pandas - How to read an excel file directly from a Server with Python

Question

Scenario: I am trying to read a excel file from a server folder and after that read each worksheet of that file into a dataframe and perform some operations.

Issue: I have trying multiple approaches but facing different situations: either I read the file, but it is seen as a str and the operations cannot be performed, or the file is not read.

What I tried so far:

#first attempt
os.path(r'\XstrDbCSourceselectionDateTest','r')  

#second attempt
directory = os.getcwd() + "\C\Source\selection\Date\Test"

#third attempt
f = os.getcwd() + "\C\Source\selection\Date\Test\12.xlsx"

#fourth attempt
f = open(r'\XstrDbCSourceselectionDateTest12.xlsx', 'r')

db1 = pd.DataFrame()
db2 = pd.DataFrame()
db3 = pd.DataFrame()
bte = pd.DataFrame()
fnl = pd.DataFrame()

wb = load_workbook(f)

for sheet in wb.worksheets:

    if sheet.title == "db1":

        db1 = pd.read_excel(f, "db1")

Obs: I also researched the documentation for reading with pd and some other similar questions in SO, but still could not solve this problem. Ex: Python - how to read path file/folder from server Using Python, how can I access a shared folder on windows network? https://docs.python.org/release/2.5.2/tut/node9.html#SECTION009200000000000000000

Question: What is the proper way to achieve this?

Answer 1

You need to open the file as rb mode

b = bynary file r = only read the file

f = open('//X/str/Db/C/Source/selection/Date/Test/12.xlsx', 'rb')

You can use pandas library that will do most of the work for you

import pandas

import pandas
f = pandas.read_excel(open('//X/str/Db/C/Source/selection/Date/Test/12.xlsx','rb'), sheetname='Sheet 1')
# or using sheet index starting 0
f = pandas.read_excel(open('//X/str/Db/C/Source/selection/Date/Test/12.xlsx','rb'), sheetname=2)

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