Thiagobc23’s gists

Thiagobc23 / countries

Last active April 9, 2021 19:53

List of countries from world bank for cleaning datasets

	# countries from https://data.worldbank.org/country
	all_countries = ['Afghanistan', 'Albania', 'Algeria', 'American Samoa',
	'Andorra', 'Angola', 'Antigua and Barbuda', 'Argentina',
	'Armenia', 'Aruba', 'Australia', 'Austria', 'Azerbaijan',
	'Bahamas, The', 'Bahrain', 'Bangladesh', 'Barbados',
	'Belarus', 'Belgium', 'Belize', 'Benin', 'Bermuda',
	'Bhutan', 'Bolivia', 'Bosnia and Herzegovina', 'Botswana',
	'Brazil', 'British Virgin Islands', 'Brunei Darussalam',
	'Bulgaria', 'Burkina Faso', 'Burundi', 'Cabo Verde',
	'Cambodia', 'Cameroon', 'Canada', 'Cayman Islands',

Thiagobc23 / gantt.py

Created August 30, 2021 02:46

Gantt chart with Matplotlib

	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt
	from matplotlib.patches import Patch
	from pandas import Timestamp

	##### DATA #####
	data = {'Task': {0: 'TSK M',
	1: 'TSK N',
	2: 'TSK L',

Thiagobc23 / gantt.py

Last active March 30, 2024 16:54

Gantt Chart with Matplotlib v2

	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt
	from matplotlib.patches import Patch
	from pandas import Timestamp

	##### DATA #####
	data = {'Task': {0: 'TSK M',
	1: 'TSK N',
	2: 'TSK L',

Thiagobc23 / smooth_chart.py

Last active October 28, 2021 03:14

Smooth line chart with Matplotlib (scipy interpolate)

	import matplotlib.pyplot as plt
	import numpy as np
	import pandas as pd
	from scipy import interpolate

	url = 'https://gist.githubusercontent.com/Thiagobc23/4ccb4ea1c612d9d68921bf990ce28855/raw/6225824a6b7d5d273019c09c25cbbaa5b82009bc/dummy_data.csv'
	df = pd.read_csv(url, index_col='ID')

	# figure
	fig, ax = plt.subplots(1, figsize=(12,4), facecolor='#293952')

Thiagobc23 / secondary_axis.py

Last active November 2, 2021 02:21

Matplotlib line charts with secondary axis | dual-axis | double-axis

	import matplotlib.pyplot as plt
	import numpy as np
	import pandas as pd

	url = 'https://gist.githubusercontent.com/Thiagobc23/4ccb4ea1c612d9d68921bf990ce28855/raw/6225824a6b7d5d273019c09c25cbbaa5b82009bc/dummy_data.csv'
	df = pd.read_csv(url, index_col='ID')

	# figure
	fig, ax = plt.subplots(1, figsize=(12,4), facecolor='#293952')
	ax.set_facecolor('#293952')

Thiagobc23 / connected_scatter.py

Last active November 2, 2021 02:25

Connected Scatter Plot with Matplotlib

	import matplotlib.pyplot as plt
	from matplotlib.collections import LineCollection
	import numpy as np
	import pandas as pd

	url = 'https://gist.githubusercontent.com/Thiagobc23/4ccb4ea1c612d9d68921bf990ce28855/raw/6225824a6b7d5d273019c09c25cbbaa5b82009bc/dummy_data.csv'
	df = pd.read_csv(url, index_col='ID')

	# figure
	# data

Thiagobc23 / ridge_plot.py

Created November 2, 2021 04:38

Ridge plot with Seaborn

	import matplotlib.pyplot as plt
	import seaborn as sns
	import pandas as pd

	# DATA
	url = 'https://gist.githubusercontent.com/Thiagobc23/4ccb4ea1c612d9d68921bf990ce28855/raw/07af955c17d1816aba58dea74d65f60210702a15/film.csv'
	df = pd.read_csv(url, index_col='ID')

	# Theme
	sns.set_theme(style="white", rc={"axes.facecolor": (0, 0, 0, 0), 'axes.linewidth':2})

Thiagobc23 / circular_progress_bar.py

Created November 3, 2021 01:53

Circular progress bar with Matplotlib

	from math import pi
	import numpy as np
	from matplotlib.patches import Patch
	from matplotlib.lines import Line2D

	# data and variables
	data = [82, 75, 91]
	startangle = 90
	colors = ['#4393E5', '#43BAE5', '#7AE6EA']

Thiagobc23 / donut.py

Last active November 3, 2021 01:58

Donut chart with Matplotlib

	import matplotlib.pyplot as plt

	data = [87,13]

	fig, ax = plt.subplots(figsize=(6, 6))

	wedgeprops = {'width':0.3, 'edgecolor':'black', 'linewidth':3}
	ax.pie(data, wedgeprops=wedgeprops, startangle=90, colors=['#5DADE2', '#515A5A'])

	plt.title('Worldwide Access to Electricity', fontsize=24, loc='left')

Thiagobc23 / magnus.csv

Last active January 10, 2022 02:04

Magnus Carlsen Historical Fide Rating - Standard

Thiago Bernardes Carvalho Thiagobc23