Deserialize a json string to an object in python
I have the following string
python
How to iterate over consecutive chunks of Pandas dataframe efficiently
I have a large dataframe (several million rows).
Best way to retrieve variable values from a text file?
Referring on this question, I have a similar -but not the same- problem..
Pyspark: Parse a column of json strings
I have a pyspark dataframe consisting of one column, called json, where each row is a unicode string of json. I’d like to parse each row and return a new dataframe where each row is the parsed json.
Some built-in to pad a list in python
I have a list of size < N and I want to pad it up to the size N with a value.
How to encode UTF8 filename for HTTP headers? (Python, Django)
I have problem with HTTP headers, they’re encoded in ASCII and I want to provided a view for downloading files that names can be non ASCII.
Get total physical memory in Python
How can I get the total physical memory within Python in a distribution agnostic fashion? I don’t need used memory, just the total physical memory.
TypeError: ‘dict_keys’ object does not support indexing
def shuffle(self, x, random=None, int=int): """x, random=random.random -> shuffle list x in place; return None. Optional arg random is a 0-argument function returning a random float in [0.0, 1.0); by default, the standard random.random. """ randbelow = self._randbelow for i in reversed(range(1, len(x))): # pick an element in x[:i+1] with which to exchange x[i] j … Read more
dropping rows from dataframe based on a “not in” condition
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
Distance between point and a line (from two points)
I’m using Python+Numpy (can maybe also use Scipy) and have three 2D points