how to get specific columns in pandas code example

Example 1: 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 rows

Example 2: python - subset specific columns name in a dataframe

columns = ['b', 'c']
df1 = pd.DataFrame(df, columns=columns)

Example 3: python: select specific columns in a data frame

df = df[["Column_Name1", "Column_Name2"]]

Example 4: pandas iloc select certain columns

dataframe.iloc[:,[1,2]]

Example 5: 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']])

Example 6: selecting items in a column of a dataframe

df.loc[df['column_name'] == some_value]