gaspersic/freeCodeCamp
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

add two white spaces (#22345)

Browse Source 
* add two white spaces

* Fixed formatting and grammar issues
This commit is contained in:
Sayali
2018-11-14 07:35:37 +05:30
committed by Manish Giri
parent c7e5112f35
commit 2bed4878b8
1 changed files with 3 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
guide/english/data-science-tools/pandas/index.md
View File

@ -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: