read_clipboard() to read data from clipboard and store in a Pandas DataFrame

import pandas as pd 
df = pd.read_clipboard() # reading from your clipboard 
print(df)

Visit this Page about DataFrame and copy the first output table using your mouse.
After copying just run the above code.

Output is here ( This depends on what you have copied.)

   NAME  ID  MATH  ENGLISH
0  Ravi   1    30       20
1  Raju   2    40       30
2  Alex   3    50       40

read_clipboard(): Read the clipboad data and create DataFrame #B12

Parameters

sep : By default space is used as separator, we can specify any string or regex delimiter.
engine : Change the default engine if you are getting this error.

ParserWarning: Falling back to the 'python' engine because the separator encoded in utf-8 is > 1 char long, and the 'c' engine does not support such separators; you can avoid this warning by specifying engine='python'

Using sep and engine

To copy Functions with Descripitions from the PHP manual here we have to use different delimiter as space is not used here.

df=pd.read_clipboard(sep='—',engine='python')

Storing data in CSV or Excel file

We can store the output in csv file by using to_csv() or by using Excel file.

import pandas as pd 
df = pd.read_clipboard()
print(df) 
df.to_csv('D:\my_clipboard.csv')# path with file name to store

Next time by using your mouse select data in any web page ( url ) or excel file or any other Tabular data. Run the above code and take your CSV or Excel file from D drive ( or location of your choice ) .

Use the above code to create one Excel file having all the PHP String functions with description as given in PHP manual.

Creating HTML page by using to_html()

We can use the clipboard data to create HTML tables and save the file as web page or in .html format by using to_html(). Here is the code.

import pandas as pd 

df = pd.read_clipboard()
print(df)
df.to_html('D:\my_html.html') # change the path to store

The above code will create my_html.html file at D Drive ( change the location if you want ) . The source code of this file is here

<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>NAME</th>
      <th>ID</th>
      <th>MATH</th>
      <th>ENGLISH</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Ravi</td>
      <td>1</td>
      <td>30</td>
      <td>20</td>
    </tr>
    <tr>
      <th>1</th>
      <td>Raju</td>
      <td>2</td>
      <td>40</td>
      <td>30</td>
    </tr>
    <tr>
      <th>2</th>
      <td>Alex</td>
      <td>3</td>
      <td>50</td>
      <td>40</td>
    </tr>
  </tbody>
</table>

Python Pandas reading data from Clipboard and create DataFrame by using read_clipboard()

read_csv()

Data input and output from Pandas DataFrame
Pandas to_clipboard() read_excel() to_csv() to_excel()

Numpy arrays Python & MySQL Python- Tutorials

Subhendu Mohapatra

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read_clipboard() Read Clipboard data to create DataFrame

Parameters

Using sep and engine

Storing data in CSV or Excel file

Creating HTML page by using to_html()

Subhendu Mohapatra