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pandleau's Introduction

pandleau

A quick and easy way to convert a Pandas DataFrame to a Tableau .tde or .hyper extract.

Getting Started

Prerequisites

Installing

Once installing TableauSDK is done, download this repository, navigate to your downloads file and run the following in cmd:

python -m setup.py install

You can also install pandleau using pip:

pip install pandleau

But note that this will throw a warning to install tableausdk using the above link in Prerequisites.

Example

I grabbed the following Brazil flights data off of kaggle for this example: https://www.kaggle.com/microtang/exploring-brazil-flights-data/data.

import pandas as pd
from pandleau import *

# Import the data
example_df = pd.read_csv(r'example/BrFlights2.csv', encoding = 'iso-8859-1')

# Format dates in pandas
example_df['Partida.Prevista'] = pd.to_datetime(example_df['Partida.Prevista'], format = '%Y-%m-%d')
example_df['Partida.Real'] = pd.to_datetime(example_df['Partida.Real'], format = '%Y-%m-%d')
example_df['Chegada.Prevista'] = pd.to_datetime(example_df['Chegada.Prevista'], format = '%Y-%m-%d')
example_df['Chegada.Real'] = pd.to_datetime(example_df['Chegada.Real'], format = '%Y-%m-%d')

# Set up a spatial column
example_df.loc[:, 'SpatialDest'] = example_df['LongDest'].apply( lambda x: "POINT (" + str( round(x, 6) ) ) + \
	example_df['LatDest'].apply( lambda x: " "+str( round(x, 6) ) + ")" )

# Change to pandleau object
df_tableau = pandleau(example_df)

# Define spatial column
df_tableau.set_spatial('SpatialDest', indicator=True)

# Write .tde or .hyper Extract!
df_tableau.to_tableau('test.hyper', add_index=False)

Authors

Related Project

RTableau Convert R data.frame to Tableau Extract using pandleau

License

This project is licensed under the MIT License - see the LICENSE.md file for details

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