Question

import pandas as pd
df = pd.read_csv('admission_data.csv')
df.head()
female = 0
male = 0
for row in df:
    if df['gender']).any()=='female':
       female = female+1             
    else:
       male = male+1

打印（女）打印男性

CSV文件有5列Here is the picture

我想找到女性总数，男性和入学人数，入学女性人数，男性入学谢谢。这是我尝试过的代码和上面代码的一些迭代，但它们似乎都没有用。

Answer 1

您的import UIKit import AVKit import AVFoundation private var looper: AVPlayerLooper? class ViewController: UIViewController { override func viewDidLoad() { super.viewDidLoad() let path = Bundle.main.path(forResource: "Innie-Kiss", ofType:"mp4") let player = AVQueuePlayer(url: URL(fileURLWithPath: path!)) looper = AVPlayerLooper(player: player, templateItem: AVPlayerItem(asset: AVAsset(url: URL(fileURLWithPath: path!)))) let controller = AVPlayerViewController() controller.player = player let screenSize = UIScreen.main.bounds.size let videoFrame = CGRect(x: 0, y: 200, width: screenSize.width, height: (screenSize.height - 130) / 2) controller.view.frame = videoFrame self.view.addSubview(controller.view) player.play() } }逻辑错误。
根本不需要循环。

if

或者，您可以使用print(df['gender'].tolist().count('female')) print(df['gender'].tolist().count('male'))作为@Wen建议：

value_counts

经验法则：99％的时候在使用pandas时不需要使用显式循环。如果你发现自己使用了一个，那么最有可能是更好（更快）的方式。

Answer 2

您只需要value_counts

df['gender'].value_counts()

Answer 3

我认为您可以使用这些兄弟

// This line creates create a data frame which only have gender as male
count_male=df[df['Gender']=="male"]
// 2nd line you are basically counting how many values are there in gender column
count_male['Gender'].size

（或）

count_male=df['Gender']=="male"]
count_male.sum()

Answer 4

我创建了以下csv文件：

student_id,gender,major,admitted
35377,female,chemistry,False
56105,male,physics,True
31441,female,chemistry,False
51765,male,physics,True
31442,female,chemistry,True

将csv文件读入dataframe：

import pandas as pd
df=pd.read_csv('D:/path/test1.csv', sep=',')
df[df['admitted']==True].groupby(['gender','admitted']).size().reset_index(name='count')

df
    gender  admitted    count
0   female  True    1
1   male    True    2

希望这有帮助！

Answer 5

获取列gender中的值，存储在列表中，并计算出现次数：

import pandas as pd
df = pd.read_csv('admission_data.csv')

print(list(df['gender']).count('female'))
print(list(df['gender']).count('male'))

我在这里有一个代码，我想在某个csv文件中找到女性和男性的总数。

5 个答案: