Description

The import of dataset fails for a lot of provided notebooks in chapter 1 (OSErrorin case of numpy usage, FileNotFoundError in case of pandas usage). This is due to the fact, that the affected notebooks refer to the data as if it would reside in the same directory like in Exercise1.01):

dataset = np.genfromtxt('./Datasets/normal_distribution.csv' ... )

Proposed Solution

Adjust the relative path for file imports like already done in Exercise1.02 to

dataset = np.genfromtxt('../../Datasets/normal_distribution.csv' ... )

Tasks

• fix Activity 1.01
• fix Activity 1.02
• fix Exercise 1.01
• fix Exercise 1.03
• fix Exercise 1.04
• fix Exercise 1.05
• fix Exercise 1.06
• fix Exercise 1.07

Hi! Chapter 02 with relative exercises and activities are missing! Cheers

Description

The Jupyter notebook of Activity 7.03 can't be loaded and the following error is thrown:

Unreadable Notebook: .../Data-Visualization-with-Python/Chapter07/Activity7.03/Activity7.03.ipynb NotJSONError('Notebook does not appear to be JSON: \'{\\n "cells": [\\n {\\n "cell_type": "m...')

Proposed Solution

Find the malformed section and fix the notebook

Tasks

• fix Activity 7.03

Hello, I am trying to do exercise 3.03, visualizing the restaurant tips data in a stacked barchart.

However, I cannot find the raw tips.cvs data anywhere... 🤔

Description

The introduction text of activity 1.02 is the same as for activity 1.01. Additionally it does not reflect the goal, as activity 1.02 uses the forestfires.csv dataset (not the normal_distribution dataset.

Proposed Solution

Adjust the text accordingly to the text of the book.

Tasks

• Adjust activity 1.02

Description

The showcase in Exercise 1.02 throws a TypeError (when applying hor_split = np.hsplit(dataset, (3))) followed by a NameError (when applying np.vsplit(hor_splits[0],(2)). The first error is due to the fact, that the dataset has a shape of (24,8) which can't be split evenly via np.hsplit(..., (3)). The second error is due to the failure to assign hor_split.

Proposed Solution

The simplest solution would be to reassign dataset to the transpose of itself (dataset = dataset.T).

Tasks

• fix Exercise 1.02
• fix Exercise 1.03

While running your script (works well) however at the last line [12]

creating the dropdown interaction and building the plot

based on selection

@interact(Stock=stock_names)
def get_stock_for(Stock='AAPL'):
stock = dataset[dataset['symbol'] == Stock][:25]
show(get_plot(stock))

I am getting the following error

AttributeError: unexpected attribute 'legend_label' to Line, possible attributes are js_event_callbacks, js_property_callbacks, line_alpha, line_cap, line_color, line_dash, line_dash_offset, line_join, line_width, name, subscribed_events, tags, x or y

I am using MacOS Mojave and Python 3.7.4

Thank you,
CA