Here is my code
#import modules
import pandas as pd
#assign pd.read_csv() to infile to read in data from a datafile
infile = pd.read_csv('..\Infiles\\StarWars_Data.txt')
#get user input for selecting a Series name
Series_name = input("please enter the name of one of the series's for closer inspection")
#Select the Series
Series_Data = infile[Series_name]
#Chain the value_counts(), and describe() and to_csv() methods
Series_Data.value_counts()\
.describe()\
.to_csv('..\Outfiles\StarWars_Results.txt')
I expect it to perform value_counts()
(returns the numbers of unique values in a series), describe()
(gives summary statistics on a series), and to_csv
(writes what is stored into a specified csv file).
For some reason to_csv()
is returning describe()
but it is not returning value_counts()
, how do I write the data from both value_counts()
and describe()
to the same document?
IIUC, do you want?
pd.concat([df['words'].value_counts(),
df['words'].describe()])\
.to_csv('..\Outfiles\StarWars_Results.txt')
MCVE:
s = pd.Series([*'AABBBBCDDEEEEEEE'])
pd.concat([s.value_counts(), s.describe()]).rename_axis('key').to_csv('a.text')
!type a.txt
Output:
key,0
E,7
B,4
A,2
D,2
C,1
count,16
unique,5
top,E
freq,7