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pandas categorical to numeric

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Captainspockears answered on September 3, 2020 Popularity 10/10 Helpfulness 4/10

answer pandas categorical to numeric

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pandas categorical to numeric

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#this will label as one hot vectors (origin is split into 3 columns - USA, Europe, Japan and any one place will be 1 while the others are 0)
dataset['Origin'] = dataset['Origin'].map({1: 'USA', 2: 'Europe', 3: 'Japan'})

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Source: www.tensorflow.org

Tags: categorical numeric pandas python

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Contributed on Sep 03 2020

Captainspockears

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convert categorical data type to int in pandas

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from sklearn import preprocessing

lab_encoder = preprocessing.LabelEncoder()
df['column'] = lab_encoder.fit_transform(df['column'])

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Source: Grepper

Tags: categorical-data cate

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Contributed on Nov 09 2021

Stupid Snake

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panda categorical data into numerica

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sex = train_dataset['Sex'].replace(['female','male'],[0,1])
print(sex)

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Source: Grepper

Tags: categorical-data cate

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Contributed on Mar 04 2021

Black Buzzard

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convert column from categorical to numeric in pandas

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df = pd.get_dummies(df, drop_first = True, columns=['target_column'])

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Source: Grepper

Tags: categorical nume

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Contributed on Aug 14 2023

Wissam

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convert categorical variable to numeric pandas

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import pandas as pd

# Assuming the categorical variable is in a DataFrame 'df' and column name is 'category'
df['category_numeric'] = pd.Categorical(df['category']).codes

# Print the updated DataFrame
print(df)

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Source: Grepper

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Contributed on Sep 12 2023

YOU.com

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how to convert categorical value to numerical value in pandas using replace

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import pandas as pd

# Example DataFrame with a 'smoker' column containing 'yes' and 'no'
data = {'smoker': ['yes', 'no', 'no', 'yes', 'yes', 'no']}
df = pd.DataFrame(data)

# Using the replace method to convert 'yes' to 1 and 'no' to 0
df['smoker_encoded'] = df['smoker'].replace({'yes': 1, 'no': 0})
print(df)

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Source: chat.openai.com

Tags: categorical numerical

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Contributed on Aug 04 2023

Gulsaba Fiha

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pandas categorical to numeric

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convert categorical variable to numeric pandas

how to convert categorical value to numerical value in pandas using replace

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