AlexKaravaev

/shadow/state/eclipse_board:
  ros__parameters:
    baudrate: 9600
    port: '/dev/ttyTHS1'
      
      
 import launch
import launch.actions
import launch.substitutions
import launch_ros.actions

AlexKaravaev

Keybase proof

I hereby claim:

• I am AlexKaravaev on github.
• I am akaravaev (https://keybase.io/akaravaev) on keybase.
• I have a public key whose fingerprint is BB3B 5BD4 EFF7 CA50 AAB9 D342 BCED BF13 9733 6B59

To claim this, I am signing this object:

AlexKaravaev

custom_style = "mapbox://styles/alex492/cjyil3dry03rl1cqr4mlut05k"

data = []

# Create data for each substance
for subst_name in df.columns[1:-2].tolist():
    
    subst_data = go.Scattermapbox(
                    lat= df['lat'],
                    lon= df['lon'],

AlexKaravaev

# Count mean values for each adress for all dates given
adress_dfs = [df_data for _, df_data in df.groupby('Адрес')]
columns = adress_dfs[0].columns[1:-2].tolist()
df = pd.DataFrame(columns=adress_dfs[0].columns[1:].tolist())
for i in range(len(adress_dfs)):
    row = [adress_dfs[i]['Адрес'].iloc[0]] + adress_dfs[i].describe().loc['mean'].tolist()[:-2] +[adress_dfs[i]['lon'].iloc[0]] +[adress_dfs[i]['lat'].iloc[0]]
    df.loc[i] = row

AlexKaravaev

df['lon'] = df['Адрес'].apply(lambda row: georef[row][0])
df['lat'] = df['Адрес'].apply(lambda row: georef[row][1])

def numberIt(cell):
    if not cell or '*' in cell:
        return None
    tokens = cell.split(' ')
    if ('менее' in tokens):
        return float(tokens[-1])/2
    else:

AlexKaravaev

acess_token = "YOUR_ACCESS_TOKEN"
base_url = 'https://geocode.xyz/{}?json=1&auth={}'
georef = dict.fromkeys(adresses)
    
for adress in adresses:
    search_result = requests.get(base_url.format(adress, acess_token), timeout=None).json()
    pprint(search_result)
    georef.update({adress: [search_result['longt'], search_result['latt']]})

AlexKaravaev

datafiles = [f for f in listdir('./data/') if isfile(join('./data/', f))]
columns = ['Дата', 'Адрес', 'Оксид углерода', 'Оксид азота', 'Диоксид азота', 'Диоксид серы', 'Озон', 'Взвешенные частицы PM10', 'Взвешенные частицы PM2.5']

def addDate(fn):
    df = pd.DataFrame(columns=columns)
    with open(abspath('data/'+fn), 'rb') as f:
        pollution_report = Document(f)

        adr_cnt = 0

AlexKaravaev

import time
import sys
import math
import numpy as np
import gym
from gym_duckietown.envs import DuckietownEnv

# Default environment
env = DuckietownEnv(map_name='udem1', domain_rand = False, draw_bbox = False)

AlexKaravaev

set nocompatible  " be iMproved, required
filetype off  " required
set exrc

set encoding=UTF-8


" See tabs"
set listchars=tab:▸\ ,eol:¬
set rtp+=~/.vim/bundle/Vundle.vim