==== tasks ==== Policy: group | related items, sort by | descending order of (nontriviality, interestingness, and usefulness etc.,) * [[convert dict of dicts to list of dicts]] * [[Convert a dictionary of dataframes to a big dataframe]] * [[Convert a string to a dictionary]] ==== find key corresponding to a value ==== The following will find the first key corresponding to a given value >>> d ={1:'A', 2:'B', 3:'A', 4:'B'} >>> key_list = list(d.keys()) >>> val_list = list(d.values()) >>> lookup_val = 'A' >>> position = val_list.index(lookup_val) >>> key_val = key_list[position] >>> print(key_val) 1 >>> lookup_val = 'B' >>> position = val_list.index(lookup_val) >>> key_val = key_list[position] >>> print(key_val) 2 Sample use case: * In https://github.com/KamarajuKusumanchi/notebooks/blob/master/finvizfinance/target_price.ipynb , I used the above technique to find the index corresponding to 'Target Price'. ==== initialize a dictionary ==== In [1]: d = {'sun': 1, 'mon': 2, 'tue': 3} d Out[1]: {'sun': 1, 'mon': 2, 'tue': 3} ==== dump dictionary to file ==== You can use pprint (stands for pretty print) $ ipython Python 3.10.9 | packaged by conda-forge | (main, Jan 11 2023, 15:15:40) [MSC v.1916 64 bit (AMD64)] IPython 8.8.0 -- An enhanced Interactive Python. Type '?' for help. In [1]: import pprint cats = [{'name': 'Zophie', 'desc': 'chubby'}, {'name': 'Pooka', 'desc': 'fluffy'}] pprint.pformat(cats) Out[1]: "[{'desc': 'chubby', 'name': 'Zophie'}, {'desc': 'fluffy', 'name': 'Pooka'}]" In [2]: fileObj = open('myCats.py', 'w') fileObj.write('cats = ' + pprint.pformat(cats) + '\n') fileObj.close() In [3]: exit() $ cat myCats.py cats = [{'desc': 'chubby', 'name': 'Zophie'}, {'desc': 'fluffy', 'name': 'Pooka'}] $ ipython Python 3.10.9 | packaged by conda-forge | (main, Jan 11 2023, 15:15:40) [MSC v.1916 64 bit (AMD64)] IPython 8.8.0 -- An enhanced Interactive Python. Type '?' for help. In [1]: import myCats myCats.cats Out[1]: [{'desc': 'chubby', 'name': 'Zophie'}, {'desc': 'fluffy', 'name': 'Pooka'}] In [2]: myCats.cats[0] Out[2]: {'desc': 'chubby', 'name': 'Zophie'} In [3]: myCats.cats[0]['name'] Out[3]: 'Zophie' In [4]: exit() Ref:- * pprint is discussed in https://automatetheboringstuff.com/2e/chapter9/ -> Saving Variables with the pprint.pformat() Function ==== merge python dictionaries ==== To merge two python dictionaries def merge_two_dicts(x, y): ''' Given two dicts, merge them into a new dict as a shallow copy. For common keys, the values in y take precedence over values in x. ''' z = x.copy() z.update(y) return z Sample usage: >>> x = {'a': 1, 'b': 2} >>> y = {'b': 3, 'c': 4} >>> z = merge_two_dicts(x, y) >>> z {'a': 1, 'c': 4, 'b': 3} To merge an undefined number of dicts def merge_dicts(*dict_args): ''' Given any number of dicts, shallow copy and merge into a new dict, precedence goes to key value pairs in latter dicts. ''' result = {} for dictionary in dict_args: result.update(dictionary) return result Given dicts a to g z = merge_dicts(a, b, c, d, e, f, g) will give a new dict z with all the key-value pairs. If same key exists in multiple dictionaries, the right most one will take precedence. Ref:- http://stackoverflow.com/questions/38987/how-to-merge-two-python-dictionaries-in-a-single-expression ==== Convert a dictionary to a string ==== $ ipython Python 3.10.6 | packaged by conda-forge | (main, Oct 24 2022, 16:02:16) [MSC v.1916 64 bit (AMD64)] Type 'copyright', 'credits' or 'license' for more information IPython 8.4.0 -- An enhanced Interactive Python. Type '?' for help. In [1]: d = {'a':1, 'b':2} In [2]: import json s = json.dumps(d) In [3]: d Out[3]: {'a': 1, 'b': 2} In [4]: s Out[4]: '{"a": 1, "b": 2}' In [5]: type(d) Out[5]: dict In [6]: type(s) Out[6]: str