Stack Overflow Asked by Ram on December 5, 2020
This is supposed to be a simple IF statement that is updating based on a condition but it is not working.
Here is my code
df["Category"].fillna("999", inplace = True)
for index, row in df.iterrows():
if (str(row['Category']).strip()=="11"):
print(str(row['Category']).strip())
df["Category_Description"] = "Agriculture, Forestry, Fishing and Hunting"
elif (str(row['Category']).strip()=="21"):
df["Category_Description"] = "Mining, Quarrying, and Oil and Gas Extraction"
The print statement
print(str(row['Category']).strip())
is working fine but updates to the Category_Description column are not working.
The input data has the following codes
Category Count of Records
48 17845
42 2024
99 1582
23 1058
54 1032
56 990
32 916
33 874
44 695
11 630
53 421
81 395
31 353
49 336
21 171
45 171
52 116
71 108
61 77
51 64
62 54
72 51
92 36
55 35
22 14
The update resulted in
Agriculture, Forestry, Fishing and Hunting 41183
Here is a small sample of the dataset and code on repl.it
https://repl.it/@RamprasadRengan/SimpleIF#main.py
When I run the code above with this data I still see the same issue.
What am I missing here?
I think you want to add a column to the dataframe that maps category to a longer description. As mentioned in the comments, assignment to a column affects the entire column. But if you use a list, each row in the column gets the corresponding value.
So use a dictionary to map name to description, build a list, and assign it.
import pandas as pd
category_map = {
"11":"Agriculture, Forestry, Fishing and Hunting",
"21":"Mining, Quarrying, and Oil and Gas Extraction"}
df = pd.DataFrame([["48", 17845],
[" 11 ", 88888],
["12", 33333],
["21", 999]],
columns=["category", "count of records"])
# cleanup category and add description
df["category"] = df["category"].str.strip()
df["Category_Description"] = [category_map.get(cat, "")
for cat in df["category"]]
# alternately....
#df.insert(2, "Category_Description",
# [category_map.get(cat, "") for cat in df["category"]])
print(df)
Correct answer by tdelaney on December 5, 2020
You are performing a row operation but applying a dataframe change in the "IF" statement. This will apply the values to all the records.
Try sometime like:
def get_category_for_record(rec):
if (str(row['Category']).strip()=="11"):
return "Agriculture, Forestry, Fishing and Hunting"
elif (str(row['Category']).strip()=="21"):
return "Mining, Quarrying, and Oil and Gas Extraction"
df["category"] = df.apply(get_category_for_record, axis = 1)
Answered by Ravan Nannapaneni on December 5, 2020
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