Advanced Excel Filtering Across Workbooks Tutorial - Excel Automation with Python Series

How to integrate excel workbooks and filter values across them using logical statements, loc method, and boolean series.

We'll cover:
- pandas merge
- pandas isin method
- python logical statements

Here's the spreadsheets if you want to use them yourself:
workbook_1.xlsx:
drive.google.com/open?id=1VIKlBY_Ql10Fd9EtLC3WS…
workbook_2.xlsx:
drive.google.com/open?id=1yaYREor6-Ij2NSe2XuLhJ…

#Python #Tutorial #ExcelAutomationWithPython
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Full code from the video:

import pandas as pd

# denote spreadsheets
excel_file_1 = 'Workbook_1.xlsx'
excel_file_2 = 'Workbook_2.xlsx'

#read in spreadsheets
df1 = pd.read_excel(excel_file_1)
df2 = pd.read_excel(excel_file_2)

#print columns
print(df1.columns)
print(df2.columns)

# Filter by conditions

print((df1['Name'].isin(df2['Name'])))

filtered_frame_1 = df1.loc[(df1['Name'].isin(df2['Name']))] # Based on another sheet

filtered_frame_2 = df1.loc[~(df1['Name'].isin(df2['Name']))] # Inverse

filtered_frame_3 = df1.loc[(df1['Name'].isin(df2['Name'])) & (df1['Interview Score'] == 4) | (df1['YR Experience'] == 3)] # Multiple Filters

all_frames = [df1, df2]
all_df = pd.merge(df1, df2, on='Name')
print(all_df)

filtered_frame_4 = all_df.loc[(all_df['YR Experience'] == 5) & (all_df['Group Interview Score'] == 4)]
print(filtered_frame_4)



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

Check out my website:
derricksherrill.com/

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