diff --git a/guide/english/data-science-tools/pandas/index.md b/guide/english/data-science-tools/pandas/index.md
index 9192fcda7f..10604a0975 100644
--- a/guide/english/data-science-tools/pandas/index.md
+++ b/guide/english/data-science-tools/pandas/index.md
@@ -61,12 +61,19 @@ A data frame can be subset in many ways. One of the simplest is getting a single
 ```python
 ages = df["age"]
 ```
+This will return what's called a pandas series. 
+
+We can also extract a list of columns from the data frame. For instance, if the data frame contains columns `name`, `age` and `address`, we can get the `name` and `age` as follows:
+```python
+details = df[["name", "age"]]
+```
+This will return a data frame only, and not a series.
+
 Another option for subsetting a dataframe is using the loc and iloc methods. The difference between loc and iloc is that loc searches based on a label and iloc searches based on the integer value of a row or column. To perform the same indexing as the above example using loc:
 ```python
-ages=df.loc["age"]
+ages = df.loc["age"]
 ```
 
-
 #### More Information:
 1. [pandas](http://pandas.pydata.org/)
 2. [read_csv](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html?highlight=read_csv#pandas.read_csv)