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Save your files with current date time appended; load the newest back without specifying file name everytime

Project description

This is a quick script that allows you to save common file to any location with date time appended behind like "filename_1912181212.csv" (save_dt). Everytime you want to load it back, just use load_newest, it will automatically find the newest file.

Feel free to download/edit this script, and maybe share your version with me!

import sldt
# launch logger to see info when saving and loading files
import logging
['.pkl', '.csv', '.png', '.txt']

anything → pkl

a_list = ['a', 0.1, False]

# save two files for demo
sldt.s(a_list, 'output/a_list.pkl')
import time
sldt.s(a_list, 'output/a_list.pkl')

# it will load the newest (which is the later one) back
a_list = sldt.l('output/a_list.pkl')
INFO:root:output/a_list_1912240137.pkl saved
INFO:root:output/a_list_1912240138.pkl saved
INFO:root:output/a_list_1912240138.pkl loaded

['a', 0.1, False]

pandas dataframe → csv

import pandas as pd
df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
sldt.s(df, 'output/df.csv')

df = sldt.l('output/df.csv')
INFO:root:output/df_1912240108.csv saved
INFO:root:output/df_1912240108.csv loaded
col1 col2
0 1 3
1 2 4

you can pass any argument as to pd.DataFrame.to_csv(), if there's no arguments in save_dt, the default will be index=False.

For example, save_dt(df, 'output/df.csv', sep=';')

figure → png

import seaborn as sns
exercise = sns.load_dataset("exercise")
g = sns.catplot(x="time", y="pulse", hue="kind", data=exercise)

sldt.s(g, 'output/g.png')
INFO:root:output/g_1912240108.png saved

Display it using ![](output/g_1912240037.png) in markdown.

the default arguments will be dpi=600, bbox_inches: 'tight'. And it will try to close the fig after saving the file.

string → txt

text = '''some random sentences
and there'''
sldt.s(text, 'output/text.txt')

text = sldt.l('output/text.txt')
INFO:root:output/text_1912240108.txt saved
INFO:root:output/text_1912240108.txt loaded

'some random sentences\nhere\nand there'

helper functions

you can save your own file type and load it back using append_dt and find_newest

import pickle

output_filename = sldt.append_dt('output/sth.pkl', datetime_format="%y%m%d%H%M")[0] # it returns a tuple as (filename, extension)
with open(output_filename, 'wb') as f:
    pickle.dump('some strings', f)
newest_file = sldt.find_newest('output/sth.pkl')[0]
with open(newest_file, 'rb') as f:
    sth = pickle.load(f)
'some strings'


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