convert non unique values for each column to null pandas

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emmanuel adeitan answered on October 11, 2022 Popularity 3/10 Helpfulness 1/10

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answer convert non unique values for each column to null pandas

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convert non unique values for each column to null pandas

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Tip Emmanuel adeitan 1 GREPCC

1.for col in df:
    print(df[col].unique())
    
2.df.to_csv('db.csv')

3.# Making a list of missing value types
missing_values = ["{''}", "...", "unknown", "'GTB (Habari)"]
df = pd.read_csv("db.csv", na_values = missing_values)

4.df.isna().sum()

xxxxxxxxxx

1.for col in df:

    print(df[col].unique())

2.df.to_csv('db.csv')

3.# Making a list of missing value types

missing_values = ["{''}", "...", "unknown", "'GTB (Habari)"]

df = pd.read_csv("db.csv", na_values = missing_values)

4.df.isna().sum()

Popularity 3/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: each null pandas python unique-values

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emmanuel adeitan

Contributed on Oct 11 2022

emmanuel adeitan

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