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Author: Randomiser47

day-25/Squirrel Color Count.csv

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+,Fur Color,Amount
+0,grey,2473
+1,red,392
+2,black,103

day-25/Squirrel_Census.csv

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+# # with open ("weather_data.csv") as file:
+# #     data = file.readlines()
+# # print(data)
+
+# # import csv
+
+# # with open ("weather_data.csv") as data_file:
+# #     data = csv.reader(data_file)
+# #     tempreature = []
+# #     for row in data:
+# #         if row[1] != 'temp':
+# #             tempreature.append(int(row[1]))
+
+# # print(tempreature)
+
+
+# import pandas
+
+# data = pandas.read_csv('weather_data.csv')
+# # print(data['temp'])
+# # temp_list = data['temp'].tolist()
+
+# # max_temp = data['temp'].max()
+# # # print(data[data.temp == max_temp])
+
+# # monday = data[data.day == "Monday"]
+# # print(monday.temp * (9/5) +32)
+
+
+# #creating dataframe from scratch
+# data_dict = {
+#     "students":["amy","james","angela"],
+#     "scores": [76,56,65],
+# }
+
+# data = pandas.DataFrame(data_dict)
+# print(data)
+
+# data.to_csv("new_data.csv")

day-25/main.py

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+,students,scores
+0,amy,76
+1,james,56
+2,angela,65

day-25/new_data.csv

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+import pandas
+
+data = pandas.read_csv("Squirrel_Census.csv")
+grey =len(data[data["Primary Fur Color"]=="Gray"])
+red =len(data[data["Primary Fur Color"]=="Cinnamon"])
+black =len(data[data["Primary Fur Color"]=="Black"])
+
+squirrel_dict = {
+    "Fur Color":["grey","red","black"],
+    "Amount":[grey,red,black]
+}
+
+print(squirrel_dict)
+
+new_squirrel_data = pandas.DataFrame(squirrel_dict)
+print(new_squirrel_data)
+
+new_squirrel_data.to_csv("Squirrel Color Count.csv") #new file name
+
+
+
+# Alternate solution
+# grey =0 
+# cinnamon = 0 
+# black = 0
+
+# for color in colors:
+#     if color == "Gray":
+#         grey +=1
+#     elif color == "Cinnamon":
+#         cinnamon +=1
+#     elif color == "Black":
+#         black +=1
+
+# # print (grey,cinnamon,black)

day-25/squirrel_census.py

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+state,x,y
+Alabama,139,-77
+Alaska,-204,-170
+Arizona,-203,-40
+Arkansas,57,-53
+California,-297,13
+Colorado,-112,20
+Connecticut,297,96
+Delaware,275,42
+Florida,220,-145
+Georgia,182,-75
+Hawaii,-317,-143
+Idaho,-216,122
+Illinois,95,37
+Indiana,133,39
+Iowa,38,65
+Kansas,-17,5
+Kentucky,149,1
+Louisiana,59,-114
+Maine,319,164
+Maryland,288,27
+Massachusetts,312,112
+Michigan,148,101
+Minnesota,23,135
+Mississippi,94,-78
+Missouri,49,6
+Montana,-141,150
+Nebraska,-61,66
+Nevada,-257,56
+New Hampshire,302,127
+New Jersey,282,65
+New Mexico,-128,-43
+New York,236,104
+North Carolina,239,-22
+North Dakota,-44,158
+Ohio,176,52
+Oklahoma,-8,-41
+Oregon,-278,138
+Pennsylvania,238,72
+Rhode Island,318,94
+South Carolina,218,-51
+South Dakota,-44,109
+Tennessee,131,-34
+Texas,-38,-106
+Utah,-189,34
+Vermont,282,154
+Virginia,234,12
+Washington,-257,193
+West Virginia,200,20
+Wisconsin,83,113
+Wyoming,-134,90

day-25/us-states-game/50_states.csv

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+,0
+0,Arizona
+1,California
+2,Colorado
+3,Connecticut
+4,Delaware
+5,Florida
+6,Georgia
+7,Hawaii
+8,Idaho
+9,Illinois
+10,Indiana
+11,Iowa
+12,Kansas
+13,Kentucky
+14,Louisiana
+15,Maine
+16,Maryland
+17,Massachusetts
+18,Michigan
+19,Minnesota
+20,Mississippi
+21,Missouri
+22,Montana
+23,Nebraska
+24,Nevada
+25,New Hampshire
+26,New Jersey
+27,New Mexico
+28,New York
+29,North Carolina
+30,North Dakota
+31,Oklahoma
+32,Oregon
+33,Pennsylvania
+34,Rhode Island
+35,South Carolina
+36,South Dakota
+37,Tennessee
+38,Utah
+39,Vermont
+40,Virginia
+41,Washington
+42,West Virginia
+43,Wisconsin
+44,Wyoming

day-25/us-states-game/blank_states_img.gif

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+import turtle
+import pandas
+from state_move import State_m
+score = turtle
+screen = turtle.Screen()
+screen.title("U.S. States Game")
+image = "blank_states_img.gif"
+screen.addshape(image)
+turtle.shape(image)
+
+states_data = pandas.read_csv('50_states.csv')
+state_name = states_data.state
+states_to_learn = []
+guessed_states = []
+answerd_state = []
+while len(guessed_states) < 50:
+    answer_state = screen.textinput(title=f"{len(guessed_states)}/{len(state_name)} Guess the state", prompt="What's another state's name?").title()
+    if answer_state == "Exit":
+        break
+    if answer_state not in state_name.values:
+        print("Invalid state! Try again.") 
+        continue 
+
+    #If valid, proceed to get the coordinates
+    answerd_state.append(answer_state)
+    x_place = int(states_data[states_data["state"] == answer_state].x.iloc[0])
+    y_place = int(states_data[states_data["state"] == answer_state].y.iloc[0])
+
+    guessed_states.append(answer_state)
+
+    state_label = State_m(answer_state, x_place, y_place)
+            
+         
+for state in states_data.state:
+    if state not in answerd_state:
+        states_to_learn.append(state)
+pandas.DataFrame(states_to_learn).to_csv("learn_states.txt")

day-25/us-states-game/learn_states.txt

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+from turtle import Turtle
+
+class State_m(Turtle):
+        def __init__(self,state_name,x_coord,y_coord):
+            super().__init__()
+            self.hideturtle()
+            self.penup()
+            self.color('black')
+            self.goto(x=x_coord,y=y_coord)
+            self.write(f"{state_name}")

day-25/us-states-game/main.py

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+day,temp,condition
+Monday,12,Sunny
+Tuesday,14,Rain
+Wednesday,15,Rain
+Thursday,14,Cloudy
+Friday,21,Sunny
+Saturday,22,Sunny
+Sunday,24,Sunny