Add_datepart not in 1.0?

aleDL · October 28, 2018, 3:38pm

I can’t find the function add_datepart for tabular data in version 1.0 of fastai, am I missing something?

dhoa · October 28, 2018, 3:55pm

It is not in the library now. You can copy paste it from here : https://github.com/fastai/fastai_docs/blob/master/dev_nb/x_009a_rossman_data_clean.ipynb

aleDL · October 28, 2018, 3:56pm

thanks a lot!

kyle.h · December 20, 2018, 3:40am

That link is 404’d, anyone have an up to date link? This is a very helpful function.

ap014 · December 21, 2018, 5:40pm

github.com

fastai/fastai_old/blob/master/dev_nb/x_009a_rossman_data_clean.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nb_008 import *"
   ]

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andreasl · May 16, 2019, 9:06am

In case anyone is using fastai 1.0, but still need add_datepart and the rest of the helper methods, you can find them all here (with excellent documentation and examples of usage):

github.com

fastai/fastai/blob/master/old/fastai/structured.py

from .imports import *

from sklearn_pandas import DataFrameMapper
from sklearn.preprocessing import LabelEncoder, Imputer, StandardScaler
from pandas.api.types import is_string_dtype, is_numeric_dtype, is_categorical_dtype
from sklearn.ensemble import forest
from sklearn.tree import export_graphviz

def set_plot_sizes(sml, med, big):
    plt.rc('font', size=sml)          # controls default text sizes
    plt.rc('axes', titlesize=sml)     # fontsize of the axes title
    plt.rc('axes', labelsize=med)    # fontsize of the x and y labels
    plt.rc('xtick', labelsize=sml)    # fontsize of the tick labels
    plt.rc('ytick', labelsize=sml)    # fontsize of the tick labels
    plt.rc('legend', fontsize=sml)    # legend fontsize
    plt.rc('figure', titlesize=big)  # fontsize of the figure title

def parallel_trees(m, fn, n_jobs=8):
        return list(ProcessPoolExecutor(n_jobs).map(fn, m.estimators_))

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peterwalkley · May 16, 2019, 9:23am

add_datepart is located in fastai.tabular in fastai 1.0.

howtodowtle · May 17, 2019, 2:35pm

Direct link for those looking: https://github.com/fastai/fastai/blob/master/fastai/tabular/transform.py

himanii · January 20, 2021, 7:12am

I have imported * from fastai.tabular. because fastai.structured was giving me an error. But I am not able use add_datepart.
I got the error saying

add_datepart is not defined

thatgirlginnie · January 21, 2021, 4:12am

I was facing the same issue. It seems like the add_datepart is not available in fastai v1.0. You can copy in the source code or use the older version (v0.7)

himanii · January 22, 2021, 5:31am

No well, I found a solution. It is in the fastai.tabular library itself.
Try importing,

from fastai.tabular.all import *
This shall work

thatgirlginnie · January 22, 2021, 5:57am

thank you so much!