[英]Python - Looping through specific column in CSV file
I currently have my csv file displaying on python: 我目前在python上显示我的csv文件:
df = pd.read_csv("Desktop\Assignment\World Cup 2018.csv")
df.head()
Here I can see that my data has been opened and the unneeded columns have been removed. 在这里,我可以看到我的数据已被打开,不需要的列已被删除。 Now I want to use some variables named CounterVal1 (and so on) to count the amount of times a formation appears in a row.
现在,我想使用一些名为CounterVal1的变量(以此类推)来计算某行连续出现的次数。
for i in enumerate(df['home_formation']):
if i == '4-2-3-1':
counterVal1 += 1
elif i == '4-1-4-1':
counterVal2 += 1
performance = [counterVal1,counterVal2,counterVal3,counterVal4,counterVal5,counterVal6]
plt.bar(y_pos, performance, align='center', alpha=0.8)
However I have printed off one of these values and it appears that the data is not being searched through as show above. 但是,我已打印出这些值之一,并且似乎没有如上所示搜索数据。
My question: How do I take in the data from the CSV file, take just the column related to the formation and loop through it? 我的问题:如何从CSV文件中获取数据,仅获取与格式相关的列并循环遍历?
You haven't really provided much here. 您在这里确实没有提供太多信息。 So this is just guess work.
因此,这只是猜测。
Based on your comment I'm guessing this is what you want : 根据您的评论,我猜这就是您想要的:
df['home-formation'].value_counts().plot('bar')
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