yankee
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Z,Zulu
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5
026/task.py
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5
026/task.py
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@ -0,0 +1,5 @@
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numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
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new_numbers = [ n for n in numbers if n % 2 == 1 ]
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print(new_numbers)
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