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Collecting matplotlib==3.4.2 | |
Downloading matplotlib-3.4.2.tar.gz (37.3 MB) | |
|████████████████████████████████| 37.3 MB 907 kB/s | |
ERROR: Command errored out with exit status 1: | |
command: /Users/sb/venvs/loambioweb/bin/python3 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/private/var/folders/qz/kww4c4nx2q71dzf_gzmp3bkc0000gn/T/pip-install-d40pdmke/matplotlib/setup.py'"'"'; __file__='"'"'/private/var/folders/qz/kww4c4nx2q71dzf_gzmp3bkc0000gn/T/pip-install-d40pdmke/matplotlib/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base /private/var/folders/qz/kww4c4nx2q71dzf_gzmp3bkc0000gn/T/pip-pip-egg-info-b8dja3m9 | |
cwd: /private/var/folders/qz/kww4c4nx2q71dzf_gzmp3bkc0000gn/T/pip-install-d40pdmke/matplotlib/ | |
Complete output (1350 lines): | |
ERROR: Command errored out with exit status 1: | |
command: /Users/sb/venvs/loambioweb/bin/pytho |
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def get_user_input(options): | |
user_input = '' | |
while user_input not in options and user_input != 'quit': | |
user_input = input("Enter your option (or 'quit' to exit): ") | |
return user_input |
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import requests | |
import json | |
import time | |
APIKEY = 'INSERT YOUR KEY HERE' | |
# NExt channelID is for https://www.youtube.com/c/A24com | |
CHANNELID = 'UCR9120YBAqMfntqgRTKmkjQ' | |
URL = f'https://www.googleapis.com/youtube/v3/search?key={APIKEY}&channelId={CHANNELID}&part=snippet,id&order=date&maxResults=50' |
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{ | |
"Comment": "XXX", | |
"StartAt": "qc1", | |
"States": { | |
"qc1": { | |
"Type": "Task", | |
"Resource": "arn:aws:states:::batch:submitJob.sync", | |
"Parameters": { | |
"JobDefinition": "XXXX:1", |
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Oh, yeah, I don't see the differences in the debate on those if I don't raise the perimeter, if it is almost ever since they took office and only said so important is a system we communicate better single frequency when they debate on those countries. | |
For him, blueprint important. | |
This revolution impact on those are only Tracinda, only a print on oppression. | |
Yet as impreMedia in Canberra, this revolution picture parameters you permitted measure versatility and also the important, the practical look at the rapidly changing debate on those Edris in the opening the parenthesis Cantina Thallon War Emblem. | |
I got the name of Springhill Award in the parentheses see unallocated solamente converted into a patent trace component apparently. | |
Shut up. | |
They don't differentiate I potable water and whatnot. | |
Also going up. | |
I don't raise. | |
When will FEMA will print the solar panel parameter KAITUMA? |
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from itertools import product | |
# Chenage AA number here: | |
repeat = 7 | |
# pepgen | |
aas = ('ALA', 'ARG', 'ASN', 'ASP', 'CYS', 'GLN', 'GLU', 'GLY', | |
'HIS', 'ILE', 'LEU', 'LYS', 'MET', 'PHE', 'PRO', 'SER', | |
'THR', 'TRP', 'TYR', 'VAL') |
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import time | |
from glob import glob | |
import uuid | |
import json | |
import requests | |
import boto3 | |
FILE_TYPE = 'mp4' | |
LANGUAGE_CODE='es-ES' |
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import numpy as np | |
from pandas import read_csv | |
import holoviews as hv | |
from holoviews import opts | |
hv.extension('bokeh') | |
DATA_FILE = 'samples/GSM188012.CEL' | |
dtype = {'x': int, 'y': int, 'lux': float} | |
ds = read_csv(DATA_FILE, sep='\t', dtype=dtype) | |
heatmap = hv.HeatMap(ds).aggregate(function=np.mean) |
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from bokeh.charts import Scatter, output_file, show | |
from pandas import DataFrame | |
df = DataFrame.from_csv('../../samples/fishdata.csv') | |
scatter = Scatter(df, x='PC1', y='PC2', color='feeds', | |
marker='species', title= | |
'Metabolic variations based on 1H NMR profiling of fishes', | |
xlabel='Principal Component 1: 35.8%', | |
ylabel='Principal Component 2: 15.1%') |
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from bokeh.plotting import figure, show | |
from pandas import read_csv | |
from bokeh.models.markers import marker_types | |
from bokeh.transform import factor_cmap, factor_mark | |
df = read_csv('samples/fishdata.csv') | |
all_markers = [mt for mt in marker_types] | |
SPECIES = list(set(df['species'])) | |
MARKERS = all_markers[:len(SPECIES)] |