pandas select specific columns 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: 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
Example 4: python: select specific columns in a data frame
df = df[["Column_Name1", "Column_Name2"]]
Example 5: select columns pandas
df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.