pandasReading files into pandas DataFrame

Read table into DataFrame

Table file with header, footer, row names, and index column:

file: table.txt

This is a header that discusses the table file
to show space in a generic table file

index  name     occupation
1      Alice    Salesman
2      Bob      Engineer
3      Charlie  Janitor  

This is a footer because your boss does not understand data files

code:

import pandas as pd
# index_col=0 tells pandas that column 0 is the index and not data 
pd.read_table('table.txt', delim_whitespace=True, skiprows=3, skipfooter=2, index_col=0)

output:

          name occupation
index
1        Alice   Salesman
2          Bob   Engineer
3      Charlie    Janitor

Table file without row names or index:

file: table.txt

Alice    Salesman
Bob      Engineer
Charlie  Janitor 

code:

import pandas as pd 
pd.read_table('table.txt', delim_whitespace=True, names=['name','occupation'])

output:

      name occupation
0    Alice   Salesman
1      Bob   Engineer
2  Charlie    Janitor

All options can be found in the pandas documentation here

Read CSV File

Data with header, separated by semicolons instead of commas

file: table.csv

index;name;occupation
1;Alice;Saleswoman
2;Bob;Engineer
3;Charlie;Janitor

code:

import pandas as pd
pd.read_csv('table.csv', sep=';', index_col=0)

output:

          name occupation
index
1        Alice   Salesman
2          Bob   Engineer
3      Charlie    Janitor

Table without row names or index and commas as separators

file: table.csv

Alice,Saleswoman
Bob,Engineer
Charlie,Janitor

code:

import pandas as pd 
pd.read_csv('table.csv', names=['name','occupation'])

output:

      name occupation
0    Alice   Salesman
1      Bob   Engineer
2  Charlie    Janitor

further clarification can be found in the read_csv documentation page

Collect google spreadsheet data into pandas dataframe

Sometimes we need to collect data from google spreadsheets. We can use gspread and oauth2client libraries to collect data from google spreadsheets. Here is a example to collect data:

Code:

from __future__ import print_function
import gspread
from oauth2client.client import SignedJwtAssertionCredentials
import pandas as pd
import json

scope = ['https://spreadsheets.google.com/feeds']

credentials = ServiceAccountCredentials.from_json_keyfile_name('your-authorization-file.json', scope)

gc = gspread.authorize(credentials)

work_sheet = gc.open_by_key("spreadsheet-key-here")
sheet = work_sheet.sheet1
data = pd.DataFrame(sheet.get_all_records()) 

print(data.head())