From 2bed4878b86666e4a9dd947274d94a1ac8a7645e Mon Sep 17 00:00:00 2001
From: Sayali <40224101+sayaliKutwal@users.noreply.github.com>
Date: Wed, 14 Nov 2018 07:35:37 +0530
Subject: [PATCH] add two white spaces (#22345)

* add two white spaces

* Fixed formatting and grammar issues
---
 guide/english/data-science-tools/pandas/index.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/guide/english/data-science-tools/pandas/index.md b/guide/english/data-science-tools/pandas/index.md
index 6dea817911..41273443a1 100644
--- a/guide/english/data-science-tools/pandas/index.md
+++ b/guide/english/data-science-tools/pandas/index.md
@@ -14,9 +14,10 @@ import pandas as pd
 ```
 
 ## Data frames
-A data frame consist of a number of rows and column. Each column represents a feature of the data set, and so has a name and a data type. Each row represents a data point through associated feature values. The pandas library allows you to manipulate the data in a data frame in various ways. pandas has a lot of possibilities, so the following is merely scratching the surface to give a feel for the library.
+A data frame consists of a number of rows and columns. Each column represents a feature of the data set, and so, has a name and a data type. Each row represents a data point through associated feature values. The pandas library allows you to manipulate the data in a data frame in various ways. pandas has a lot of possibilities, so the following is merely scratching the surface to give you a feel for the library.
+
 ## Series
-Series is the basic data-type in pandas.A Series is very similar to a array (NumPy array) (in fact it is built on top of the NumPy array object).A Series can have axis labels, as it can be indexed by a label with no number indexing for the location of data.  It can hold any valid Python Object like List,Dictionary etc.
+Series is the basic data-type in pandas. A Series is very similar to an array (NumPy array, in fact it is built on top of the NumPy array object). A Series can have axis labels, as it can be indexed by a label with no number indexing for the location of data. It can hold any valid Python Object like List, Dictionary etc.
 
 ## Loading data from a csv file
 A `.csv` file is a *comma separated value* file. A very common way to store data. To load such data into a pandas data frame use the `read_csv` method: