How to transform entire pandas data frame in one hot representation?
$begingroup$
I want all the columns one hot encoded without the need of listing out the columns or apply one hot encode one by one. I know how to do it one column then another.
scikit-learn pandas dataframe
edited 9 mins ago
Stephen Rauch
1,52551330
asked Mar 12 at 18:21
Ishrak Alaxander HasinIshrak Alaxander Hasin
154
$endgroup$
add a comment |
$begingroup$
I want all the columns one hot encoded without the need of listing out the columns or apply one hot encode one by one. I know how to do it one column then another.
scikit-learn pandas dataframe
edited 9 mins ago
Stephen Rauch
1,52551330
asked Mar 12 at 18:21
Ishrak Alaxander HasinIshrak Alaxander Hasin
154
$endgroup$
add a comment |
$begingroup$
I want all the columns one hot encoded without the need of listing out the columns or apply one hot encode one by one. I know how to do it one column then another.
scikit-learn pandas dataframe
edited 9 mins ago
Stephen Rauch
1,52551330
asked Mar 12 at 18:21
Ishrak Alaxander HasinIshrak Alaxander Hasin
154
$endgroup$
I want all the columns one hot encoded without the need of listing out the columns or apply one hot encode one by one. I know how to do it one column then another.
scikit-learn pandas dataframe
scikit-learn pandas dataframe
edited 9 mins ago
Stephen Rauch
1,52551330
asked Mar 12 at 18:21
Ishrak Alaxander HasinIshrak Alaxander Hasin
154
edited 9 mins ago
Stephen Rauch
1,52551330
asked Mar 12 at 18:21
Ishrak Alaxander HasinIshrak Alaxander Hasin
154
edited 9 mins ago
Stephen Rauch
1,52551330
edited 9 mins ago
Stephen Rauch
1,52551330
edited 9 mins ago
Stephen Rauch
1,52551330
1,52551330
asked Mar 12 at 18:21
Ishrak Alaxander HasinIshrak Alaxander Hasin
154
asked Mar 12 at 18:21
Ishrak Alaxander HasinIshrak Alaxander Hasin
154
asked Mar 12 at 18:21
Ishrak Alaxander HasinIshrak Alaxander Hasin
154
154
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
You can use:: pandas.get_dummies
get_dummies will only convert string columns and will keep numerical columns as it is. You can first convert categorical columns into string type and then apply get_dummies.
concated_dataset['1stFlrSF'] = concated_dataset['1stFlrSF'].astype("string")
pd.get_dummies(cacated_dataset)
edited Mar 12 at 19:09
n1k31t4
6,4362320
answered Mar 12 at 18:29
PreetPreet
4235
$endgroup$
$begingroup$
Yeah then first convert all the columns you want to be one hot encoded into string type and then apply get_dummies on the whole dataframe.
$endgroup$
– Preet
Mar 12 at 19:00
$begingroup$
Thanks a lot that worked.
$endgroup$
– Ishrak Alaxander Hasin
Mar 12 at 19:01
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
You can use:: pandas.get_dummies
get_dummies will only convert string columns and will keep numerical columns as it is. You can first convert categorical columns into string type and then apply get_dummies.
concated_dataset['1stFlrSF'] = concated_dataset['1stFlrSF'].astype("string")
pd.get_dummies(cacated_dataset)
edited Mar 12 at 19:09
n1k31t4
6,4362320
answered Mar 12 at 18:29
PreetPreet
4235
$endgroup$
$begingroup$
Yeah then first convert all the columns you want to be one hot encoded into string type and then apply get_dummies on the whole dataframe.
$endgroup$
– Preet
Mar 12 at 19:00
$begingroup$
Thanks a lot that worked.
$endgroup$
– Ishrak Alaxander Hasin
Mar 12 at 19:01
add a comment |
$begingroup$
You can use:: pandas.get_dummies
get_dummies will only convert string columns and will keep numerical columns as it is. You can first convert categorical columns into string type and then apply get_dummies.
concated_dataset['1stFlrSF'] = concated_dataset['1stFlrSF'].astype("string")
pd.get_dummies(cacated_dataset)
edited Mar 12 at 19:09
n1k31t4
6,4362320
answered Mar 12 at 18:29
PreetPreet
4235
$endgroup$
$begingroup$
Yeah then first convert all the columns you want to be one hot encoded into string type and then apply get_dummies on the whole dataframe.
$endgroup$
– Preet
Mar 12 at 19:00
$begingroup$
Thanks a lot that worked.
$endgroup$
– Ishrak Alaxander Hasin
Mar 12 at 19:01
add a comment |
$begingroup$
You can use:: pandas.get_dummies
get_dummies will only convert string columns and will keep numerical columns as it is. You can first convert categorical columns into string type and then apply get_dummies.
concated_dataset['1stFlrSF'] = concated_dataset['1stFlrSF'].astype("string")
pd.get_dummies(cacated_dataset)
edited Mar 12 at 19:09
n1k31t4
6,4362320
answered Mar 12 at 18:29
PreetPreet
4235
$endgroup$
You can use:: pandas.get_dummies
get_dummies will only convert string columns and will keep numerical columns as it is. You can first convert categorical columns into string type and then apply get_dummies.
concated_dataset['1stFlrSF'] = concated_dataset['1stFlrSF'].astype("string")
pd.get_dummies(cacated_dataset)
edited Mar 12 at 19:09
n1k31t4
6,4362320
answered Mar 12 at 18:29
PreetPreet
4235
edited Mar 12 at 19:09
n1k31t4
6,4362320
edited Mar 12 at 19:09
n1k31t4
6,4362320
edited Mar 12 at 19:09
n1k31t4
6,4362320
6,4362320
answered Mar 12 at 18:29
PreetPreet
4235
answered Mar 12 at 18:29
PreetPreet
4235
answered Mar 12 at 18:29
PreetPreet
4235
4235
$begingroup$
Yeah then first convert all the columns you want to be one hot encoded into string type and then apply get_dummies on the whole dataframe.
$endgroup$
– Preet
Mar 12 at 19:00
$begingroup$
Thanks a lot that worked.
$endgroup$
– Ishrak Alaxander Hasin
Mar 12 at 19:01
add a comment |
$begingroup$
Yeah then first convert all the columns you want to be one hot encoded into string type and then apply get_dummies on the whole dataframe.
$endgroup$
– Preet
Mar 12 at 19:00
$begingroup$
Thanks a lot that worked.
$endgroup$
– Ishrak Alaxander Hasin
Mar 12 at 19:01
$begingroup$
Yeah then first convert all the columns you want to be one hot encoded into string type and then apply get_dummies on the whole dataframe.
$endgroup$
– Preet
Mar 12 at 19:00
$begingroup$
Yeah then first convert all the columns you want to be one hot encoded into string type and then apply get_dummies on the whole dataframe.
$endgroup$
– Preet
Mar 12 at 19:00
$begingroup$
Thanks a lot that worked.
$endgroup$
– Ishrak Alaxander Hasin
Mar 12 at 19:01
$begingroup$
Thanks a lot that worked.
$endgroup$
– Ishrak Alaxander Hasin
Mar 12 at 19:01
add a comment |
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