You can use the print() method to print the dataframe in a table format. You can convert the dataframe to String using the to_string() method and pass it to the print method which will print the dataframe.
There's a better way. It's called PyArrow — an amazing Python binding for the Apache Arrow project. It introduces faster data read/write times and doesn't otherwise interfere with your data analysis pipeline. It's the best of both worlds, as you can still use Pandas for further calculations.
I've just found a great tool for that need, it is called tabulate.
It prints tabular data and works with DataFrame
.
from tabulate import tabulate
import pandas as pd
df = pd.DataFrame({'col_two' : [0.0001, 1e-005 , 1e-006, 1e-007],
'column_3' : ['ABCD', 'ABCD', 'long string', 'ABCD']})
print(tabulate(df, headers='keys', tablefmt='psql'))
+----+-----------+-------------+
| | col_two | column_3 |
|----+-----------+-------------|
| 0 | 0.0001 | ABCD |
| 1 | 1e-05 | ABCD |
| 2 | 1e-06 | long string |
| 3 | 1e-07 | ABCD |
+----+-----------+-------------+
Note:
To suppress row indices for all types of data, pass
showindex="never"
orshowindex=False
.
If you want an inbuilt function to dump your data into some github markdown, you now have one. Take a look at to_markdown
:
df = pd.DataFrame({"A": [1, 2, 3], "B": [1, 2, 3]}, index=['a', 'a', 'b'])
print(df.to_markdown())
| | A | B |
|:---|----:|----:|
| a | 1 | 1 |
| a | 2 | 2 |
| b | 3 | 3 |
Here's what that looks like on github:
Note that you will still need to have the tabulate
package installed.
A simple approach is to output as html, which pandas does out of the box:
df.to_html('temp.html')
If you are in Jupyter notebook, you could run the following code to interactively display the dataframe in a well formatted table.
This answer builds on the to_html('temp.html') answer above, but instead of creating a file displays the well formatted table directly in the notebook:
from IPython.display import display, HTML
display(HTML(df.to_html()))
Credit for this code due to example at: Show DataFrame as table in iPython Notebook
You can use prettytable to render the table as text. The trick is to convert the data_frame to an in-memory csv file and have prettytable read it. Here's the code:
from StringIO import StringIO
import prettytable
output = StringIO()
data_frame.to_csv(output)
output.seek(0)
pt = prettytable.from_csv(output)
print pt
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