Extract Data from .csv file with Python

Obsolesce

@lakshmana said in Python with Excel Auto Filter and Extract Data:

Whether macros can be used in the .csv files also ?

CSV files are just comma-separated text files, and hold no formatting or macro capabilities.

I haven't looked at Python about this, but I found this for PHP: https://github.com/eaglewu/phpexcel

scottalanmiller

@lakshmana said in Python with Excel Auto Filter and Extract Data:

I am new to Python but need to autofilter the data from the excel sheet according to the Engineer name and Age of the tickets in the excel.

Two things here then are a problem.

It is not an Excel file if it is CSV. So this changes the question completely. It's about CSV files.
You don't do this in Excel, you just use Python.

So the question should be "how to extract data from text file with Python". Extremely different than the question asked.

Lakshmana

@scottalanmiller said in Python with Excel Auto Filter and Extract Data:

@lakshmana said in Python with Excel Auto Filter and Extract Data:

I am new to Python but need to autofilter the data from the excel sheet according to the Engineer name and Age of the tickets in the excel.

Two things here then are a problem.

It is not an Excel file if it is CSV. So this changes the question completely. It's about CSV files.

You don't do this in Excel, you just use Python.

So the question should be "how to extract data from text file with Python". Extremely different than the question asked.

I will try with .csv file and then convert that file into excel by powershell

Romo

@lakshmana said in Extract Data from .csv file with Python:

I am new to Python but need to autofilter the data from the excel sheet according to the Engineer name and Age of the tickets in the excel.I need to filter the data above 15 Days and copy to the another sheet of the excel.Is this possible through Python

It is indeed possible to do with python. You have great libraries built just for data analysis and manipulation for cases like this.

Romo

Now that I have some free time, I'll give you a simple example of some of the things you can do using pandas.

Our dataset will be all the posts in this topic, scraped and saved into an excel file.

DATASET : pandas-test.xslx
alt text

I am going to be using a Jupyter notebook just to make the output clearer.

$ import pandas
$ pandas.read_excel('pandas-test.xlsx')

alt text
That is the whole spreadsheet read and basically printed out, but we can't work with that. We need to read the file into a variable and start working with it.

# Reading the file to variable df
$ df = pandas.read_excel('pandas-test.xlsx')

# Printing how many rows and column in the file (rows,columns)
$ df.shape
(11,4)

# Printing the column names
$ df.columns
Index(['Date', 'Time ', 'User', 'Post'], dtype='object')

Only extracting columns - Date and User

$ df[['Date', 'User']]

alt text

Lets check how many posts per day

$ df.groupby(['Date'])['User'].count()

alt text
Now lets check by day and time

$ df.groupby(['Date', 'Time ']).count()

alt text

Lets filter only your posts and create a new csv file based on the data found.

$ subset = df.loc[df['User']=='Lakshmana']

alt text

Create a csv file only containing your posts

$ subset.to_csv('Lakshmana-posts.csv')

Final results your new csv file with your posts filtered out.

Lakshmana-posts.csv
alt text

EDIT: Just if you need it, an example of filtering by date and user
alt text

Lakshmana

@romo said in Extract Data from .csv file with Python:

Now that I have some free time, I'll give you a simple example of some of the things you can do using pandas.

Our dataset will be all the posts in this topic, scraped and saved into an excel file.

DATASET : pandas-test.xslx

I am going to be using a Jupyter notebook just to make the output clearer.
$ import pandas
$ pandas.read_excel('pandas-test.xlsx')
That is the whole spreadsheet read and basically printed out, but we can't work with that. We need to read the file into a variable and start working with it.
# Reading the file to variable df
$ df = pandas.read_excel('pandas-test.xlsx')

# Printing how many rows and column in the file (rows,columns)
$ df.shape
(11,4)

# Printing the column names
$ df.columns
Index(['Date', 'Time ', 'User', 'Post'], dtype='object')
Only extracting columns - Date and User
$ df[['Date', 'User']]
Lets check how many posts per day
$ df.groupby(['Date'])['User'].count()
Now lets check by day and time
$ df.groupby(['Date', 'Time ']).count()
Lets filter only your posts and create a new csv file based on the data found.
$ subset = df.loc[df['User']=='Lakshmana']
Create a csv file only containing your posts
$ subset.to_csv('Lakshmana-posts.csv')
Final results your new csv file with your posts filtered out.

Lakshmana-posts.csv

EDIT: Just if you need it, an example of filtering by date and user

Good example thanks to making me understand

Lakshmana

@romo said in Extract Data from .csv file with Python:

Printing how many rows and column in the file (rows,columns)

$ df.shape
(11,4)

If i need select the sheet 2 in the Excel means what needs to be done ?

Romo

You have to read the file differently, and then read the sheet you want passing the file object and then the sheet name.

DATASET: pandas-test-xlsx, Sheet - Test-Sheet
alt text

# Read the whole file
$ file = pandas.ExcelFile('pandas-test.xlsx')

# Specify the file and then the sheet you want to work with
$ mysheet = pandas.read_excel(file, 'Test-Sheet')

# Work with the dataframe now contained in the mysheet variable
$ mysheet

alt text

EDIT: Just doubled checked an you can pass the file name as a string to the read_excel function so that would be alot easier.

pandas.read_excel('pandas-test.xlsx', 'Test-Sheet')

Lakshmana

@romo said in Extract Data from .csv file with Python:

@lakshmana said in Extract Data from .csv file with Python:

I am new to Python but need to autofilter the data from the excel sheet according to the Engineer name and Age of the tickets in the excel.I need to filter the data above 15 Days and copy to the another sheet of the excel.Is this possible through Python

It is indeed possible to do with python. You have great libraries built just for data analysis and manipulation for cases like this.

pandas

xlwings

openpyxl

XlsxWriter

All the three package installed in Windows only Pandas not installing I am using Python 3.7

Romo

I usually install Anaconda in windows because I use other things included in it and it is the easiest way of having everything setup for you, but it might really be overkill for you to install it because it is pretty big.

You can also install miniconda and download the required packages from it.

The official documentation marks the above two methods as the easiest for beginners but you can also install it from Pypi. pip install pandas

Lakshmana

@romo said in Extract Data from .csv file with Python:

pip install pandas

raise DistutilsError("Setup script exited with %s" % (v.args[0],))
distutils.errors.DistutilsError: Setup script exited with error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools

Romo

@lakshmana said in Extract Data from .csv file with Python:

@romo said in Extract Data from .csv file with Python:

pip install pandas

raise DistutilsError("Setup script exited with %s" % (v.args[0],))
distutils.errors.DistutilsError: Setup script exited with error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools

Some of the dependencies when installing it with pip are required to be compiled that is why for beginners it is just better to use either Anaconda or miniconda, especially for a Windows install.