pandas creating csv file from for loop

user_14441059 0
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I have dataframe consisting of more than 200 columns. I want to value_counts() in each column. Below is my code which is working fine but when I want to create "csv". The below code only enter the last column (value count). I want all.

import pandas as pd
df = pd.read_csv("hcp.csv")
for col in df:
    df2 = df[col].value_counts()
    print(df2)
df2.to_csv("new_hcp.csv")

The print(df2) is showing all value counts but not "CSV". Anyone who can help, I will be grateful.

pandas for-loop python loops
2 Answers

You can use an apply on the value_counts method to get all the values count by column :

import pandas as pd


df = pd.read_csv("hcp.csv")
df2 = df.apply(pd.Series.value_counts).unstack().to_frame().dropna().reset_index().rename(columns={'level_0': 'col_name', 'level_1': 'value_name', 0: 'count'})
df2.to_csv("new_hcp.csv", index=False)
user_84793870

You are overwriting the value of df2 in each iteration. Create an empty list outside the loop, append the value of value_counts, then create a DF from that list and output it.

import pandas as pd
df = pd.read_csv("hcp.csv")
value_counts_list = []
for col in df:
    value_counts_list.append(df[col].value_counts())
    print(df2)
pd.DataFrame(value_counts_list).to_csv("new_hcp.csv")
user_155609900
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