data-science
A set of useful functions for day-to-day python datascience project.
Description
A few modules who work together to automatize some routine meet each day on a jr_data_science project.
- decouverte.py :
Some functions to find informations around the files you are given. You would find here some functions about paths, cleaning paths, and header extracts.
- extra_pandas.py :
Never dreamed of a panda function able to convert anykind of time-encoded column ? Well, I didn't do it :-/ but I collected a rather long list of type of string I found on my way, and put it on one bigger-and-bigger convert-date columns ;)
- useful_functions.py:
How to get all the csvs under a dir ? How to compile a multi-worksheet excel file into one big csv ? Here you have some tool to do so !
import pandas as pd import os from collections import Counter import numpy as np;
import seaborn as sns; import matplotlib.dates as mdates import random from functools import reduce
np.random.seed(0) sns.set() %matplotlib inline sns.set_style("white") sns.set_palette("husl")
1 maintainer
Metadata
1 maintainer
Release files for jr-data-science 0.1.31
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Source distribution (sdist)
| File | Size | Uploaded | |
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| jr_data_science-0.1.31.tar.gz | 1.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jr_data_science-0.1.31-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.4 kB
Release files / jr_data_science-0.1.31.tar.gz
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| Size | 1.7 kB |
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Release files / jr_data_science-0.1.31-py3-none-any.whl
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| Tags | Python 3 |
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