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custom sort an alphanumeric list `l`

How to custom sort an alphanumeric list?

sorted(l, key=lambda x: x.replace('0', 'Z'))

plot logarithmic axes with matplotlib

Plot logarithmic axes with matplotlib in python

ax.set_yscale('log')

Access environment variable "HOME"

Access environment variables

os.environ['HOME']

get value of environment variable "HOME"

Access environment variables

os.environ['HOME']

print all environment variables

Access environment variables

print(os.environ)

get all environment variables

Access environment variables

os.environ

get value of the environment variable 'KEY_THAT_MIGHT_EXIST'

Access environment variables

print(os.environ.get('KEY_THAT_MIGHT_EXIST'))

get value of the environment variable 'KEY_THAT_MIGHT_EXIST' with default value `default_value`

Access environment variables

print(os.getenv('KEY_THAT_MIGHT_EXIST', default_value))

get value of the environment variable 'HOME' with default value '/home/username/'

Access environment variables

print(os.environ.get('HOME', '/home/username/'))

create a dictionary containing each string in list `my_list` split by '=' as a key/value pairs

How to split a string within a list to create key-value pairs in Python

print(dict([s.split('=') for s in my_list]))

find the index of element closest to number 11.5 in list `a`

finding index of an item closest to the value in a list that's not entirely sorted

min(enumerate(a), key=lambda x: abs(x[1] - 11.5))

find element `a` that contains string "TEXT A" in file `root`

How to use lxml to find an element by text?

e = root.xpath('.//a[contains(text(),"TEXT A")]')

Find the`a` tag in html `root` which starts with the text `TEXT A` and assign it to `e`

How to use lxml to find an element by text?

e = root.xpath('.//a[starts-with(text(),"TEXT A")]')

find the element that holds string 'TEXT A' in file `root`

How to use lxml to find an element by text?

e = root.xpath('.//a[text()="TEXT A"]')

create list `c` containing items from list `b` whose index is in list `index`

Python: an efficient way to slice a list with a index list

c = [b[i] for i in index]

get the dot product of two one dimensional numpy arrays

Multiplication of 1d arrays in numpy

np.dot(a[:, (None)], b[(None), :])

multiplication of two 1-dimensional arrays in numpy

Multiplication of 1d arrays in numpy

np.outer(a, b)

execute a file './abc.py' with arguments `arg1` and `arg2` in python shell

Execute a file with arguments in Python shell

subprocess.call(['./abc.py', arg1, arg2])

Replace NaN values in column 'value' with the mean of data in column 'group' of dataframe `df`

Pandas: Fill missing values by mean in each group faster than transfrom

df[['value']].fillna(df.groupby('group').transform('mean'))

separate each character in string `s` by '-'

Python regex alternative for join

re.sub('(.)(?=.)', '\\1-', s)

concatenate '-' in between characters of string `str`

Python regex alternative for join

re.sub('(?<=.)(?=.)', '-', str)

get the indexes of the x and y axes in Numpy array `np` where variable `a` is equal to variable `value`

Index of element in Numpy array

i, j = np.where(a == value)

print letter that appears most frequently in string `s`

Finding the most frequent character in a string

print(collections.Counter(s).most_common(1)[0])

find float number proceeding sub-string `par` in string `dir`

How to match beginning of string or character in Python

float(re.findall('(?:^|_)' + par + '(\\d+\\.\\d*)', dir)[0])

Get all the matches from a string `abcd` if it begins with a character `a`

How to match beginning of string or character in Python

re.findall('[^a]', 'abcd')

get a list of variables from module 'adfix.py' in current module.

How to get a list of variables in specific Python module?

print([item for item in dir(adfix) if not item.startswith('__')])

get the first element of each tuple in a list `rows`

Get the first element of each tuple in a list in Python

[x[0] for x in rows]

get a list `res_list` of the first elements of each tuple in a list of tuples `rows`

Get the first element of each tuple in a list in Python

res_list = [x[0] for x in rows]

duplicate data in pandas dataframe `x` for 5 times

How to repeat Pandas data frame?

pd.concat([x] * 5, ignore_index=True)

Get a repeated pandas data frame object `x` by `5` times

How to repeat Pandas data frame?

pd.concat([x] * 5)

sort json `ips_data` by a key 'data_two'

Sorting JSON in python by a specific value

sorted_list_of_keyvalues = sorted(list(ips_data.items()), key=item[1]['data_two'])

read json `elevations` to pandas dataframe `df`

JSON to pandas DataFrame

pd.read_json(elevations)

generate a random number in 1 to 7 with a given distribution [0.1, 0.05, 0.05, 0.2, 0.4, 0.2]

Generate random numbers with a given (numerical) distribution

numpy.random.choice(numpy.arange(1, 7), p=[0.1, 0.05, 0.05, 0.2, 0.4, 0.2])

Return rows of data associated with the maximum value of column 'Value' in dataframe `df`

Find maximum value of a column and return the corresponding row values using Pandas

df.loc[df['Value'].idxmax()]

find recurring patterns in a string '42344343434'

Finding recurring patterns in a string

re.findall('^(.+?)((.+)\\3+)$', '42344343434')[0][:-1]

convert binary string '\x00\x00\x80?\x00\x00\x00@\x00\x00@@\x00\x00\x80@' to numpy array

convert binary string to numpy array

np.fromstring('\x00\x00\x80?\x00\x00\x00@\x00\x00@@\x00\x00\x80@', dtype='<f4')

convert binary string to numpy array

convert binary string to numpy array

np.fromstring('\x00\x00\x80?\x00\x00\x00@\x00\x00@@\x00\x00\x80@', dtype='>f4')

insert variables `(var1, var2, var3)` into sql statement 'INSERT INTO table VALUES (?, ?, ?)'

How to use variables in SQL statement in Python?

cursor.execute('INSERT INTO table VALUES (?, ?, ?)', (var1, var2, var3))

Execute a sql statement using variables `var1`, `var2` and `var3`

How to use variables in SQL statement in Python?

cursor.execute('INSERT INTO table VALUES (%s, %s, %s)', (var1, var2, var3))

How to use variables in SQL statement in Python?

cursor.execute('INSERT INTO table VALUES (%s, %s, %s)', (var1, var2, var3))

pandas split strings in column 'stats' by ',' into columns in dataframe `df`

pandas split string into columns

df['stats'].str[1:-1].str.split(',', expand=True).astype(float)

split string in column 'stats' by ',' into separate columns in dataframe `df`

pandas split string into columns

df['stats'].str[1:-1].str.split(',').apply(pd.Series).astype(float)

Unpack column 'stats' in dataframe `df` into a series of columns

pandas split string into columns

df['stats'].apply(pd.Series)

wait for shell command `p` evoked by subprocess.Popen to complete

wait for shell command to complete

p.wait()

encode string `s` to utf-8 code

Unescaping escaped characters in a string using Python 3.2

s.encode('utf8')

parse string '01-Jan-1995' into a datetime object using format '%d-%b-%Y'

Parse a string with a date to a datetime object

datetime.datetime.strptime('01-Jan-1995', '%d-%b-%Y')

copy a file from `src` to `dst`

copy a file

copyfile(src, dst)

copy file "/dir/file.ext" to "/new/dir/newname.ext"

copy a file

shutil.copy2('/dir/file.ext', '/new/dir/newname.ext')

copy file '/dir/file.ext' to '/new/dir'

copy a file

shutil.copy2('/dir/file.ext', '/new/dir')

print a list of integers `list_of_ints` using string formatting

Joining a list that has Integer values with Python

print(', '.join(str(x) for x in list_of_ints))

multiply column 'A' and column 'B' by column 'C' in datafram `df`

how to multiply multiple columns by a column in Pandas

df[['A', 'B']].multiply(df['C'], axis='index')

convert string 'a' to hex

convert string to hex in python

hex(ord('a'))

Get the sum of values to the power of their indices in a list `l`

How to sum the values of list to the power of their indices

sum(j ** i for i, j in enumerate(l, 1))

remove extra white spaces & tabs from a string `s`

Python/Django: How to remove extra white spaces & tabs from a string?

""" """.join(s.split())

replace comma in string `s` with empty string ''

How to strip comma in Python string

s = s.replace(',', '')

Resample dataframe `frame` to resolution of 1 hour `1H` for timeseries index, summing values in the column `radiation` averaging those in column `tamb`

How to resample a dataframe with different functions applied to each column?

frame.resample('1H').agg({'radiation': np.sum, 'tamb': np.mean})

How do I get rid of Python Tkinter root window?

root.destroy()

create a pandas dataframe `df` from elements of a dictionary `nvalues`

Creating a Pandas dataframe from elements of a dictionary

df = pd.DataFrame.from_dict({k: v for k, v in list(nvalues.items()) if k != 'y3'})

Flask get value of request variable 'firstname'

How to obtain values of request variables using Python and Flask

first_name = request.args.get('firstname')

Flask get posted form data 'firstname'

How to obtain values of request variables using Python and Flask

first_name = request.form.get('firstname')

get a list of substrings consisting of the first 5 characters of every string in list `buckets`

How to read only part of a list of strings in python

[s[:5] for s in buckets]

sort list `the_list` by the length of string followed by alphabetical order

how to sort by length of string followed by alphabetical order?

the_list.sort(key=lambda item: (-len(item), item))

Set index equal to field 'TRX_DATE' in dataframe `df`

how to slice a dataframe having date field as index?

df = df.set_index(['TRX_DATE'])

List comprehension with an accumulator in range of 10

List comprehension with an accumulator

list(accumulate(list(range(10))))

How to convert a date string '2013-1-25' in format '%Y-%m-%d' to different format '%m/%d/%y'

How to convert a date string to different format

datetime.datetime.strptime('2013-1-25', '%Y-%m-%d').strftime('%m/%d/%y')

convert a date string '2013-1-25' in format '%Y-%m-%d' to different format '%-m/%d/%y'

How to convert a date string to different format

datetime.datetime.strptime('2013-1-25', '%Y-%m-%d').strftime('%-m/%d/%y')

get a dataframe `df2` that contains all the columns of dataframe `df` that do not end in `prefix`

How to remove multiple columns that end with same text in Pandas?

df2 = df.ix[:, (~df.columns.str.endswith('prefix'))]

create list `new_list` containing the last 10 elements of list `my_list`

Python - How to extract the last x elements from a list

new_list = my_list[-10:]

get the last 10 elements from a list `my_list`

Python - How to extract the last x elements from a list

my_list[-10:]

convert matlab engine array `x` to a numpy ndarray

How to efficiently convert Matlab engine arrays to numpy ndarray?

np.array(x._data).reshape(x.size[::-1]).T

select the first row grouped per level 0 of dataframe `df`

In pandas Dataframe with multiindex how can I filter by order?

df.groupby(level=0, as_index=False).nth(0)

concatenate sequence of numpy arrays `LIST` into a one dimensional array along the first axis

How to convert list of numpy arrays into single numpy array?

numpy.concatenate(LIST, axis=0)

convert and escape string "\\xc3\\x85あ" to UTF-8 code

How can I convert literal escape sequences in a string to the corresponding bytes?

"""\\xc3\\x85あ""".encode('utf-8').decode('unicode_escape')

encode string "\\xc3\\x85あ" to bytes

How can I convert literal escape sequences in a string to the corresponding bytes?

"""\\xc3\\x85あ""".encode('utf-8')

interleave the elements of two lists `a` and `b`

How do I merge two lists into a single list?

[j for i in zip(a, b) for j in i]

merge two lists `a` and `b` into a single list

How do I merge two lists into a single list?

[j for i in zip(a, b) for j in i]

delete all occureces of `8` in each string `s` in list `lst`

Removing character in list of strings

print([s.replace('8', '') for s in lst])

Split string `Hello` into a string of letters seperated by `,`

How to split a word into letters in Python

""",""".join('Hello')

in Django, select 100 random records from the database `Content.objects`

In Django, how do I select 100 random records from the database?

Content.objects.all().order_by('?')[:100]

create a NumPy array containing elements of array `A` as pointed to by index in array `B`

Indexing one array by another in numpy

A[np.arange(A.shape[0])[:, (None)], B]

pivot dataframe `df` so that values for `upc` become column headings and values for `saleid` become the index

pandas pivot table of sales

df.pivot_table(index='saleid', columns='upc', aggfunc='size', fill_value=0)

match zero-or-more instances of lower case alphabet characters in a string `f233op `

Confusing with the usage of regex in Python

re.findall('([a-z]*)', 'f233op')

match zero-or-more instances of lower case alphabet characters in a string `f233op `

Confusing with the usage of regex in Python

re.findall('([a-z])*', 'f233op')

split string 'happy_hats_for_cats' using string '_for_'

Splitting a string based on a certain set of words

re.split('_for_', 'happy_hats_for_cats')

Split string 'sad_pandas_and_happy_cats_for_people' based on string 'and', 'or' or 'for'

Splitting a string based on a certain set of words

re.split('_(?:for|or|and)_', 'sad_pandas_and_happy_cats_for_people')

Split a string `l` by multiple words `for` or `or` or `and`

Splitting a string based on a certain set of words

[re.split('_(?:f?or|and)_', s) for s in l]

zip keys with individual values in lists `k` and `v`

How do I zip keys with individual values in my lists in python?

[dict(zip(k, x)) for x in v]

Sort a list 'lst' in descending order.

Python how to sort this list?

sorted(lst, reverse=True)

sort array `order_array` based on column 'year', 'month' and 'day'

Sorting numpy array on multiple columns in Python

order_array.sort(order=['year', 'month', 'day'])

Sort a structured numpy array 'df' on multiple columns 'year', 'month' and 'day'.

Sorting numpy array on multiple columns in Python

df.sort(['year', 'month', 'day'])

check if elements in list `my_list` are coherent in order

Python: find out whether a list of integers is coherent

return my_list == list(range(my_list[0], my_list[-1] + 1))

group rows of pandas dataframe `df` with same 'id'

Concatenate rows of pandas DataFrame with same id

df.groupby('id').agg(lambda x: x.tolist())

encode `u'X\xc3\xbcY\xc3\x9f'` as unicode and decode with utf-8

Double-decoding unicode in python

'X\xc3\xbcY\xc3\x9f'.encode('raw_unicode_escape').decode('utf-8')

parse string `a` to float

Parse String to Float or Int

float(a)

Parse String `s` to Float or Int

Parse String to Float or Int

try: return int(s) except ValueError: return float(s)

check if object `a` has property 'property'

know if an object has an attribute

if hasattr(a, 'property'): pass

check if object `a` has property 'property'

know if an object has an attribute

if hasattr(a, 'property'): pass

get the value of attribute 'property' of object `a` with default value 'default value'

know if an object has an attribute

getattr(a, 'property', 'default value')

delete every 8th column in a numpy array 'a'.

delete every nth row or column in a matrix using Python

np.delete(a, list(range(0, a.shape[1], 8)), axis=1)

convert `ms` milliseconds to a datetime object

How do I create a datetime in Python from milliseconds?

datetime.datetime.fromtimestamp(ms / 1000.0)