zerebom

def encode_categorical(df, cols):
    
    for col in cols:
        # Leave NaN as it is.
        le = LabelEncoder()
        not_null = df[col][df[col].notnull()]
        df[col] = pd.Series(le.fit_transform(not_null), index=not_null.index)

    return df

zerebom

This repository describe 'SimpleITK' which python module is inheritence by 3D voxel image processing module 'ITK'

zerebom

ゴミ箱を空にする

#ゴミ箱の場所
find ~ -name "Trash"
#ゴミ箱の中身確認
ls -al ~/.local/share/Trash/files
#全部消す
sudo rm -rf ~/.local/share/Trash/files/*
sudo rm -rf ~/.local/share/Trash/info/*

zerebom

[WIP]

zerebom

pandas

time split

test_df = df2[df2['arrival_date'] > datetime.datetime(2017,6,30)].reset_index()
train_df = df2[(df2['arrival_date'] > datetime.datetime(2016,5,30))&(df2['arrival_date'] < datetime.datetime(2016,8,30))].reset_index()

to_timedate

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[WIP]

zerebom

README for team members

この文章は、一緒のチームで仕事をする人に、自分がどんな人間か理解してもらうためのドキュメントです。

性格・強み

Strengths Finder

zerebom

from typing import AsyncIterator

import gradio as gr
from openai import AsyncOpenAI

client = AsyncOpenAI()


async def fetch_gpt_response(
    prompt: str, model: str = "gpt-3.5-turbo"