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// .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 |
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#!/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-) |
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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 |
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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") |
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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 |
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try: | |
import module | |
except ModuleNotFoundError: | |
exc_info = sys.exc_info() | |
traceback.print_exception(*exc_info) | |
del exc_info |
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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) |
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# 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]) |
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# 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 |
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