python - subset specific columns name in a dataframe
columns = ['b', 'c']
df1 = pd.DataFrame(df, columns=columns)
python - subset specific columns name in a dataframe
columns = ['b', 'c']
df1 = pd.DataFrame(df, columns=columns)
python: select specific columns in a data frame
df = df[["Column_Name1", "Column_Name2"]]
select columns pandas
df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.
select specific column names from dataframe
import pandas
data = pandas.DataFrame({'A' : ['X', 'Y'],
'B' : 1,
'C' : [2, 3]})
print data[['A', 'B']]
# Output A B
# 0 X 1
# 1 Y 1
how to get only certain columns in pandas
#only the column names specified will be put into the new sub df
#enter a minimum of one column name
print(df[['column_name_1', 'column_name_2', ... , 'column_name_n']])
dataframe select columns based on list
df.filter(lst)
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