How To Select Multiple Columns In Pandas Dataframe
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How To Select Multiple Columns In Pandas Dataframe
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Display All Pandas DataFrame Columns In Jupyter Notebook
There are three basic methods you can use to select multiple columns of a pandas DataFrame Method 1 Select Columns by Index df new df iloc 0 1 3 Method 2 Select Columns in Index Range df new df iloc 0 3 Method 3 Select Columns by Name df new df col1 col2 When using loc / iloc, the part before the comma is the rows you want, and the part after the comma is the columns you want to select. When using the column names, row labels or a condition expression, use the loc operator in front of the selection brackets []. For both the part before and after the comma, you can use a single label, a list of .
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How To Select Multiple Columns In Pandas Dataframe# Selecting Multiple Columns in a Pandas DataFrame selection = df[['Name', 'Age', 'Height']] print(selection) # Returns: # Name Age Height # 0 Joe 28 5'9 # 1 Melissa 26 5'5 # 2 Nik 31 5'11 # 3 Andrea 33 5'6 # 4 Jane 32 5'8 To use iloc you need to know the column positions or indices As the column positions may change instead of hard coding indices you can use iloc along with get loc function of columns method of dataframe object to obtain column indices df columns get loc c c for idx c in enumerate df columns
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