slavnycoder

import os


def storage_walk(storage, top='/'):
    """
    List all files in django storage
    """
    dirs, nondirs = storage.listdir(top)
    for name in nondirs:
        yield os.path.join(top, name)

slavnycoder

# Plot differential gene expression venn diagram using python
# Example dataframe
#            sample1     sample2       sample3
# gene1         1            0            1
# gene2         0            1            0
# gene3        -1            0            0
# gene4         0            0           -1
# gene5         0            1            0

from collections import defaultdict

slavnycoder

class CachingDict:
    def __init__(self, path):
        self.path = path
        if os.path.exists(self.path):
            with open(self.path) as json_file:
                self.data = json.load(json_file)
        else:
            self.data = dict()
            self.dump()

slavnycoder

import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt


def plot_volcano(data: pd.DataFrame, log2_fc_col: str, p_value_col: str, plot_title: str = "Volcano plot"):
    """
    Plot volcano with seaborn
    :param data: pandas DataFrame with your data

slavnycoder

def plot_scatter_psr2(df: pd.DataFrame, x: str, y: str,
                      label_x: Optional[str] = None, label_y: Optional[str] = None,
                      title: str = None,
                      filename: str = None,
                      labels: List[str] = None
                      ) -> None:
    fig, ax = plt.subplots(figsize=(9, 6), dpi=200)
    ax.scatter(df[x], df[y], marker="v", color="cornflowerblue")

    a, b, r, p, err = scipy.stats.stats.linregress(df[x].values, df[y].values)

slavnycoder

## API class for https://toncenter.com/
## requirements:
# tonsdk https://github.com/tonfactory/tonsdk/
# requests
# Donate (TON): EQCZG0qnpnNK2dCYoLCiLMCuP-QviaFvWiVDQja1vgMXn7uD

from typing import Optional, Literal, List, Coroutine

import aiohttp
import requests