python extract specific columns from pandas dataframe
# Basic syntax:
new_dataframe = dataframe.filter(['col_name_1', 'col_name_2'])
# Where the new_dataframe will only have the column names specified
# Note, use df.filter(['names', ... ], axis=0] to select rowspython - 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"]]pandas iloc select certain columns
dataframe.iloc[:,[1,2]]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']])select subset of columns from dataframe
In [25]: titanic.iloc[9:25, 2:5]
Out[25]:
Pclass Name Sex
9 2 Nasser, Mrs. Nicholas (Adele Achem) female
10 3 Sandstrom, Miss. Marguerite Rut female
11 1 Bonnell, Miss. Elizabeth female
12 3 Saundercock, Mr. William Henry male
13 3 Andersson, Mr. Anders Johan male
.. ... ... ...
20 2 Fynney, Mr. Joseph J male
21 2 Beesley, Mr. Lawrence male
22 3 McGowan, Miss. Anna "Annie" female
23 1 Sloper, Mr. William Thompson male
24 3 Palsson, Miss. Torborg Danira female
[16 rows x 3 columns]Copyright © 2021 Codeinu
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