Implement CSV to excel script

csv_to_excel/README.md

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+# Script to convert CSV -> excel
+
+Script expect the user to pass path to CSV Or path to directory containing multiple CSV
+and saves the excel file at same dir as provided path
+
+## install requirements/dependencies:
+
+python -r requirements.txt
+
+## how to use:
+
+call the program using:
+`python main.py {filename or directory}`
+
+file example: `python main.py test.csv`
+dir example: `python main.py dirContainingCSVs/`

csv_to_excel/main.py

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+import pandas as pd
+import sys
+import os
+
+args = sys.argv[1:]  # get command line *args
+assert args, "No file/dir was provided"  # raise error is no arg is passed
+
+isdir = os.path.isdir(args[-1])
+
+# If input is CSV file
+if not isdir:
+    assert args[-1].endswith(".csv"), "Input file is not CSV; Provide CSV file"
+    data = pd.read_csv(args[-1])  # load CSV data as Pd object
+    data.to_excel(args[-1][:-4] + ".xlsx", index=None, header=True)
+    del data
+
+# If input is Directory containing multiple csv
+else:
+    try:
+        # remove "/" from end of directory is passed
+        if args[-1][-1] == "/":
+            args[-1] = args[-1][:-1]
+        # create a dir to save the excel datasheet
+        os.mkdir(args[-1] + "_excel")
+    except Exception:
+        pass
+    for filename in os.listdir(args[-1]):
+        if filename.endswith(".csv"):
+            data = pd.read_csv(filename)
+            data.to_excel(
+                args[-1] + "_excel/" + filename[:-4] + ".xlsx"
+            )  # write as excel
+            del data  # delete the pandas DataFrame object
+
+exit(0)

csv_to_excel/requirements.txt

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+pandas==1.3.3
+openpyxl==3.0.9