Aayush Shah AayushSameerShah

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Hmm...

badc0ffee ☕

48 followers · 16 following

Elegant Microweb
Bhuj — Ahmedabad
13:27 (UTC +05:30)
https://www.linkedin.com/in/aayushsameershah/

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AayushSameerShah / Get_NA_row_index.py

Created May 23, 2021 06:20

This is the small but useful when you want to KNOW which rows are there with NA

DF.isna().any(1)

AayushSameerShah / sort_grouped.py

Created May 23, 2021 06:17

This snippet will give you an idea on how to sort values when it is in the group

	'''
	State District Population(values)

	Guj Kutch 30
	Ahmedabad 100
	Surat 50
	Vadodra 20
	Jak 10

	Maha Mumbai 130

AayushSameerShah / Pandas Usefuls2.py

Last active May 23, 2021 06:10

This is the second version of pandas usefuls... enjoy

	# 1. Describe... some more
	DF.describe(include= ['dtype'])


	# 2. Use the freaking .str.contains()
	DF.col.str.contains()


	# 3. Format for a while! (COOLEST)
	pd.set_option('display.float_format', '{:,}'.format)

AayushSameerShah / Pandas Usefuls.py

Last active May 23, 2021 06:07

This gist presents various mini-time savers pandas snippets

	# 1. Use of .agg in groupy
	DF.groupby('').agg(['mean', 'max'])
	# or
	DF.groupby('').agg({'col1:': 'max',
	'col2': 'min'})


	# 2. Amazing, when using agg from above or other, if
	# you want to rename the columns ON THE AIR, then...
	DF.groupby('').agg(

AayushSameerShah / Fees_buss.py

Created May 19, 2021 14:01

This is the short form for your reminder

	for i in range(50):
	print("Fizz" * (i % 3 == 0) + "Buzz" * (i % 5 == 0) or False)

AayushSameerShah / categorize_multiple.py

Created May 17, 2021 15:44

This is the process when you find yourself in a situation when there are overlapping categories per row and still one to categorize by single category... This will help to do just that and is so simple.

	# Create a unique set, so it becomes clear
	genres = set()
	for gen in df.Genre:
	for single_gen in map(str.strip, gen.split(",")):
	genres.add(single_gen)

	# Create dict to store ids of that category
	genre_ids = dict()
	for gen in genres:
	genre_ids[gen] = []

AayushSameerShah / Cool_shaded_region.py

Created May 12, 2021 13:50

This will give the shaded region in a graph... main part is under # Make shaded region comment

	# SIMPLE chhe, Don't worry...
	def func(x):
	return x ** 2

	x = np.linspace(0, 10)
	y = func(x)

	fig, ax = plt.subplots()
	ax.plot(x, y, 'r', linewidth=2)
	ax.set_ylim(bottom=0)

AayushSameerShah / Global_font.py

Last active June 5, 2021 07:38

Setting global font settings ...

	rcParams['font.family'] = 'sans-serif'
	rcParams['font.sans-serif'] = ['Tahoma']

	COLOR = 'blue'
	mpl.rcParams['text.color'] = COLOR
	mpl.rcParams['axes.labelcolor'] = COLOR
	mpl.rcParams['xtick.color'] = COLOR
	mpl.rcParams['ytick.color'] = COLOR

AayushSameerShah / bar_values.py

Created May 11, 2021 13:06

Text on Graph (Bar values)

	x = ["A", "B", "C", "D"]
	y = [1, 2, 3, 4]
	plt.barh(x, y)

	for index, value in enumerate(y):
	plt.text(value, index, str(value))

AayushSameerShah / Gredient.py

Created May 11, 2021 11:57

Gredient Color in Plot

	from matplotlib import cm
	color = cm.inferno_r(np.linspace(.4, .8, 18))

	plt.plot(color= color)

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