I have a dataset and added a new column called VendorQuality and have good and bad. Below is my code; but I can't seem to get it to pull the data correctly. It just pulls "bad" all the way down. I'm not sure what I'm doing wrong. Do I need to add .loc somewhere else? df_data["VendorQuality"] = "Bad" df_data.loc[(df_data["hasroads"] == "yes") & (df_data["AreaOfExpertise"] == "High Capacity"), "VendorQuality"] = "Good" df_data.loc[(df_data["hasroads"] == "yes") & (df_data["haseasement"] == "yes") & (df_data["AreaOfExpertise"] == "High Efficiency"), "VendorQuality"] = "Good" print(df_data["VendorQuality"])
I have a dataset and added a new column called VendorQuality and have good and bad. Below is my code; but I can't seem to get it to pull the data correctly. It just pulls "bad" all the way down. I'm not sure what I'm doing wrong. Do I need to add .loc somewhere else? df_data["VendorQuality"] = "Bad" df_data.loc[(df_data["hasroads"] == "yes") & (df_data["AreaOfExpertise"] == "High Capacity"), "VendorQuality"] = "Good" df_data.loc[(df_data["hasroads"] == "yes") & (df_data["haseasement"] == "yes") & (df_data["AreaOfExpertise"] == "High Efficiency"), "VendorQuality"] = "Good" print(df_data["VendorQuality"])
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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I have a dataset and added a new column called VendorQuality and have good and bad. Below is my code; but I can't seem to get it to pull the data correctly. It just pulls "bad" all the way down. I'm not sure what I'm doing wrong. Do I need to add .loc somewhere else?
df_data["VendorQuality"] = "Bad"
df_data.loc[(df_data["hasroads"] == "yes") & (df_data["AreaOfExpertise"] == "High Capacity"), "VendorQuality"] = "Good"
df_data.loc[(df_data["hasroads"] == "yes") & (df_data["haseasement"] == "yes") & (df_data["AreaOfExpertise"] == "High Efficiency"), "VendorQuality"] = "Good"
print(df_data["VendorQuality"])
Subject: Python Programming
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