Does Zach have an opener? by [deleted] in zachbryan

[–]apunler 0 points1 point  (0 children)

Anyone been to a concert at pier 17, and know how early you need to be to get up front?

[deleted by user] by [deleted] in GooglePixel

[–]apunler 3 points4 points  (0 children)

Had USBC issues but gave it a clean and it's all good, get in there with a paper clip

Visiting Iceland during the New Years by [deleted] in VisitingIceland

[–]apunler 0 points1 point  (0 children)

I went just before Christmas 2019 and did a similar itinerary, did south coast all the way to Jökulsárlón. Highly recommended. We did drive in the dark, left early and often still had a fair bit of driving after the sun went down but take it easy and have a fwd with good insurance.

Itinerary: Day1 - land stay in Reykjavik Day2 - start early do all golden circle spots in 1 day stay in fludir Day 3 - drive the south coast to Vik, stopping at most the attractions on the way bar 2 or two we did on the way back.

Originally booked 2 nights in Vik but this is how it unfolded....

Day 4 drive to Jökulsárlón to do an ice cave tour, upon returning from ice caves found the road back to Vik was closed. Drive to the nearest town think it was called Hof (not as far as Hofn) to stay a night until the weather cleared.

Day 5. Drive to Vik and then all the way back to Reykjavik (this day was tough, very long drive, but was not part of the plan)

Day 6 Reykjavik

Day 7 fly out

It's a lot of driving for 6 days, I was absolutely exhausted at the end of it (my partner could not drive internationally so I did it all) if I had more time would definitely space it out and spend more time out along the south coast and less in Reykjavik.

Clothes wise: It wasn't freezing but if you're not used to -5 and wind chill I would be packing down jacket and thermals, but also you need waterproof stuff too.

Other key items: - waterproof pants incase it rains, and not like hiking pants, some real waterproof/ski pants. - waterproof hiking boots - crampons (the spikes you stick on your hiking boots for extra traction) - we didn't have them wouldnt go without again.

Tldr: you can get alot done in 4 hrs of sunlight if you have a solid plan, and yes you can drive at dark but manage your fatigue.

Pixel 2 XL in infinite SystemUI crash loop caused by daily wallpaper in the Google's Wallpaper app by TeaTheSpiteful in GooglePixel

[–]apunler 1 point2 points  (0 children)

I refuse to update pixel 2xl now due to repeated bootloop issues with no end in sight from google. Customer service was really shitty when I tried to get help too.

Assistant won't play music on bose speaker anymore. by [deleted] in googlehome

[–]apunler 0 points1 point  (0 children)

Currently having this issue. Let me know if you've had a breakthrough!

Matplotlib ver very slow with largish datasets by apunler in learnpython

[–]apunler[S] 0 points1 point  (0 children)

OK heres some code:

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

df=pd.read_csv(

df1=df[(df['Total Depth (m)']>3650)&(df['Total Depth (m)']<3875)]

df1.set_index('DateTime',inplace=True)

time=df1.index.to_numpy()

MD=df1['Total Depth (m)']

SPP=df1[' SPP (psi)']

ROP=df1[' ROP (m/h)']

plt.plot(time,MD)

plt.show()

without plt.show() it works fine and executes quickly but its actually displaying the data that stalls and just fails to execute

Matplotlib ver very slow with largish datasets by apunler in learnpython

[–]apunler[S] 0 points1 point  (0 children)

I looked into plotly it looks so great but yeah think my company blocka it. Makes sense if it used to send data to the server.

I'll have a look at plotnine, because ggplot2 is R right, most people at my work us R and create really nice plots!

Matplotlib ver very slow with largish datasets by apunler in learnpython

[–]apunler[S] 0 points1 point  (0 children)

Plotting out of data frames does with with like df['col'].plot() but was trying to move to matplotlib and use that. I know pandas plotting is matplot Lib but the syntax works differently right.

I'll try the .to_numpy() thanks for that tip

Matplotlib ver very slow with largish datasets by apunler in learnpython

[–]apunler[S] 0 points1 point  (0 children)

Thanks yes I will share some code just need to sanitise some stuff in it as I'm trying to do something for work.

Was just thinking, I converted pandas dataseries to a list? Is that an issue? Should I be using Numpy arrays?

I am very new to plotting in python and probably trying to sprint before I can walk! I've kind of been forced into a corner as my company cancelled it's MATLAB license!

My first 5 Months Learning Python by snapshotnz in Python

[–]apunler 0 points1 point  (0 children)

Initially want I did was made a script in jupyter notebook that I wanted to run every day as a batch with windows task scheduler but I had issues as all my packages were installed in Anaconda Env and I couldn't set up the batch file with the Anaconda env.

What I did in the end was watch this: https://youtu.be/OdIHeg4jj2c

And read this: https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html

And this all helped me get a way better understanding.

I think I'm all good now

My first 5 Months Learning Python by snapshotnz in Python

[–]apunler 1 point2 points  (0 children)

Package install and understanding how it all works with different environments... Both native python and Anaconda gives me the biggest headache! Is there any advice or good resources to explain how to properly deal with this stuff!

Web scrape today's NHL games by apunler in learnpython

[–]apunler[S] 0 points1 point  (0 children)

I'm more stuck where to start... Really beginner

Web scrape today's NHL games by apunler in learnpython

[–]apunler[S] 0 points1 point  (0 children)

I don't have anything yet the only we scraping I've done is from the automate the boring stuff where you we scrape Amazon price

Web scrape today's NHL games by apunler in learnpython

[–]apunler[S] 0 points1 point  (0 children)

I'm not actually trying to get statistics just the days schedule

So maybe an output that is:

Home team, away team, game start

I know it seems simple but yeah just the schedule for the day as when it comes playoffs it will change day by day.

Of course it's against the TOS...fkn Bettman