Python Pandas – trying to get counts and percentages for all fields – Can only get one or the other

Question

I want to import some survey data, loop through all fields, and run counts and percentages. I’m struggling to get this to work for both a count and percentage of each value in a question.

For example, here’s what a survey question might look like:

Q1

ID	Response
1	White
2	Black
3	Black

DESIRED OUTPUT:
Q1

Black 2 66.6%
White 1 33.3%

Below is my attempt and I know it isn’t correct, but I want to show that I am trying.

import pandas as pd
import numpy as np
dataset = pd.read_excel('imp_survey_analyze.xlsx')

for column in df.columns
    print("n" + column)
    print(df[column].value_counts())

Asked By: tenebris silentio

||

Source

Answer 1

try:

out=df['Response'].value_counts(normalize=True).mul(100).round(1).astype(str)+'%'

Finally:

out=pd.concat([df['Response'].value_counts(),out],axis=1)
out.columns=['count','percentage']

Output of out:

          count     percentage
Response        
Black       2       66.7%
White       1       33.3%

Answered By: Anurag Dabas

Answer 2

import pandas as pd
data = [['ID','Response'],
['1','White'],
['2','Black'],
['3','Black']]

df = pd.DataFrame(data[1:], columns=data[0])

descriptive_df = (df.groupby(by='Response').count())

descriptive_df['percentages'] = descriptive_df["ID"] / descriptive_df["ID"].sum()

print (descriptive_df)

>>> ID  percentages
>>> Response
>>> Black      2     0.666667
>>> White      1     0.333333

Answered By: DSteman

Answer 3

Try this:

>>> pd.concat([df["Response"].value_counts(), df["Response"].value_counts(normalize=True)], axis=1, keys=["Count", "%"])
       Count         %
Black      2  0.666667
White      1  0.333333

Answered By: not_speshal

Python Pandas – trying to get counts and percentages for all fields – Can only get one or the other

Question:

Answers: