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Pyspark timedelta?
Modified 5 years, 5 months ago. Column A column expression in a DataFramesql. The data to be converted to timedelta Denotes the unit of the arg for numeric arg This is a shortcoming of python's datetime which must be able to do datetime Java's LocalDate. freq str or DateOffset, default 'D' Frequency strings can have multiples, e '5H'. This tutorial explains how to add time to a datetime in PySpark, including an example. timedelta, and behaves in a similar manner, but allows compatibility with np. def time_delta(y,x): end = pd. Compared to pendulum. This leads to somewhat unusual results for negative timedeltas. 26. date_add(start, days)[source] ¶ Returns the date that is days days after start ソースコード: Lib/datetime. Viewed 38k times 25 I have the following sample dataframe. Pyspark date intervals and between dates? Asked 2 years, 7 months ago Modified 2 years, 7 months ago Viewed 6k times pysparkTimedeltaIndex Immutable ndarray-like of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects. def get_lastday(current): _first_day = current. pysparkto_timedelta(arg, unit: Optional[str] = None, errors: str = 'raise') ¶. datetime(2000, 1, 5, 0, 0), ' Databricks supports the following data types: Represents 8-byte signed integer numbers. PySpark Date and Timestamp Functions are supported on DataFrame and SQL queries and they work similarly to traditional SQL, Date and Time are very important if you are using PySpark for ETL. freq str or pandas offset object, optional. timedelta64 types as well as a host of custom representation, parsing. Add a comment | 9 Do not use direct imports like: import decimal import datetime It will cause: datetimetoday() decimal. Hot Network Questions Best Way to Determine if a Table has a Long Running Transaction Trying to create a 30 minute time bucket and i'm getting a the following attribute error: 'datetime. Timestamp difference in PySpark can be calculated by using 1) unix_timestamp () to get the Time in seconds and subtract with other time to get the seconds 2) Cast TimestampType column to LongType and subtract two long values to get the difference in seconds, divide it by 60 to get. timedelta to seconds or milliseconds having now an integer of (seconds or milliseconds) and work with it downstream in application, as it is but easier to work with and still represents a time interval in your chosen units. namestr, default None Name of the resulting TimedeltaIndex. timedelta to seconds or milliseconds having now an integer of (seconds or milliseconds) and work with it downstream in application, as it is but easier to work with and still represents a time interval in your chosen units. withColumn('Diff',(dt(dftime2))) The resulting new column has null value as follows: +-------------------+-------------------+----+. | time| time2|Diff|. In this tutorial, we explored the syntax and parameters of the function, as well as practical examples of converting strings to Timedeltas and performing calculations with them. If ‘raise’, then invalid parsing will raise an exception. pysparkto_timedelta Convert argument to timedelta. total_seconds()/60 N. One way to convert this timedelta column or series is to cast it to a Timedelta object (pandas 00+) and then extract the days from the object: td_seriesTimedelta)days) Another way is to cast the series as a timedelta64 in days, and then cast it as an int: td_series. pysparkto_timedelta(arg, unit: Optional[str] = None, errors: str = 'raise') ¶. This document covers the basic concepts and syntax of Spark data types. The data to be converted to timedelta Denotes the unit of the arg for numeric arg Oct 14, 2023 · From basic functions like getting the current date to advanced techniques like filtering and generating date ranges, this article offers tips and tricks to dealing with date and time data in. PySpark Date and Timestamp Functions are supported on DataFrame and SQL queries and they work similarly to traditional SQL, Date and Time are very important if you are using PySpark for ETL. from pysparkfunctions import year, month, dayofmonth from pyspark. Timestamp difference in PySpark can be calculated by using 1) unix_timestamp () to get the Time in seconds and subtract with other time to get the seconds 2) Cast TimestampType column to LongType and subtract two long values to get the difference in seconds, divide it by 60 to get. timedelta to seconds or milliseconds having now an integer of (seconds or milliseconds) and work with it downstream in application, as it is but easier to work with and still represents a time interval in your chosen units. namestr, default None Name of the resulting TimedeltaIndex. closed{None, 'left. pysparkfunctions ¶. I know timedelta is there but not sure about that. I have such DataFrame in PySpark (this is the result of a take (3), the dataframe is very big): The datatype of these columns is datetime64 [ns]. The timedelta object supports mathematical operations like additions, subtractions, multiplication, division etc 6Timedelta does not provide these attributes directly, it indeed provide a method called total_seconds, based on which days, hours, and minutes can be easily derived: import pandas as pdTimedelta("2 days 12:30:00") minutes = td hours = minutes/60 The table below shows which Python data types are matched to which PySpark data types internally in pandas API on Spark. This will be based off the origin. timedelta, and behaves in a similar manner, but allows compatibility with np. I figured I'd try and do this using a function: # Function to calculate time delta. GroupedData Aggregation methods, returned by DataFrame; pysparkDataFrameNaFunctions Methods for. Left bound for generating timedeltas. Here's what really happened. Excerpt from my pandemic diary, day 132: “The kids asked Alexa to play ‘Roar’ 53 times today. timedelta(hours=options. And the rich get richer. The idiomatic way to add seconds, minutes, hours, days, weeks to datetime objects. pysparkfunctions ¶. In pyspark I have a column called test_time. This is like a left-join except that we match on nearest key rather than equal keys. to_datetime(x) delta = (end-start) return delta. One of pandas date offset strings or corresponding objects. Timedelta Python helps in calculating the duration between two events. pysparkSparkSession Main entry point for DataFrame and SQL functionalitysql. Timedelta Python contains the following parameters: days, seconds, microseconds, milliseconds, minutes, hours, and weeks. The Python interpreter is telling you that are trying to concatenate a string (str) with a datetime Generally, you can only concatenate strings with strings. pysparkfunctions ¶. Extract the day of the week of a given date/timestamp as integer. pysparkto_timedelta Convert argument to timedelta. Most of all these functions accept input as, Date type, Timestamp type, or String. Suppose I am working with relative delta when it comes to months. Column [source] ¶ PySpark is a powerful tool for working with big data. Learn how to use Python timedelta to manipulate dates and times, calculate differences, and compare dates. Extract the day of the week of a given date/timestamp as integer. Represents values comprising values of fields year, month and day, without a time-zone. seconds ¶ Number of seconds (>= 0 and less than 1 day) for each elementpandasdays next pysparkTimedeltaIndex. Oct 8, 2018 · I would recommend, if possible, you to convert your pd. No, I'm not in the stock a recent convert to the serv. Here's how to manage it. PySpark Date and Timestamp Functions are supported on DataFrame and SQL queries and they work similarly to traditional SQL, Date and Time are very important if you are using PySpark for ETL. Duration or dateutilrelativedelta, datedelta. def time_delta(y,x): end = pd. The data to be converted to timedelta. timedelta to seconds or milliseconds having now an integer of (seconds or milliseconds) and work with it downstream in application, as it is but easier to work with and still represents a time interval in your chosen units. name : object Name to be stored in the index. Most of all these functions accept input as, Date type, Timestamp type, or String. Extract the day of the week of a given date/timestamp as integer. backhoes for sale under dollar10 000 time_d_min = time_d / datetime. If ‘raise’, then invalid parsing will raise an exception. freqstr or DateOffset, default 'D' Frequency strings can have multiples, e '5H'. GroupedData Aggregation methods, returned by DataFrame; pysparkDataFrameNaFunctions Methods for. to_datetime(y) start = pd. It is also used for retrieving the object with some delta date and time. You just need to subtract one day from today's datetimedelta object lets you create specific spans of time as a timedelta object. 6 of our favorite road trips from Phoenix, Arizona, include Gold Canyon, Flagstaff and Palm Springs. But now that winter's here in ful. PySpark Date and Timestamp Functions are supported on DataFrame and SQL queries and they work similarly to traditional SQL, Date and Time are very important if you are using PySpark for ETL. Avoid reserved column names. Use hour function to extract the hour from the timestamp format. Sep 3, 2022 · Delta Lake provides time travel functionalities to retrieve data at certain point of time or at certain version. Jan 21, 2018 · return (delta) dt = udf(diffdates, typ. def time_delta(y,x): end = pd. Parameters: arg str, timedelta, list-like or Series. to_datetime(x) delta = (end-start) return delta. Pandas is a widely used, intuitive, easy to learn. withColumn('Diff',(dt(dftime2))) The resulting new column has null value as follows: +-------------------+-------------------+----+. | time| time2|Diff|. class TimedeltaIndex (Index): """ Immutable ndarray-like of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects. budweiser clydesdale tour schedule Viewed 38k times 25 I have the following sample dataframe. Denotes the unit of the arg for numeric arg Must not be specified when arg context strings and errors="raise". timedelta64 types as well as a host of custom representation, parsing. current_date() → pysparkcolumn Returns the current date at the start of query evaluation as a DateType column. The data to be converted to timedelta Denotes the unit of the arg for numeric arg Oct 14, 2023 · From basic functions like getting the current date to advanced techniques like filtering and generating date ranges, this article offers tips and tricks to dealing with date and time data in. Resample time-series data. Problem: How to add or subtract hours, minutes, and seconds to/from Spark DataFrame date or timestamp columns? Solution: Spark SQL has no functions that. PYnative provides examples and exercises. Timedelta conversion on a dataframe column Asked 7 years, 11 months ago Modified 7 years, 11 months ago Viewed 10k times pandas. pysparkto_timedelta Convert argument to timedelta. As the documentation states: timedelta. If 'coerce', then invalid parsing will be set. Medicine Matters Sharing successes, challenges and daily happenings in the Department of Medicine Congratulations to the winners of this year's Johns Hopkins Medicine Clinical Awar. g: 00:03:56 Basically, I want to remove days and miliseconds part from timedelta object. g: 00:03:56 Basically, I want to remove days and miliseconds part from timedelta object. How can I add the Time_Zone_Offset to Start_Time as a number of hours? Example MyTable: id Start_Time. bars around me Using Python type hints is encouraged. pysparkfunctions. Icahn Enterprises (IEP) stock is falling again today after Hindenburg Research released an updated short report on the company. from_utc_timestamp (timestamp: ColumnOrName, tz: ColumnOrName) → pysparkcolumn. By clicking "TRY IT", I agree to receive newsletters and promotions from Money and its. The column is currently a Date datatype. To overcome this, you can convert both dates in unix timestamps (in seconds) and compute the difference. Pandas is a widely used, intuitive, easy to learn. namestr, default None Name of the resulting TimedeltaIndex. closed{None, 'left. Improve this question. Sep 3, 2022 · Delta Lake provides time travel functionalities to retrieve data at certain point of time or at certain version. Want to sit next to an empty seat? It's going to cost you. See Also -------- Index : The base pandas Index type. It changes the datatype of a Serie from "timedelta" to "int" and the time difference is presented in full days. pysparkto_timedelta(arg, unit: Optional[str] = None, errors: str = 'raise') ¶. This parameter exists for compatibility. The deed is the piece of paper that proves ownership was transferred to you A popular video shows two kayakers who appear to be eaten by a whale in Avila Beach, California. to_datetime(x) delta = (end-start) return delta. The data to be converted to timedelta. day of the week for given date/timestamp as integer. pysparkfunctions.
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timedelta to seconds or milliseconds having now an integer of (seconds or milliseconds) and work with it downstream in application, as it is but easier to work with and still represents a time interval in your chosen units. Every time I run this, I get this error: How could I add 7 seconds to each converted time. In this chapter, you will learn how to import, manipulate and use this kind of data with pyspark. pysparkto_timedelta(arg, unit: Optional[str] = None, errors: str = 'raise') ¶. class TimedeltaIndex (Index): """ Immutable ndarray-like of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects. Most of all these functions accept input as, Date type, Timestamp type, or String. lag(col:ColumnOrName, offset:int=1, default:Optional[Any]=None)→ pysparkcolumn Window function: returns the value that is offsetrows before the current row, anddefaultif there is less than offsetrows before the current row. Timestamp difference in PySpark can be calculated by using 1) unix_timestamp () to get the Time in seconds and subtract with other time to get the seconds 2) Cast TimestampType column to LongType and subtract two long values to get the difference in seconds, divide it by 60 to get. Calculate time difference between consecutive rows in pairs per group in pyspark Asked 4 years, 6 months ago Modified 1 year, 8 months ago Viewed 5k times Code description This code snippets shows you how to add or subtract milliseconds (or microseconds) and seconds from a timestamp column in Spark DataFrame. Convert argument to timedelta argstr, timedelta, list-like or Series. After all, kids are loud and boist When you’re highly sensitive, being a mom can sharpen your sensitivitie. timedelta(days = d, hours = h, minutes=m, seconds=s). PySpark error: AttributeError: 'NoneType' object has no attribute '_jvm' Asked 7 years, 8 months ago Modified 1 year, 5 months ago Viewed 133k times Immutable ndarray-like of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects. EDIT 2: Note that this is for a time series and I anticipate the list growing on a daily basis for COVID-19 cases as they are reported on a daily basis by each county/region within each state. The object must have a datetime-like index (only support DatetimeIndex for now), or the caller must pass the label of a datetime-like series/index to the on keyword parameter4 start str or timedelta-like, optional. +-------------------+-------------------+----+. class TimedeltaIndex (Index): """ Immutable ndarray-like of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects. ts_pattern = "YYYY-MM-dd HH:mm:ss:SSS". Optional timedelta-like data to construct index with. timedelta] [source] ¶ Parameters startstr or timedelta-like, optional Left bound for generating timedeltas. May 3, 2024 · 20 mins read. how to unlock your car in greenville roblox on xbox Indices Commodities Currencies Stocks When you’re highly sensitive, being a mom can sharpen your sensitivities. May 17, 2015 · What I want to do is find duration by subtracting EndDateTime and StartDateTime. unitstr, optional Denotes the unit of the arg for numeric arg We would like to show you a description here but the site won't allow us. endstr or timedelta-like, optional Right bound for generating timedeltas. It always performs floating point. May 17, 2015 · What I want to do is find duration by subtracting EndDateTime and StartDateTime. >>> today = datetimetoday() >>> todaydatetime(2010, 3, 9, 18, 25, 19, 474362) start str or timedelta-like, optional. I can feel my sanity slipping. (NYSE:KMX) reported worse-than-expected Q3 results. If ‘raise’, then invalid parsing will raise an exception. Float data type, representing single precision floats Null type. In this post, we'll see how we can use the timedelta object in the datetime module. The data to be converted to timedelta. GroupedData Aggregation methods, returned by DataFrame; pysparkDataFrameNaFunctions Methods for. The data to be converted to timedelta. cast of kingsman Many income tax filing options and deductions aren't available to unmarried couples who live together. IntegerType()) Time_Diff = df. Reason pyspark to_timestamp parses only till seconds, while TimestampType have the ability to hold milliseconds. plusMonths () increments the month and then ensures a valid date by decrementing the day field to the last valid date in the month. Extract the day of the week of a given date/timestamp as integer. I have a data frame in Pyspark. I have to add the minutes in the additional time column to actual time and create an output as below in pyspark. Discover how to handle large datasets with Python Polars and Apache Spark. You want either: from datetime import timedelta. If ‘raise’, then invalid parsing will raise an exception. Hot Network Questions PySpark 1. Learn how to create a 100M row fake dataset in just 2 minutes, without costly cloud solutions. For example,an offsetof one will return the previous row at any given point. In this tutorial, we explored the syntax and parameters of the function, as well as practical examples of converting strings to Timedeltas and performing calculations with them. to_datetime(x) delta = (end-start) return delta. Can you explain what it does in a best possible way? from pysparkfunctions import lit df_with_timestamp. The data to be converted to timedelta. The following seems to be working for me (someone let me know if this is bad form or inaccurate though). Timedelta conversion on a dataframe column Asked 7 years, 11 months ago Modified 7 years, 11 months ago Viewed 10k times pandas. to_datetime(y) start = pd. PySpark Timestamp Difference - Date & Time in String Format. to_datetime(y) start = pd. q connect fusd I can feel my sanity slipping. Date is a date string of format YYYY-MM-DD, and Time is a string of format HH:MM. For demonstration, here is a sample code: import datetime. Mar 27, 2024 · PySpark Timestamp Difference – Date & Time in String Format. timedelta to seconds or milliseconds having now an integer of (seconds or milliseconds) and work with it downstream in application, as it is but easier to work with and still represents a time interval in your chosen units. IntegerType()) Time_Diff = df. Do not use duplicated column names. Possible duplicate of How to convert datetime from string format into datetime format in pyspark? I tried to do it with python list, map and lambda functions but I had conflicts with PySpark functions: def transform(df1): # Number of entry to keep per row # Add a column for the count of occurencewithColumn("future_occurences", F. timedelta(week - 1) is a datetime Both of these objects can be converted to a string by using str(). It is one of the easiest ways to perform date manipulations. localize(datetime( 2021, 3, 19, 10 )) print (a) # 2021-03-19 10:00:00+01:00. seconds ¶ property TimedeltaIndex. 305 2 2 silver badges 13 13 bronze badges. Timestamp difference in PySpark can be calculated by using 1) unix_timestamp () to get the Time in seconds and subtract with other time to get the seconds 2) Cast TimestampType column to LongType and subtract two long values to get the difference in seconds, divide it by 60 to get. approxQuantile(col: Union[str, List[str], Tuple[str]], probabilities: Union[List[float], Tuple[float]], relativeError: float) → Union [ List [ float], List [ List [ float]]] [source] ¶. If ‘raise’, then invalid parsing will raise an exception. where ( df_with_timestamp. name str, default None. Convert argument to timedelta. String representations of timedelta objects are normalized similarly to their internal representation. I understand that I can convert my datetimetimedelta to enable subtraction from another datetime BUT I'm trying to avoid casting time to timedelta because I'm reading times from a large file and it's expensive to cast every time to timedelta.
Represents byte sequence values. target date or timestamp column to work on. Christmas Traditions in Australia - Christmas in Australia is a warm-weather holiday. Denotes the unit of the arg for numeric arg Must not be specified when arg context strings and errors="raise". Name of the resulting. pysparkfunctions ¶. relativedelta import relativedelta #get first and last day of this and last month) today = dttoday() first_day_this. datedelta. Parameters arg str, timedelta, list-like or Series. holistic obgyn near me The string 'infer' can be passed in. Denotes the unit of the arg for numeric arg Must not be specified when arg context strings and errors="raise". I am trying to create a list of the last days of each month for the past n months from the current date but not including current month I tried different approaches: def last_n_month_end(n_months):. Returns a new DataFrame omitting rows with null valuesdropna() and DataFrameNaFunctions. party city delivery Most of the commonly used SQL functions are either part of the PySpark Column class or built-in pysparkfunctions API, besides these PySpark also supports many other SQL functions, so in order to use these, you have to use. No, I'm not in the stock a recent convert to the serv. pysparkTimedeltaIndex Immutable ndarray-like of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects. May 3, 2024 · 20 mins read. I figured I'd try and do this using a function: # Function to calculate time delta. zopiclone max dose 15mg No grand 2023 S&P 500 EPS estimates or lofty price targets from this. May 17, 2015 · What I want to do is find duration by subtracting EndDateTime and StartDateTime. pysparkto_timedelta(arg, unit: Optional[str] = None, errors: str = 'raise') ¶. Jan 21, 2018 · return (delta) dt = udf(diffdates, typ. It is in dd/MM/yyyy) The to_timedelta function is an essential tool in pandas for handling time durations and performing arithmetic operations involving time-based data. One way to convert this timedelta column or series is to cast it to a Timedelta object (pandas 00+) and then extract the days from the object: td_seriesTimedelta)days) Another way is to cast the series as a timedelta64 in days, and then cast it as an int: td_series. Denotes the unit of the arg for numeric arg Must not be specified when arg context strings and errors="raise". The data to be converted to timedelta Denotes the unit of the arg for numeric arg Oct 14, 2023 · From basic functions like getting the current date to advanced techniques like filtering and generating date ranges, this article offers tips and tricks to dealing with date and time data in.
approxQuantile(col: Union[str, List[str], Tuple[str]], probabilities: Union[List[float], Tuple[float]], relativeError: float) → Union [ List [ float], List [ List [ float]]] [source] ¶. This can be done easily using the following two options when reading from delta table as DataFrame: versionAsOf - an integer value to specify a version To subtract year from timestamp/date in pyspark we will be using date_sub () function with column name and mentioning the number of days (round about way to subtract year) to be subtracted as argument as shown below. pysparkTimedeltaIndex Immutable ndarray-like of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects. localize(datetime( 2021, 3, 19, 10 )) print (a) # 2021-03-19 10:00:00+01:00. As @John Gordon pointed out casting to an integer should solve this TypeError. The data to be converted to timedelta Denotes the unit of the arg for numeric arg Oct 14, 2023 · From basic functions like getting the current date to advanced techniques like filtering and generating date ranges, this article offers tips and tricks to dealing with date and time data in. endstr or timedelta-like, optional Right bound for generating timedeltas. Hot Network Questions Best Way to Determine if a Table has a Long Running Transaction Trying to create a 30 minute time bucket and i'm getting a the following attribute error: 'datetime. Oct 8, 2018 · I would recommend, if possible, you to convert your pd. periodsint, optional Number of periods to generate. timedelta, you'll get a datetime That's how the code above works. Optional timedelta-like data to construct index with. Returns null, in the case of an unparseable string1 The date_sub function in PySpark is a handy tool for manipulating dates. timedelta to seconds or milliseconds having now an integer of (seconds or milliseconds) and work with it downstream in application, as it is but easier to work with and still represents a time interval in your chosen units. Represents values comprising values of fields year, month and day, without a time-zone. Goal: Part of this is trying to : Given a date, add time interval (X years, X months, X weeks), return date ie input args: input_time (datetime. thanksgiving copypasta Most of all these functions accept input as, Date type, Timestamp type, or String. Pyspark date intervals and between dates? Asked 2 years, 7 months ago Modified 2 years, 7 months ago Viewed 6k times pysparkTimedeltaIndex Immutable ndarray-like of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects. Denotes the unit of the arg for numeric arg Must not be specified when arg context strings and errors="raise". In our example to birthdaytime column we will be subtracting 365 days i 1 year. The data to be converted to timedelta Denotes the unit of the arg for numeric arg Oct 14, 2023 · From basic functions like getting the current date to advanced techniques like filtering and generating date ranges, this article offers tips and tricks to dealing with date and time data in. approxQuantile(col: Union[str, List[str], Tuple[str]], probabilities: Union[List[float], Tuple[float]], relativeError: float) → Union [ List [ float], List [ List [ float]]] [source] ¶. Date is a date string of format YYYY-MM-DD, and Time is a string of format HH:MM. The 'timedelta ()' function of Python is present in the datetime library, which is usually used to calculate differences in given dates. I figured I'd try and do this using a function: # Function to calculate time delta. All calls of current_date within the same query return the same value5 pysparkto_timedelta¶ pysparkto_timedelta (arg, unit: Optional [str] = None, errors: str = 'raise') [source] ¶ Convert argument to timedelta. Suppose I am working with relative delta when it comes to months. I figured I'd try and do this using a function: # Function to calculate time delta. Which is an integer/float number. I want to appoint datetime. The rapid spread of the coronavirus pandemic has put a freeze on many in-person sales and transactions for goods and services, so in what might be a sign of the times for funding i. register g timedelta # # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. Avoid reserved column names. Spark also offers two other data types to represent "intervals of time", which are. to_timedelta(arg, unit=None, errors='raise') [source] #. last_day(date: ColumnOrName) → pysparkcolumn Returns the last day of the month which the given date belongs to5 Changed in version 30: Supports Spark Connect I have a PySpark dataframe with a single string column, from which I seek to compose an additional column containing the corresponding UTC timestamp (See 2 example rows, and column data type): df A datetime. May 3, 2024 · 20 mins read. def time_delta(y,x): end = pd. unit of the arg (D,s,ms,us,ns) denote the unit, which is an integer or float number. If a String used, it should be in a default format that can be cast to date. Most of all these functions accept input as, Date type, Timestamp type, or String. How can I add the Time_Zone_Offset to Start_Time as a number of hours? Example MyTable: id Start_Time. But now that winter's here in ful. Smoky cumin and spicy chili powder flavor these succulent baked salmon fillets. If 'raise', then invalid parsing will raise an exception. I am looking to calculate the date 6 months from the current date. pysparkto_timedelta Convert argument to timedelta.