Python Shelve Extension¶

Extend standard library shelve module. Create a new shelf db that contains a dataframe and a figure.

In [1]:

import pandas as pd
import myshelf
import matplotlib.pyplot as plt

In [2]:

# Dataframe
df = pd.read_csv("https://tessarinseve.pythonanywhere.com/staticweb/dataset_1000.csv",index_col=0)

In [3]:

plt.scatter(df["Col1"].values, df["Col2"].values, alpha=0.2,
            c=df["Col5"].values, cmap='viridis')

Out[3]:

<matplotlib.collections.PathCollection at 0x252f0e888b0>

No description has been provided for this image

In [4]:

from io import BytesIO

In [5]:

png_string = BytesIO()

In [6]:

plt.savefig(png_string,format="png",backend="Agg")

<Figure size 432x288 with 0 Axes>

In [7]:

with myshelf.open_default("db_notebook") as nbshelf:
    nbshelf["dataframe"] = df
    nbshelf["png"] = png_string

In [8]:

myshelf.get_dir()

Out[8]:

'C:\\Users\\Seve\\My Documents\\My Shelf'

Inspect DB¶

In [9]:

db = myshelf.open_default("db_notebook")

In [10]:

db.inspect()

KEY        TYPE                                   VALUE
========================================================
dataframe  <class 'pandas.core.frame.DataFrame'>              Col1      Col2      Col3      Col4  Col5
png        <class '_io.BytesIO'>                  <_io.BytesIO object at 0x00000252F2F78B80>

Video¶

In [11]:

from IPython.display import YouTubeVideo

In [12]:

YouTubeVideo("5GCc8xc7Ndg")

Out[12]:

In [ ]:

PYTHON SHELF EXTENSION

Python Shelve Extension¶

Inspect DB¶

Video¶