如何将 DataFrame 列作为函数中的参数传递？

Question

enter image description here 检查特定值的分布，例如给定列中天气正好多云的次数。随意检查其他值。你可以通过调用clear函数来检查它的参数。

#Importing the modules
import pandas as pd
import numpy as np
from scipy.stats import mode 

weather = pd.read_csv(path, sep = ",", delimiter = None)
#code to check distribution of variable
def clear(df,col,val):
    """ Check distribution of variable
    df,col,val
    This function accepts a dataframe,column(feature) and value which returns count of the value,
    containing the value counts of a variable(value_counts)

Keyword arguments:
df - Pandas dataframe
col - Feature of the datagrame
val - value of the feature

Returns:
value_counts - Value count of the feature 
"""
        
value_counts = df[(df.col == val)]     # filtering dataframe
print(len(value_counts))

clear(weather,weather.Weather,'Cloudy') #调用函数clear

Answer 1

也许只是传递列的名称 - 而不是整个列：

def clear(df, column_name, column_value):
    value_counts = df.loc[(df[column_name] == column_value)]     # filtering dataframe
    return len(value_counts)