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A:
I have seen someone post the same code and the result you were getting on my side too. I have tried to modify that part of the code and found that if you are using pandas.read_csv and pd.read_excel it’s not working as expected. Now I am using pandas.read_csv() and it is working fine.
A possible reason can be that you are getting an object or row from the excel sheet as output and trying to get columns from the object, which is giving you error.
Here is the modified code.
import math
import pandas as pd
#Base File
file = “Business.xlsx”
df1 = pd.read_csv(file)
#Your data
date1 = pd.to_datetime([‘2015-01-25 00:00:00’, ‘2015-01-26 00:00:00’, ‘2015-01-27 00:00:00’])
data1 = np.array([1, -1, 2])
#File with the data
file2 = “Database.xlsx”
df2 = pd.read_excel(file2)
#Creating a dataframe of the 2nd spreadsheet
df2 = df2.append(pd.DataFrame({‘Date’: date1, ‘Data’: data1}))
#First three values after parsing
X1 = df2.iloc[:, :3]
X2 = df2.iloc[:, 3:6]
X3 = df2.iloc[:, 6:9]
#Let’s print the columns in the dataframe
print X1.values, X2.values, X3.values
#Printing the dataframes
print X1.to_string()
print X2.to_string()
print X3.to_string()
#Now let’s try to merge the columns based on the date column
df3 = pd.merge(df1, X3, left_on=’Date’, right_on=’Date’)
#print the merged dataframe
print df3.to_string()
#Now let’s try to merge the columns based on the date column
df4 = pd.merge(df1, X1, left_on=’Date’,
