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41,894,454 | How to custom sort an alphanumeric list? | custom sort an alphanumeric list `l` | sorted(l, key=lambda x: x.replace('0', 'Z')) |
773,814 | Plot logarithmic axes with matplotlib in python | plot logarithmic axes with matplotlib | ax.set_yscale('log') |
4,906,977 | Access environment variables | Access environment variable "HOME" | os.environ['HOME'] |
4,906,977 | Access environment variables | get value of environment variable "HOME" | os.environ['HOME'] |
4,906,977 | Access environment variables | print all environment variables | print(os.environ) |
4,906,977 | Access environment variables | get all environment variables | os.environ |
4,906,977 | Access environment variables | get value of the environment variable 'KEY_THAT_MIGHT_EXIST' | print(os.environ.get('KEY_THAT_MIGHT_EXIST')) |
4,906,977 | Access environment variables | get value of the environment variable 'KEY_THAT_MIGHT_EXIST' with default value `default_value` | print(os.getenv('KEY_THAT_MIGHT_EXIST', default_value)) |
4,906,977 | Access environment variables | get value of the environment variable 'HOME' with default value '/home/username/' | print(os.environ.get('HOME', '/home/username/')) |
12,739,911 | How to split a string within a list to create key-value pairs in Python | create a dictionary containing each string in list `my_list` split by '=' as a key/value pairs | print(dict([s.split('=') for s in my_list])) |
9,706,041 | finding index of an item closest to the value in a list that's not entirely sorted | find the index of element closest to number 11.5 in list `a` | min(enumerate(a), key=lambda x: abs(x[1] - 11.5)) |
14,299,978 | How to use lxml to find an element by text? | find element `a` that contains string "TEXT A" in file `root` | e = root.xpath('.//a[contains(text(),"TEXT A")]') |
14,299,978 | How to use lxml to find an element by text? | Find the`a` tag in html `root` which starts with the text `TEXT A` and assign it to `e` | e = root.xpath('.//a[starts-with(text(),"TEXT A")]') |
14,299,978 | How to use lxml to find an element by text? | find the element that holds string 'TEXT A' in file `root` | e = root.xpath('.//a[text()="TEXT A"]') |
12,768,504 | Python: an efficient way to slice a list with a index list | create list `c` containing items from list `b` whose index is in list `index` | c = [b[i] for i in index] |
23,566,515 | Multiplication of 1d arrays in numpy | get the dot product of two one dimensional numpy arrays | np.dot(a[:, (None)], b[(None), :]) |
23,566,515 | Multiplication of 1d arrays in numpy | multiplication of two 1-dimensional arrays in numpy | np.outer(a, b) |
5,788,891 | Execute a file with arguments in Python shell | execute a file './abc.py' with arguments `arg1` and `arg2` in python shell | subprocess.call(['./abc.py', arg1, arg2]) |
40,682,209 | Pandas: Fill missing values by mean in each group faster than transfrom | Replace NaN values in column 'value' with the mean of data in column 'group' of dataframe `df` | df[['value']].fillna(df.groupby('group').transform('mean')) |
27,457,970 | Python regex alternative for join | separate each character in string `s` by '-' | re.sub('(.)(?=.)', '\\1-', s) |
27,457,970 | Python regex alternative for join | concatenate '-' in between characters of string `str` | re.sub('(?<=.)(?=.)', '-', str) |
18,079,029 | Index of element in Numpy array | get the indexes of the x and y axes in Numpy array `np` where variable `a` is equal to variable `value` | i, j = np.where(a == value) |
4,131,123 | Finding the most frequent character in a string | print letter that appears most frequently in string `s` | print(collections.Counter(s).most_common(1)[0]) |
12,211,944 | How to match beginning of string or character in Python | find float number proceeding sub-string `par` in string `dir` | float(re.findall('(?:^|_)' + par + '(\\d+\\.\\d*)', dir)[0]) |
12,211,944 | How to match beginning of string or character in Python | Get all the matches from a string `abcd` if it begins with a character `a` | re.findall('[^a]', 'abcd') |
9,759,820 | How to get a list of variables in specific Python module? | get a list of variables from module 'adfix.py' in current module. | print([item for item in dir(adfix) if not item.startswith('__')]) |
22,412,258 | Get the first element of each tuple in a list in Python | get the first element of each tuple in a list `rows` | [x[0] for x in rows] |
22,412,258 | Get the first element of each tuple in a list in Python | get a list `res_list` of the first elements of each tuple in a list of tuples `rows` | res_list = [x[0] for x in rows] |
23,887,881 | How to repeat Pandas data frame? | duplicate data in pandas dataframe `x` for 5 times | pd.concat([x] * 5, ignore_index=True) |
23,887,881 | How to repeat Pandas data frame? | Get a repeated pandas data frame object `x` by `5` times | pd.concat([x] * 5) |
34,148,637 | Sorting JSON in python by a specific value | sort json `ips_data` by a key 'data_two' | sorted_list_of_keyvalues = sorted(list(ips_data.items()), key=item[1]['data_two']) |
21,104,592 | JSON to pandas DataFrame | read json `elevations` to pandas dataframe `df` | pd.read_json(elevations) |
4,265,988 | Generate random numbers with a given (numerical) distribution | generate a random number in 1 to 7 with a given distribution [0.1, 0.05, 0.05, 0.2, 0.4, 0.2] | numpy.random.choice(numpy.arange(1, 7), p=[0.1, 0.05, 0.05, 0.2, 0.4, 0.2]) |
15,741,759 | Find maximum value of a column and return the corresponding row values using Pandas | Return rows of data associated with the maximum value of column 'Value' in dataframe `df` | df.loc[df['Value'].idxmax()] |
11,303,238 | Finding recurring patterns in a string | find recurring patterns in a string '42344343434' | re.findall('^(.+?)((.+)\\3+)$', '42344343434')[0][:-1] |
11,760,095 | convert binary string to numpy array | convert binary string '\x00\x00\x80?\x00\x00\x00@\x00\x00@@\x00\x00\x80@' to numpy array | np.fromstring('\x00\x00\x80?\x00\x00\x00@\x00\x00@@\x00\x00\x80@', dtype='<f4') |
11,760,095 | 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') |
902,408 | How to use variables in SQL statement in Python? | insert variables `(var1, var2, var3)` into sql statement 'INSERT INTO table VALUES (?, ?, ?)' | cursor.execute('INSERT INTO table VALUES (?, ?, ?)', (var1, var2, var3)) |
902,408 | How to use variables in SQL statement in Python? | Execute a sql statement using variables `var1`, `var2` and `var3` | cursor.execute('INSERT INTO table VALUES (%s, %s, %s)', (var1, var2, var3)) |
902,408 | How to use variables in SQL statement in Python? | null | cursor.execute('INSERT INTO table VALUES (%s, %s, %s)', (var1, var2, var3)) |
29,370,211 | pandas split string into columns | pandas split strings in column 'stats' by ',' into columns in dataframe `df` | df['stats'].str[1:-1].str.split(',', expand=True).astype(float) |
29,370,211 | pandas split string into columns | split string in column 'stats' by ',' into separate columns in dataframe `df` | df['stats'].str[1:-1].str.split(',').apply(pd.Series).astype(float) |
29,370,211 | pandas split string into columns | Unpack column 'stats' in dataframe `df` into a series of columns | df['stats'].apply(pd.Series) |
16,196,712 | wait for shell command to complete | wait for shell command `p` evoked by subprocess.Popen to complete | p.wait() |
9,339,630 | Unescaping escaped characters in a string using Python 3.2 | encode string `s` to utf-8 code | s.encode('utf8') |
1,713,594 | Parse a string with a date to a datetime object | parse string '01-Jan-1995' into a datetime object using format '%d-%b-%Y' | datetime.datetime.strptime('01-Jan-1995', '%d-%b-%Y') |
123,198 | copy a file | copy a file from `src` to `dst` | copyfile(src, dst) |
123,198 | copy a file | copy file "/dir/file.ext" to "/new/dir/newname.ext" | shutil.copy2('/dir/file.ext', '/new/dir/newname.ext') |
123,198 | copy a file | copy file '/dir/file.ext' to '/new/dir' | shutil.copy2('/dir/file.ext', '/new/dir') |
3,590,165 | Joining a list that has Integer values with Python | print a list of integers `list_of_ints` using string formatting | print(', '.join(str(x) for x in list_of_ints)) |
22,702,760 | how to multiply multiple columns by a column in Pandas | multiply column 'A' and column 'B' by column 'C' in datafram `df` | df[['A', 'B']].multiply(df['C'], axis='index') |
21,669,374 | convert string to hex in python | convert string 'a' to hex | hex(ord('a')) |
40,639,071 | How to sum the values of list to the power of their indices | Get the sum of values to the power of their indices in a list `l` | sum(j ** i for i, j in enumerate(l, 1)) |
4,241,757 | Python/Django: How to remove extra white spaces & tabs from a string? | remove extra white spaces & tabs from a string `s` | """ """.join(s.split()) |
16,233,593 | How to strip comma in Python string | replace comma in string `s` with empty string '' | s = s.replace(',', '') |
10,020,591 | How to resample a dataframe with different functions applied to each column? | Resample dataframe `frame` to resolution of 1 hour `1H` for timeseries index, summing values in the column `radiation` averaging those in column `tamb` | frame.resample('1H').agg({'radiation': np.sum, 'tamb': np.mean}) |
1,406,145 | How do I get rid of Python Tkinter root window? | null | root.destroy() |
37,934,969 | Creating a Pandas dataframe from elements of a dictionary | create a pandas dataframe `df` from elements of a dictionary `nvalues` | df = pd.DataFrame.from_dict({k: v for k, v in list(nvalues.items()) if k != 'y3'}) |
13,279,399 | How to obtain values of request variables using Python and Flask | Flask get value of request variable 'firstname' | first_name = request.args.get('firstname') |
13,279,399 | How to obtain values of request variables using Python and Flask | Flask get posted form data 'firstname' | first_name = request.form.get('firstname') |
38,379,453 | How to read only part of a list of strings in python | get a list of substrings consisting of the first 5 characters of every string in list `buckets` | [s[:5] for s in buckets] |
4,659,524 | how to sort by length of string followed by alphabetical order? | sort list `the_list` by the length of string followed by alphabetical order | the_list.sort(key=lambda item: (-len(item), item)) |
33,565,643 | how to slice a dataframe having date field as index? | Set index equal to field 'TRX_DATE' in dataframe `df` | df = df.set_index(['TRX_DATE']) |
20,222,485 | List comprehension with an accumulator | List comprehension with an accumulator in range of 10 | list(accumulate(list(range(10)))) |
14,524,322 | How to convert a date string to different format | How to convert a date string '2013-1-25' in format '%Y-%m-%d' to different format '%m/%d/%y' | datetime.datetime.strptime('2013-1-25', '%Y-%m-%d').strftime('%m/%d/%y') |
14,524,322 | How to convert a date string to different format | convert a date string '2013-1-25' in format '%Y-%m-%d' to different format '%-m/%d/%y' | datetime.datetime.strptime('2013-1-25', '%Y-%m-%d').strftime('%-m/%d/%y') |
38,426,168 | How to remove multiple columns that end with same text in Pandas? | get a dataframe `df2` that contains all the columns of dataframe `df` that do not end in `prefix` | df2 = df.ix[:, (~df.columns.str.endswith('prefix'))] |
8,556,076 | Python - How to extract the last x elements from a list | create list `new_list` containing the last 10 elements of list `my_list` | new_list = my_list[-10:] |
8,556,076 | Python - How to extract the last x elements from a list | get the last 10 elements from a list `my_list` | my_list[-10:] |
34,155,829 | How to efficiently convert Matlab engine arrays to numpy ndarray? | convert matlab engine array `x` to a numpy ndarray | np.array(x._data).reshape(x.size[::-1]).T |
42,747,987 | In pandas Dataframe with multiindex how can I filter by order? | select the first row grouped per level 0 of dataframe `df` | df.groupby(level=0, as_index=False).nth(0) |
27,516,849 | How to convert list of numpy arrays into single numpy array? | concatenate sequence of numpy arrays `LIST` into a one dimensional array along the first axis | numpy.concatenate(LIST, axis=0) |
41,552,839 | How can I convert literal escape sequences in a string to the corresponding bytes? | convert and escape string "\\xc3\\x85γ" to UTF-8 code | """\\xc3\\x85γ""".encode('utf-8').decode('unicode_escape') |
41,552,839 | How can I convert literal escape sequences in a string to the corresponding bytes? | encode string "\\xc3\\x85γ" to bytes | """\\xc3\\x85γ""".encode('utf-8') |
3,471,999 | How do I merge two lists into a single list? | interleave the elements of two lists `a` and `b` | [j for i in zip(a, b) for j in i] |
3,471,999 | How do I merge two lists into a single list? | merge two lists `a` and `b` into a single list | [j for i in zip(a, b) for j in i] |
8,282,553 | Removing character in list of strings | delete all occureces of `8` in each string `s` in list `lst` | print([s.replace('8', '') for s in lst]) |
14,737,222 | How to split a word into letters in Python | Split string `Hello` into a string of letters seperated by `,` | """,""".join('Hello') |
3,506,678 | In Django, how do I select 100 random records from the database? | in Django, select 100 random records from the database `Content.objects` | Content.objects.all().order_by('?')[:100] |
37,878,946 | Indexing one array by another in numpy | create a NumPy array containing elements of array `A` as pointed to by index in array `B` | A[np.arange(A.shape[0])[:, (None)], B] |
39,353,758 | pandas pivot table of sales | pivot dataframe `df` so that values for `upc` become column headings and values for `saleid` become the index | df.pivot_table(index='saleid', columns='upc', aggfunc='size', fill_value=0) |
22,229,255 | Confusing with the usage of regex in Python | match zero-or-more instances of lower case alphabet characters in a string `f233op ` | re.findall('([a-z]*)', 'f233op') |
22,229,255 | Confusing with the usage of regex in Python | match zero-or-more instances of lower case alphabet characters in a string `f233op ` | re.findall('([a-z])*', 'f233op') |
34,410,358 | Splitting a string based on a certain set of words | split string 'happy_hats_for_cats' using string '_for_' | re.split('_for_', 'happy_hats_for_cats') |
34,410,358 | Splitting a string based on a certain set of words | Split string 'sad_pandas_and_happy_cats_for_people' based on string 'and', 'or' or 'for' | re.split('_(?:for|or|and)_', 'sad_pandas_and_happy_cats_for_people') |
34,410,358 | Splitting a string based on a certain set of words | Split a string `l` by multiple words `for` or `or` or `and` | [re.split('_(?:f?or|and)_', s) for s in l] |
13,480,031 | How do I zip keys with individual values in my lists in python? | zip keys with individual values in lists `k` and `v` | [dict(zip(k, x)) for x in v] |
4,644,025 | Python how to sort this list? | Sort a list 'lst' in descending order. | sorted(lst, reverse=True) |
19,156,472 | Sorting numpy array on multiple columns in Python | sort array `order_array` based on column 'year', 'month' and 'day' | order_array.sort(order=['year', 'month', 'day']) |
19,156,472 | Sorting numpy array on multiple columns in Python | Sort a structured numpy array 'df' on multiple columns 'year', 'month' and 'day'. | df.sort(['year', 'month', 'day']) |
18,131,741 | Python: find out whether a list of integers is coherent | check if elements in list `my_list` are coherent in order | return my_list == list(range(my_list[0], my_list[-1] + 1)) |
34,776,651 | Concatenate rows of pandas DataFrame with same id | group rows of pandas dataframe `df` with same 'id' | df.groupby('id').agg(lambda x: x.tolist()) |
4,267,019 | Double-decoding unicode in python | encode `u'X\xc3\xbcY\xc3\x9f'` as unicode and decode with utf-8 | 'X\xc3\xbcY\xc3\x9f'.encode('raw_unicode_escape').decode('utf-8') |
379,906 | Parse String to Float or Int | parse string `a` to float | float(a) |
379,906 | Parse String to Float or Int | Parse String `s` to Float or Int | try:
return int(s)
except ValueError:
return float(s) |
610,883 | know if an object has an attribute | check if object `a` has property 'property' | if hasattr(a, 'property'):
pass |
610,883 | know if an object has an attribute | check if object `a` has property 'property' | if hasattr(a, 'property'):
pass |
610,883 | know if an object has an attribute | get the value of attribute 'property' of object `a` with default value 'default value' | getattr(a, 'property', 'default value') |
28,925,267 | delete every nth row or column in a matrix using Python | delete every 8th column in a numpy array 'a'. | np.delete(a, list(range(0, a.shape[1], 8)), axis=1) |
748,491 | How do I create a datetime in Python from milliseconds? | convert `ms` milliseconds to a datetime object | datetime.datetime.fromtimestamp(ms / 1000.0) |