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I have to extract all the rows in a .csv corresponding to the rows with 'watermelon' throu

Time:09-22

I am using this code. but instead of new with just the required rows, I'm getting an empty .csv with just the header.

import pandas as pd
df = pd.read_csv("E:/Mac&cheese.csv")
newdf = df[df["fruit"]=="watermelon" "*"]
newdf.to_csv("E:/Mac&cheese(2).csv",index=False)

CodePudding user response:

missing the underscore in pd.read_csv on first call, also it looks like the actual location is incorrect. missing the // in the file location.

CodePudding user response:

I believe the problem is in how you select the rows containing the word "watermelon". Instead of:

newdf = df[df["fruit"]=="watermelon" "*"]

Try:

newdf = df[df["fruit"].str.contains("watermelon")]

In your example, pandas is literally looking for cells containing the word "watermelon*".

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