hsteinshiromoto

// .stglobalignore

// Incomplete Downloads
// At least for now, these prevent Syncthing from transferring data that's
// going to be thrown out anyway once the download is finished and the
// file is renamed. Things may change when Syncthing gets smarter.
//
// Git //
.git
// Firefox downloads and other things

hsteinshiromoto

hsteinshiromoto

#!/usr/bin/env bash

# This file automatically updates the versions of files setup.py and __init__.py
# based on the latest git tag and the release branch name

# Copy this file to .git/hooks/

BRANCH_NAME=$(git rev-parse --abbrev-ref HEAD)
BRANCH_TYPE=$(echo ${BRANCH_NAME}| cut -d/ -f1)
NEXT_VERSION=$(echo ${BRANCH_NAME} | cut -d "v" -f2- | cut -d "v" -f2-)

hsteinshiromoto

from collections.abc import Iterable

import matplotlib as mpl
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np


def make_graph(nodes: Iterable, M: np.ndarray, G: nx.classes.digraph.DiGraph=nx.DiGraph()):
    """Build graph based on list of nodes and a weight matrix

hsteinshiromoto

fig, ax = plt.subplots(figsize=(20, 10))
ax = sns.lineplot(x=xticks, y=y, ax=ax)
plt.xticks(xticks, data["datetime_column_label"].astype(str), rotation=30, ha="right")

hsteinshiromoto

import sys
import traceback
from collections.abc import Iterable
from typing import Union

from hyperopt import STATUS_FAIL, STATUS_OK, Trials, fmin, hp, tpe
import pandas as pd
import numpy as np
import scipy as sp
from sklearn.model_selection import KFold, StratifiedKFold

hsteinshiromoto

try:
    import module

except ModuleNotFoundError:
    exc_info = sys.exc_info()
    traceback.print_exception(*exc_info)
    del exc_info

hsteinshiromoto

fig, ax = plt.subplots()

ax = sns.barplot(x=df.index, y=df["Column"])
ax.set_xlabel("X Label")
x = list(df["Bins"].astype(str).values)

x[-1] = f'{df["Bins"].max().left}+'

plt.xticks(df.index, x)

hsteinshiromoto

# References:
#   [1] https://stackoverflow.com/questions/15705630/get-the-rows-which-have-the-max-value-in-groups-using-groupby

# Get data
import pandas as pd

df = pd.DataFrame({'category': ['banana', 'eggs', 'eggs', 'full cream milk', 'full cream milk', 'full cream milk'], 
                    'unit_quantity': ['1EA', '100G', '100ML', '100G', '100ML', '1L'], 
                    'Count': [5, 22, 1, 5, 1, 38],}, 
                   index = [0, 1, 2, 3, 4, 5]) 

hsteinshiromoto

# Created by https://www.toptal.com/developers/gitignore/api/tex,latex,linux,macos,python,dbeaver,pycharm,windows,jupyternotebooks,visualstudiocode,obsidian
# Edit at https://www.toptal.com/developers/gitignore?templates=tex,latex,linux,macos,python,dbeaver,pycharm,windows,jupyternotebooks,visualstudiocode,obsidian

## Syncthing ##

.stfolder/
.stversions/

### DBeaver ###
# ide config file