The **`read_csv()` function** in pandas helps to read comma-separated values (CSV). It takes multiple arguments. We can simply pass a `filename` to it, provided pandas code and content file are in the same directory. Otherwise, a complete directory with a file name are required such as: `directory\FileName` i.e.`"C:\augmentedReality.csv"`.

#   
## Syntax
```py
import pandas as pd
dataFrame = pd.read_csv("path/filename.csv")
```



#   
## Parameters
There are multiple parameters to this function. The following are some of the frequently used parameters. 
> Check out [this link](https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html#pandas-read-csv) for the complete documentation.
* **`filepath/buffer`**:
A valid path or a URL, but should follow a valid URL schema, i.e., HTTP, FTP, file, etc.
* **`sep`**: string, default (,).
* **`delimiter`**: string, default (none).
* **`header`**: int, list of int, default (first row as column names).
* **`names`**: array (contains column names), optional.









#   
## Return value
`read.csv()` returns either a `DataFrame` or a `TextParser`. A `CSV` file will be turned into a 2D data structure with labeled columns. If `names` is supplied, labels will be as mentioned.


age,bought_insurance
22,0
25,0
47,1
52,0
46,1
56,1
55,0
60,1
62,1

#Pandas read_csv() function
import pandas as pd
df = pd.read_csv("File.csv")
print(df) #Print File.csv data  on console


What is read_csv in pandas?

The read_csv() function in pandas reads CSV files into DataFrames with various customizable parameters.

What is read_csv in pandas?

Syntax

Parameters

Return value

Code