Python - 第一行读取 CSV 不按顺序

Question

When reading a CSV with a list games in a single column, the game in the first/top row is displayed out of order, like so:

                        Fatal Labyrinth™
0                            Beat Hazard
1                             Dino D-Day
2                 Anomaly: Warzone Earth
3                        Project Zomboid
4           Avernum: Escape From the Pit

..with the code being:

my_data = pd.read_csv(r'C:\Users\kosta\list.csv', encoding='utf-16', delimiter='=')
print(my_data)

Fatal Labyrinth is, I suppose, not indexed. Adding 'index_col=0' lists each game, like so:

Empty DataFrame
Columns: []
Index: [Beat Hazard, Dino D-Day, more games etc...]

But this does not help, as the endgame here is to count each game and determine the most common, but when doing:

counts = Counter(my_data)
dictTime = dict(counts.most_common(3))
for key in dictTime:
    print(key)

..all I'm getting back is:

Fatal Labyrinth™

Thank you :)

Answer 1

Need to add " names= " parameter when you read the CSV file.

my_data = pd.read_csv('test.csv',  delimiter='=', names=['Game_Name'])  # Game_Name is given as column name
print(my_data)

                      Game_Name
0              Fatal Labyrinth™
1                   Beat Hazard
2                    Dino D-Day
3        Anomaly: Warzone Earth
4               Project Zomboid
5  Avernum: Escape From the Pit

Also value_counts() can be used on the dataframe to find the frequency of the value.

(my_data.Game_Name.value_counts(ascending=False)).head(3)  # Top three most frequent value

Project Zomboid           1
Anomaly: Warzone Earth    1
Beat Hazard               1
Name: Game_Name, dtype: int64

In case, you need to get the top game name by its frequency,

(my_data.Game_Name.value_counts()).head(1).index[0]

'Project Zomboid'