robintw

async def test_select_platform_type(test_datastore):
    # Test application in a dummy session.
    input = DummyInput()
    output = DummyOutput()
    # output = None

    with create_app_session(output=output, input=input):
        gui = MaintenanceGUI(test_datastore)

        task = asyncio.create_task(gui.app.run_async())

robintw

import asyncio
from contextlib import asynccontextmanager

from prompt_toolkit.application import create_app_session
from prompt_toolkit.input import create_pipe_input
from prompt_toolkit.input.ansi_escape_sequences import REVERSE_ANSI_SEQUENCES
from prompt_toolkit.input.base import DummyInput
from prompt_toolkit.key_binding.key_processor import KeyPress
from prompt_toolkit.keys import Keys
from prompt_toolkit.output import DummyOutput

robintw

async def test_select_platform_type(test_datastore):
    # Test application in a dummy session.
    input = DummyInput()
    # output = DummyOutput()
    output = None

    with create_app_session(output=output, input=input):
        gui = MaintenanceGUI(test_datastore)

        # Run the application.

robintw

from modulefinder import ModuleFinder
f = ModuleFinder()

# Run the main script
f.run_script('run.py')

# Get names of all the imported modules
names = list(f.modules.keys())

# Get a sorted list of the root modules imported 

robintw

robintw

robintw

[Info  - 7:54:19 PM] Pylance language server 2020.6.1 starting
[Info  - 7:54:19 PM] Server root directory: /Users/robin/.vscode-insiders/extensions/ms-python.vscode-pylance-2020.6.1/server
[Info  - 7:54:19 PM] No configuration file found.
[Info  - 7:54:19 PM] Setting pythonPath for service "pepys-import": "/Users/robin/anaconda3/envs/pepys/bin/python"
[Info  - 7:54:20 PM] stubPath /Users/robin/Documents/IanMayo/pepys-import/typings is not a valid directory.
[Info  - 7:54:20 PM] Assuming Python version 3.7
[Info  - 7:54:20 PM] Assuming Python platform Darwin
[Info  - 7:54:20 PM] Searching for source files
[Info  - 7:54:20 PM] Found 181 source files
[Info  - 7:54:20 PM] Background analysis root directory: /Users/robin/.vscode-insiders/extensions/ms-python.vscode-pylance-2020.6.1/server

robintw

#include<stdio.h>
#include<stdlib.h>
#include<array_alloc.h>
#include<math.h>
#include<mpi.h>


struct global_index
{
  int x;

robintw

from bokeh.plotting import figure, ColumnDataSource
from bokeh.models import HoverTool


def scatter_with_hover(df, x, y,
                       fig=None, cols=None, name=None, marker='x',
                       fig_width=500, fig_height=500, **kwargs):
    """
    Plots an interactive scatter plot of `x` vs `y` using bokeh, with automatic
    tooltips showing columns from `df`.

robintw

What is your session about?

"I wish there was a way to easily manipulate this huge multi-dimensional array in Python...", I thought, as I stared at a huge chunk of satellite data on my laptop. The data was from a satellite measuring air quality - and I wanted to slice and dice the data in some supposedly simple ways. Using pure numpy - the go-to library when the words 'multi-dimensional', 'array' and 'python' are mentioned in the same sentence - was just such a pain. What I wished for was something like pandas - with datetime indexes, fancy ways of selecting subsets, group-by operations and so on - but something that would work with my huge multi-dimensional array.

The solution: XArray - a wonderful library which provides the power of pandas for multi-dimensional data. In this talk I will introduce the XArray library by showing how just a few lines of code can answer questions about my data that would take a lot of complex code to answer with pure numpy - questions like 'What is the average air quality in