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:
/shadow/state/eclipse_board: | |
ros__parameters: | |
baudrate: 9600 | |
port: '/dev/ttyTHS1' | |
import launch | |
import launch.actions | |
import launch.substitutions | |
import launch_ros.actions |
I hereby claim:
To claim this, I am signing this object:
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'], |
# 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 |
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: |
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']]}) |
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 |
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) |
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 |