18 lines
553 B
Python
18 lines
553 B
Python
|
|
import pandas as pd
|
||
|
|
|
||
|
|
FILE = "~/Downloads/woodmac-learners.csv"
|
||
|
|
|
||
|
|
|
||
|
|
df = pd.read_csv(FILE)
|
||
|
|
df[["Email", "Domain"]] = df["Email"].str.split("@", expand=True)
|
||
|
|
non_woodmac = df[df["Domain"] != "woodmac.com"]
|
||
|
|
print("All Non WoodMac Domains Status (Combined Domains)")
|
||
|
|
not_wm_status = non_woodmac.value_counts(subset=["Status"]).sort_index()
|
||
|
|
print(not_wm_status)
|
||
|
|
|
||
|
|
print("WoodMac Domain Only Status")
|
||
|
|
filter_woodmac = df[df["Domain"] == "woodmac.com"]
|
||
|
|
woodmac_status = filter_woodmac.value_counts(subset=["Domain", "Status"]).sort_index()
|
||
|
|
print(woodmac_status)
|
||
|
|
|