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Automate Multiple Sheet Excel Reporting - Python Automation Tutorial | Full Code Walk Through (2019 смотреть онлайн

Python Automation Tutorial
In this one we'll cover the basics of how to automate your excel reports. I know I did this video previously, but I felt it was time to redo that one. In this one we'll cover pandas, NumPy, and Matplotlib for creating reports from multiple excel spreadsheets.

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#Python #Automation #Excel

Here's the excel workbooks from this video --
https://drive.google.com/open?id=1x6Zvat5QDszp95zf4PYEYV-vDdhsWS4E

https://drive.google.com/file/d/16YiozndphnyBbdFmJW7VFMr8E6fyH2-r/view?usp=sharing

Here's the full python beginners course to get you started using python-
https://youtu.be/YJ8o-datYkI

Playlists you might consider interesting:
Pandas for beginners
https://www.youtube.com/watch?v=dtuKSYpdcFc&list=PLc_Ps3DdrcTuu4PJB_g3oUn-wpohI_mUh

NumPy Course (Free from Udemy)
https://www.youtube.com/watch?v=9fcTq8PDWWA&list=PLc_Ps3DdrcTuf3e-BBpDv8r9jbOB5Wdv-

Hey Everyone! In this video we're covering the basics of how to automate your multiple sheet excel reporting using python. We'll cover the basics of everything you need to get started using pandas, numpy, matplotlib and python to automate Excel.

There's a lot more in depth stuff about automating excel reporting than what is covered in this video, so subscribe to the channel and I'll have the medium and advanced level videos up soon!

Let me know any feedback or any trips you have for automating excel reporting and I'll be sure to feature you (and the tips) in an upcoming video.

Thanks so much for watching and I hope this video helps you automate excel reporting.

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5100+ subscribers and climbing. Thank you all.

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Full code from the video:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

excel_file_1 = 'shift-data.xlsx'
excel_file_2 = 'third-shift-data.xlsx'

df_first_shift = pd.read_excel(excel_file_1, sheet_name='first')
df_second_shift = pd.read_excel(excel_file_1, sheet_name='second')
df_third_shift = pd.read_excel(excel_file_2)

print(df_first_shift)
print(df_first_shift['Product'])

df_all = pd.concat([df_first_shift, df_second_shift, df_third_shift])
print(df_all)

pivot = df_all.groupby(['Shift']).mean()
shift_productivity = pivot.loc[:,"Production Run Time (Min)":"Products Produced (Units)"]

print(shift_productivity)

#shift_productivity.plot(kind='bar')
#plt.show()

df_all.to_excel("output.xlsx")

https://github.com/Derrick-Sherrill/DerrickSherrill.com/blob/master/AutomateExcelReporting.py

Packages (& Versions) used in this video:

Python 3.7
NumPy 1.17
Pandas 0.15.0
Matplotlib

Mac OS operating system

*****************************************************************
Code from this tutorial and all my others can be found on my GitHub:
https://github.com/Derrick-Sherrill/DerrickSherrill.com

Check out my website:
https://www.derricksherrill.com/

If you liked the video - please hit the like button. It means more than you know. Thanks for watching and thank you for all your support!!

--- Channel FAQ --

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Let me know if there's anything else you want answered!

-------------------------

Always looking for suggestions on what video to make next -- leave me a comment with your project! Happy Coding!

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