Answers for "pandas select columns by name"

3

python - subset specific columns name in a dataframe

columns = ['b', 'c']
df1 = pd.DataFrame(df, columns=columns)
Posted by: Guest on October-20-2020
6

python: select specific columns in a data frame

df = df[["Column_Name1", "Column_Name2"]]
Posted by: Guest on June-24-2020
1

how to pick out separate columns from the pandas dataframe object

df1 = df.iloc[:, 0:2] # If you want to do it by index. Remember that Python does not slice inclusive of the ending index.
df1 = df[['a', 'b']] ## if you want to do it b nae
Posted by: Guest on October-21-2020
1

pandas iloc select certain columns

dataframe.iloc[:,[1,2]]
Posted by: Guest on July-08-2020
2

pandas reorder columns by name

#old df columns
df.columns
Index(['A', 'B', 'C', 'D'],dtype='***')
#new column format that we want to rearange
new_col = ['D','C','B','A'] #list of column name in order that we want

df = df[new_col]
df.columns
Index(['D', 'C', 'B', 'A'],dtype='***')
#new column order
Posted by: Guest on October-23-2020
7

select columns pandas

df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.
Posted by: Guest on April-02-2020

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