LinuxIsCool

from streamz import Stream

def market_step(market_inputs):
    return {'market_movement': market_inputs['market_movement']}

def write(x):
    print(x)

def f(n=5):
    source = Stream(asynchronous=True)  # Configure the stream for asynchronous operation

LinuxIsCool

LinuxIsCool

import pandas as pd
import hvplot.pandas

df = pd.DataFrame({'x':range(10),'y':range(10), 'z':range(10)})

df.hvplot.step(x='x').opts(legend_position='top_left')

df = pd.DataFrame({'x':range(10),'y':range(10),'z':range(10)})

df.hvplot.line(x='x', legend='left')

LinuxIsCool

import param as pm
import panel as pn
import hvplot.pandas
import pandas as pd
import numpy as np
pn.extension()

class ResettableParameterized(pm.Parameterized):
    def _reset(self):
        with pm.parameterized.batch_call_watchers(self):

LinuxIsCool

import param as pm
import panel as pn
import hvplot.pandas
import pandas as pd
import numpy as np
pn.extension()

class Test(pm.Parameterized):
    y = pm.Number(10, bounds=(0,20))
    def view(self):

LinuxIsCool

Nice little interactive data widget with accordion example.

import panel as pn
import param as pm
import numpy as np
import pandas as pd
import hvplot.pandas

class SimplePlotExample(pm.Parameterized):

LinuxIsCool

Add the following to alacritty:

key_bindings:
   - { key: I, mods: Control, chars: "\x1b[105;6u" }

Source: NvChad/NvChad#1551 (comment)

LinuxIsCool

I'm looking for a canonical way of displaying the name property of dataframes when printing or logging.

Here is a module that overrides print with a method that prints dataframes with their names if they have the name property, and prints normally otherwise.

import builtins

import pandas as pd

LinuxIsCool

import numpy as np
import pandas as pd
import hvplot.pandas

labels = list('ABC')
states = 4
xs = 100

df = pd.DataFrame({'x': len(labels)*states*list(range(xs)), 'label': [l for l in labels for _ in range(states*xs)], 'State': len(labels)*[s for s in list(range(states)) for _ in range(xs)], 'Value': 0.52+np.random.rand(len(labels)*states*xs)})

LinuxIsCool

Publish to Pypi Easily with Python Poetry

1. Sinup at https://pypi.org/
2. If you already have your codebase build with poetry. Skip to config pypi poetry
3. To get started with a new project start here:

Install Python Poetry

https://python-poetry.org/

Initialize package with poetry