How to read Excel Using Pandas

  import pandas as pd
  from pandas import ExcelWriter
  from pandas import ExcelFile

Lets read a excel file, Excel file contains stocks data

  df = pd.read_excel('/home/downloads/INTC.xlsx')
  df.head()

 lets check the columns

  df.columns
  Index(['Date', 'Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume'], dtype='object')

lets access the column 'Date and look at 10 rows'

  df['Date'].head()
  0  2018-08-17
  1  2018-08-20
  2  2018-08-21
  3  2018-08-22
  4  2018-08-23
  Name: Date, dtype: datetime64[ns]

lets subtract column high - column open

  high_low_diff= df['High'] - df['Open']
  high_low_diff.head()
  0  0.389999
  1  0.070000
  2  1.189998
  3  0.099998
  4  0.309997
  dtype: float64

lets go through the indexes and print values from column

  for i in df.index[:10]:
    print(df['Date'][i])
  2018-08-17 00:00:00
  2018-08-20 00:00:00
  2018-08-21 00:00:00
  2018-08-22 00:00:00
  2018-08-23 00:00:00
  2018-08-24 00:00:00
  2018-08-27 00:00:00
  2018-08-28 00:00:00
  2018-08-29 00:00:00
  2018-08-30 00:00:00

same thing can be done using following

  df['Date'].head()
  0  2018-08-17
  1  2018-08-20
  2  2018-08-21
  3  2018-08-22
  4  2018-08-23
  Name: Date, dtype: datetime64[ns]