modified = dt.fromtimestamp(os.path.getmtime(source)) modified = Time(tz.localize(modified)) accessed = dt.fromtimestamp(os.path.getatime(source)) accessed = Time(tz.localize(accessed))print("Source\n===")print("Created: {}\nModified: {}\nAccessed: {}".format( created, modified, acce...
for i in range(0, n): # for loop to take the input l.append(input("Enter the item?")); # The input is taken from the user and added to the list as the item print("printing the list items..."); for i in l: # traversal loop to print the list items print(i, end = " ...
def get_element_with_comparison(my_list): if len(my_list) > 0: return my_list[0] def get_first_element(my_list): if len(my_list): return my_list[0] elements = [1, 2, 3, 4] first_result = get_element_with_comparison(elements) second_result = get_element_with_comparison(elemen...
i in word_to_int_dict. items()} return word_to_int_dict, int_to_word_dict word_to_int_dict, int_to_word_dict = create_dictionaries(vocab) int_to_word_dict
from datetimeimportdatetimeimportmatplotlib.pylabasplt 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # 读取数据,pd.read_csv默认生成DataFrame对象,需将其转换成Series对象 df=pd.read_csv('AirPassengers.csv',encoding='utf-8',index_col='date')df.index=pd.to_datetime(df.index)# 将字符串索引转...
nunique count combine keys values set_axis isnull sparse first_valid_index combine_first ewm notnull empty mask truncate to_csv bool at clip radd to_markdown value_counts first isna between_time replace sample idxmin div iloc add_suffix pipe to_sql items max rsub flags sem to_string to_...
(ops_conn=None): items = ['current-cfg-file', 'next-cfg-file'] filtering_str = ';'.join(items) uri = "{}".format(f'/restconf/data?fields=/huawei-cfg:cfg/startup-infos/startup-info({filtering_str})') req_data = None ret, _, rsp_data = ops_conn.get(uri, req_data) if ...
mapPartitionsWithIndex(func [,preservesPartitioning=False]) ---Similar tomapPartitions, but takes two parameters. The first parameter is the index of the partition and the second is an iterator through all the items within this partition. The output is an iterator containing the list of items aft...
items() items method is used to display the dictionary elements. It will display all the key-value pairs present in the dictionary. It returns a view object which will contain all the key-value pairs as tuples in a list. It does not take any parameters. ...
itry = np.random.choice(range(self.noffsets))offset = self.offsets[itry]new = tuple(np.array(position) + np.array(offset))return self.periodic_wrap(new) # Starting from location position, take nstep random walk stepsdef RandomWalk(self, position, nstep):track = []current = position...