This is the begging of a series to share simple and short lines of code in Python that helped me to automate my work.
Scenario: You have monthly sales reports for the year 2021, and your need to put them all in one file to create a yearly report and generate simple statistics. How can we do that?
- All files must have the same set of columns (same name, spelling, and number)
- Have all files in one folder
- All files must have the same extension (either .xlsx, .cvs)
- Any version of Python - mine is 7.29.0.
- You will need the below libraries:
First, install the above libraries if you do not have them installed already. You can use the below commands and tweak them depending on the IDE you use, I use Spyder.
pip install pandas
pip install os
pip install glob
Importing the files
1. Set up the path
path = r'C:/Folder Name'
2. Get the list of files
This will get for us the names of all the excel/csv files in the particular folder we specified in the path.
file_list = glob.glob(path + "/*.xlsx")
Just change .xlsx to .csv throughout the code and it will work the same.
3. Importing the files
This is a for loop that will go through each file we got in the file_list, read it as a data frame, and put it inside a list of data frames by appending it to the list.
excel_list = 
for file in file_list:
Merging the files into one
1. Concatenating the files into one data frame
excel_merged = pd.concat(excel_list, ignore_index=True)
2. Export the file to the same path
excel_merged.to_excel(path+'/All Lists.xlsx', index=False)
Create summary and basic statists
Get all columns in the data
Generate a general summary of the data
This will give stats of all numeric columns (mean, medium, STD, count, max, min, etc.)
You can use the below to get stats on a certain numeric column
Get stats group by certain month
This will show us statistics on sales per month - it is a good indicator to see if we have peaks or low sales in certain months.
Plot the data
f, ax = plt.subplots()
ax.set(title="Plot of Sales per Month")
In case a file was missing ensure that the file is in the file_list, and it has the same extension and is in the folder.
If you have more columns than the original lists -this means there is a file with either extra columns or does not have the same spelling.
Throughout the codes, just change the path from .xlsx to .csv and it will work the same.
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