Index Is Datetime And I Want The Row Number

Aggregation - A function that accepts an array of all values of this column in this row group and returns a single value to display in the result row. The return value must be of the type specified by the object's type property. Details on creating your own aggregation function are given below.

You must know what data types this method accepts and only call it on columns of the appropriate type. The API provides several useful aggregation functions. See Provided Aggregation Functions below for a list, or Creating an aggregation function to learn how to write your own aggregation function. The ResultSet interface provides getter methods for retrieving column values from the current row. Values can be retrieved using either the index number of the column or the name of the column.

In general, using the column index will be more efficient. For maximum portability, result set columns within each row should be read in left-to-right order, and each column should be read only once. For the getter methods, a JDBC driver attempts to convert the underlying data to the Java type specified in the getter method and returns a suitable Java value. The JDBC specification has a table showing the allowable mappings from SQL types to Java types that can be used by the ResultSet getter methods. Updates the designated column with a java.sql.SQLXML value.

The updater methods are used to update column values in the current row or the insert row. The updater methods do not update the underlying database; instead the updateRow or insertRow methods are called to update the database. Updates the designated column with a java.sql.NClob value. Updates the designated column with a java.sql.Array value. Updates the designated column with a java.sql.Clob value. Updates the designated column with a java.sql.Blob value.

Updates the designated column with a java.sql.Ref value. Updates the designated column with a java.sql.BigDecimalvalue. Updates the designated column with a java.sql.Timestampvalue.

Updates the designated column with a java.sql.Time value. Updates the designated column with a java.sql.Date value. It is intended for use when updating NCHAR,NVARCHARand LONGNVARCHAR columns. Updates the designated column with a byte array value.

The updater methods do not update the underlying database; instead the updateRowor insertRow methods are called to update the database. Updates the designated column with a character stream value, which will have the specified number of bytes. Updates the designated column with a binary stream value, which will have the specified number of bytes. Updates the designated column with an ascii stream value, which will have the specified number of bytes. Updates the designated column with a java.math.BigDecimalvalue. Adds created_at and updated_at columns on the database, setting each to datetime types.

When true is passed as the first argument a timestamp type is used instead. Both columns default to being not null and using the current timestamp when true is passed as the second argument. Note that on MySQL the .timestamps() only have seconds precision, to get better precision use the .datetime or .timestamp methods directly with precision.

If useCamelCase is true, the name of columns are createdAt and updatedAt. These functions are supported only for table calculations . When iterating over a large number of rows that contain columns from multiple tables, peewee will reconstruct the model graph for each row returned.

For example, if we were selecting a list of tweets along with the username and avatar of the tweet's author, Peewee would have to create two objects for each row . In addition to the above row-types, there is a fourth method objects()which will return the rows as model instances, but will not attempt to resolve the model graph. Column names used as input to getter methods are case insensitive. When a getter method is called with a column name and several columns have the same name, the value of the first matching column will be returned. The column name option is designed to be used when column names are used in the SQL query that generated the result set. For columns that are NOT explicitly named in the query, it is best to use column numbers.

If column names are used, the programmer should take care to guarantee that they uniquely refer to the intended columns, which can be assured with the SQL AS clause. The DataTable object is used to hold the data passed into a visualization. Each column has a descriptor that includes its data type, a label for that column , and an ID, which can be used to refer to a specific column . The DataTable object also supports a map of arbitrary properties assigned to a specific value, a row, a column, or the whole DataTable. The first week of any year is the week that contains the first Thursday of the year, and thus always contains January 4.

For dates from December 29, this could be the next year, and for dates until January 3 this could be the previous year, depending on how week 1 begins. Cypher does not support leap seconds; UTC-SLS is used to manage the difference in time between UTC and TAI . The expression datetime().epochMillis returns the equivalent value of the timestamp() function. For the nanosecond part of the epoch offset, the regular nanosecond component (instant.nanosecond) can be used. As evident in the output, the data types of the 'Date' column is object (i.e., a string) and the 'Date2' is integer.

Note, you can convert a NumPy array to a Pandas dataframe, as well, if needed. In the next section, we will use the to_datetime() method to convert both these data types to datetime. TwoDArray A two-dimensional array, where each row represents a row in the data table.

If opt_firstRowIsData is false , the first row will be interpreted as header labels. The data types of each column are interpreted automatically from the data given. If a cell has no value, specify a null or empty value as appropriate. Opt_firstRowIsData Whether the first row defines a header row or not. If false, the first row is assumed to be a header row, and the values are assigned as column labels.

Pattern String pattern that was used by a data source to format numeric, date, or time column values. This is for reference only; you probably won't need to read the pattern, and it isn't required to exist. The Google Visualization client does not use this value (it reads the cell's formatted value). If the DataTable has come from a data source in response to a query with a format clause, the pattern you specified in that clause will probably be returned in this value.

The recommended pattern standards are the ICU DecimalFormat and SimpleDateFormat . A default ResultSet object is not updatable and has a cursor that moves forward only. Thus, you can iterate through it only once and only from the first row to the last row.

It is possible to produce ResultSet objects that are scrollable and/or updatable. Each window function requires an OVER clause that specifies the window top and bottom. The three components of the OVERclause provide additional control over the window. Partitioning enables you to divide the input data into logical groups that have a common characteristic. Ordering enables you to order the results within a partition.

Framing enables you to create a sliding window frame within a partition that moves relative to the current row. You can configure the size of the moving window frame based on a number of rows or a range of values, such as a time interval. In this post, you have converted strings and integers to datetime. First, you have learned how to use the to_datetime() method. Remember, it is not possible to change the data type from integer to datetime if you use the later method.

Finally, you have also learned how to specify which columns that are of datetime type when reading a CSV and Excel file. Selection_arrayAn array of selected objects, each one describing a data element in the underlying table used to create the visualization . Each object has properties row and/or column, with the index of the row and/or column of the selected item in the underlying DataTable. You can call the DataTable.getValue() method to get the value of the selected item. The retrieved array can be passed into setSelection(). Retrieves the value of the designated column in the current row of this ResultSet object as a java.sql.Timestamp object in the Java programming language.

This method uses the given calendar to construct an appropriate millisecond value for the timestamp if the underlying database does not store timezone information. Gives the JDBC driver a hint as to the number of rows that should be fetched from the database when more rows are needed for this ResultSet object. If the fetch size specified is zero, the JDBC driver ignores the value and is free to make its own best guess as to what the fetch size should be. The default value is set by the Statement object that created the result set. Retrieves the value of the designated column in the current row of this ResultSet object as a stream of two-byte Unicode characters. The first byte is the high byte; the second byte is the low byte.

This method is particularly suitable for retrieving large LONGVARCHAR values. The JDBC technology-enabled driver will do any necessary conversion from the database format into Unicode. Retrieves the value of the designated column in the current row of this ResultSet object as as a stream of two-byte 3 characters.

This method is particularly suitable for retrieving large LONGVARCHARvalues. The JDBC driver will do any necessary conversion from the database format into Unicode. A ResultSet object maintains a cursor pointing to its current row of data.

Initially the cursor is positioned before the first row. Implemented for the PostgreSQL, MySQL, and SQLite databases. A modifier for insert queries that specifies alternative behaviour in the case of a conflict. The default behaviour in case of conflict is to raise an error and abort the query. Creates a timetable and preallocates space for the variables that have data types you specify. Sz is a two-element numeric array, where sz specifies the number of rows and sz specifies the number of variables.

Of a timetable are datetime or duration values that label the rows. You can index into a timetable by row time and variable. To index into a timetable, use smooth parentheses () to return a subtable or curly braces to extract the contents. You can reference variables and the vector of row times using names. For more information on indexing, see Select Times in Timetableand Access Data in Tables. Note, if your dates are formatted differently and in these examples you can use the format parameter as well.

For more information about the to_datetime() method check out the documentation. Now that you have changed the data type in the dataframe, you can, for example, use Pandas value_count() method to count occurrences in a column. In the next section, we will carry out the same conversion task but using the astype() method. In Pandas, you can convert a column (string/object or integer type) to datetime using the to_datetime() and astype() methods. Furthermore, you can also specify the data type (e.g., datetime) when reading your data from an external source, such as CSV or Excel. The duration and resource consumption of the sort operation will change depending on the number of rows to be sorted.

In this context, we can easily say that sorting operation is very costly for the SQL Server when it works for a huge number of rows. For this reason, we can use indexes to eliminate the costly sort operations in the queries. However, using indexes can decrease the performance of the insert, update and delete statements and they also increase disk space usage of the database files. When we take into account all of these points, we need to think twice to use indexes in order to improve the sort operation performance in the queries. Such conditions are often created in the belief that you cannot pass different types than numbers and strings to the database.

That means you can for example use a java.util.Date object as bind parameter. Optionally selects a data entry in the visualization—for example, a point in an area chart, or a bar in a bar chart. When this method is called, the visualization should visually indicate what the new selection is. The implementation of setSelection() should not fire a "select" event. For example, a table that can show only selected rows may ignore cell or column elements in its setSelection() implementation, or it can select the entire row.

Method Return Value Description createQueryFromPrefs google.visualization.Query Static. Create a new instance of google.visualization.Query and set its properties according to values from the gadget preferences. Preference _table_query_url is used to set the Query data source URL. GetNumberOfColumns() Number Returns the number of columns in the table.

GetNumberOfRows() Number Returns the number of rows in the table. GetProperties Object Returns a map of all the properties for the specified cell. Note that the properties object is returned by reference, so changing values in the retrieved object changes them in the DataTable. Retrieves the value of the designated column in the current row of this ResultSet object as a stream of ASCII characters. The JDBC driver will do any necessary conversion from the database format into ASCII. Pandas has a built-in solution for this which uses HDF5 , a high-performance storage format designed specifically for storing tabular arrays of data.

Pandas' HDFStore class allows you to store your DataFrame in an HDF5 file so that it can be accessed efficiently, while still retaining column types and other metadata. It is a dictionary-like class, so you can read and write just as you would for a Python dict object. ¶Return the data for the specified year ready for formatting. Each month contains between 4 and 6 weeks and each week contains 1–7 days. When creating table calculations, you can use positional transformation functions to extract information about fields in different rows or pivot columns. You can also create lists and retrieve the current row or pivot column index.

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Will Apple Stock Rise Tomorrow

MarketBeat empowers individual investors to make better trading decisions by providing real-time financial data and objective market analysis. Stock price aside, Apple is bigger and, by some measures, stronger today that it was then. And it is making so much money - analysts expect the company to report another solid quarter next week - that it has been having trouble figuring out what to do with all of its cash. Speculation is rife that Apple might pass some cash to shareholders in the form of an increased stock dividend. European equities finished mixed, with the markets digesting a host of economic data on both sides of the pond, including another mixed read on U.S. German industrial production surprisingly dipped in November, though its exports unexpectedly jumped for that month.

Bond yields have moved higher as the Fed is expected to ramp-up monetary policy tightening and as the Bank of England surprised the markets last month by raising its benchmark interest rate. The information presented in this site is not intended to be used as the sole basis of any investment decisions, nor should it be construed as advice designed to meet the investment needs of any particular investor. Nothing in our research constitutes legal, accounting or tax advice or individually tailored investment advice. Our research is prepared for general circulation and has been prepared without regard to the individual financial circumstances and objectives of persons who receive or obtain access to it. Our research is based on sources that we believe to be reliable.

Some discussions contain forward looking statements which are based on current expectations and differences can be expected. All of our research, including the estimates, opinions and information contained therein, reflects our judgment as of the publication or other dissemination date of the research and is subject to change without notice. Further, we expressly disclaim any responsibility to update such research.

Past performance is not a guarantee of future results, and a loss of original capital may occur. None of the information presented should be construed as an offer to sell or buy any particular security. As always, use your best judgment when investing.

Asian shares snapped two days of losses on Friday, climbing as investors waited to see whether U.S. jobs data due later in the day would reinforce the need for faster U.S. interest rate hikes. MSCI's broadest index of Asia-Pacific shares outside Japan rose 0.3%, boosted by a 1.2% gain in the Australian benchmark where bank stocks were to the fore, though Japan's Nikkei gave up early gains to slip 0.66%. Global markets attempted to recover on Friday from the previous session's battering, sparked by the potential for sooner-than-expected rate hikes by the U.S. The sell-off saw investors dump shares of companies that don't do well in a higher-rate environment such as the technology sector.

31 Wall Street research analysts have issued "buy," "hold," and "sell" ratings for Apple in the last twelve months. There are currently 1 sell rating, 5 hold ratings, 23 buy ratings and 2 strong buy ratings for the stock. The consensus among Wall Street research analysts is that investors should "buy" Apple stock. View analyst ratings for Apple or view top-rated stocks. "It's important to remember that monthly payroll reports are lagging indicators that are largely already priced into stocks.

The data can also be subject to large revisions, so investors need to be careful not to overreact one way or the other in the short term. Although price weighted indices may have been useful at one point, many investment professionals now see such indices as unrealistic – and outdated – ways of measuring the market. An accusation that is perhaps not surprising, given the original methodology began in 1896. What it also highlights is that the stocks in leading indices are not selected by algorithm, as one might expect, but by committee. The 30 companies in the Dow are decided by committee and their selection does not seem to follow any consistent process, making it difficult to forecast what the committee will include.

The unemployment rate fell to 3.9% from November's 4.2% rate, versus expectations of a dip to 4.1%. The underemployment rate—including total unemployed and those employed part time for economic reasons, along with people who are marginally attached to the labor force—dropped to 7.3% from the prior month's 7.7% rate. The Labor Department noted that the number of unemployed persons decreased by 483,000 to 6.3 million, with this figure down by 4.5 million over the year. In February 2020, prior to the pandemic, the unemployment rate was 3.5% and unemployed persons numbered 5.7 million. Average hourly earnings increased 0.6% m/m, north of projections calling for a match of November's positively-revised 0.4% rise.

Year-over-Year (y/y), wages were 4.7% higher, above forecasts of a 4.2% rise. Finally, average weekly hours remained at November's downwardly-revised 34.7, below estimates to rise to 34.8. For an economy to show dynamism and growth, some level of 'creative destruction' – where unproductive or unsustainable companies die out and make room for more productive ones – is needed. For years, analysts have bemoaned 'zombie' companies, kept afloat only by the cheap credit that the world's central bankers created since the global financial crisis. Many also cite this as one of the reasons for the sluggish productivity growth seen over the last decade.

Will Apple Stock Go Up Next Week Chapter 11 bankruptcy is not the end for a firm, but a reorganisation of its finances and business affairs. In fact, American businesses filing for Chapter 11 are often able to carry on trading, sometimes even coming back stronger than before. On the first day of trading in 2022, the Silicon Valley company's shares hit an intraday record high of $182.88, putting Apple's market value just above $3 trillion.

The stock ended the session up 2.5% at $182.01, with Apple's market capitalization at $2.99 trillion. It is a remarkable turn in one of the standout stock market stories of recent years. Only seven months ago, Apple's share price raced above $700 to a record high, making Apple the most valuable company on the planet. By Thursday, the stock had sunk to $392.05, closing below $400 for the first time since late 2011. Alternatively, assess the AAPL premarket stock price ahead of the market session or view the after hours quote. View the Apple Inc real time stock price chart below to monitor the latest movements.

You can find more details by visiting the additional pages to view historical data, charts, latest news, analysis or visit the forum to view opinions on the AAPL quote. Rose by 199,000 jobs month-over-month (m/m) in December, well below the Bloomberg consensus estimate of a 450,000 rise, while November's figure was upwardly-adjusted to an increase of 249,000. Excluding government hiring and firing, private sector payrolls increased by 211,000, versus the forecasted rise of 400,000, after increasing by a positively-revised 270,000 in November.

The labor force participation rate remained at November's upwardly-revised 61.9% figure, in line with forecasts. The Department of Labor said employment continued to trend up in leisure and hospitality, in professional and business services, in manufacturing, in construction, and in transportation and warehousing. Damon Verial is a statistical analyst who uses his skills to research stocks, options, and investment strategies. In addition, Damon is the writer of Copy My Trades, a trade-alert, subscription-based newsletter, available at his personal website. He is also the writer of Exposing Earnings, an in-depth earnings prediction service here on Seeking Alpha.

The Share price of tech giant Apple rose unexpectedly in the last week. The stock prices rose sharply after a Bloomberg reported that the company is pushing for development of its electric car and focusing the project around self-driving capabilities. The price cap will likely rise a sickening 51% on 1 April.It's revalued six-monthly, based on wholesale energy prices, which are now astronomical (see how the price cap's set). The latest evaluation period finishes this month, so predictions are firming up. Analysts Cornwall Insight's latest is the cap will rise 51%, that's £1,925/yr for someone on typical use.

Other predictions range from a 46% to 56% rise. It'll likely hit pockets immediately, as even while April usage is lower, direct debits will be upped then based on annual usage. Unsurprisingly, with this prediction many are asking me if they should now move off the price cap to fix? After number-crunching, for most, it's still a 'no', but for the first time in many months, fixing may be worth it for a few... From an investment perspective, this productivity and focus on effective corporate structure has benefitted US markets. US corporate earnings growth have outperformed other regions over the long-term.

Allowing companies to go bankrupt – but restructure operations to become more sustainable – could be a big part of this. As such – and as long as bankruptcies stay in the big business world rather than the small – a little creative destruction is nothing to be scared of. Large corporate bankruptcies in the US are running at a faster pace than ever. So far in 2020, 157 US companies with liabilities of more than $50 million have filed for Chapter 11 bankruptcy, beating the record-setting years after the dotcom and financial crises. But others remain bullish over Apple's prospects given the company's propensity to engage in value-raising buybacks and a growing public embrace of new technologies like 5G, wearable tech and artificial intelligence.

Apple's revenue from services was also 19 per cent in fiscal 2021, up from 18 per cent two years ago and 15 per cent three years ago – a positive sign for investors seeking predictability and reliability. Moreover, as supply constraints – specifically those relating to the global semiconductor shortage - ease, Apple's revenues in the coming quarters are likely to surpass those recorded in the previous fiscal. Apple Inc. designs, manufactures and markets smartphones, personal computers, tablets, wearables and accessories, and sells a variety of related services.

The Company's products include iPhone, Mac, iPad, and Wearables, Home and Accessories. IPhone is the Company's line of smartphones based on its iOS operating system. Mac is the Company's line of personal computers based on its macOS operating system. IPad is the Company's line of multi-purpose tablets based on its iPadOS operating system.

Wearables, Home and Accessories includes AirPods, Apple TV, Apple Watch, Beats products, HomePod, iPod touch and other Apple-branded and third-party accessories. AirPods are the Company's wireless headphones that interact with Siri. Apple Watch is the Company's line of smart watches. Its services include Advertising, AppleCare, Cloud Services, Digital Content and Payment Services.

Its customers are primarily in the consumer, small and mid-sized business, education, enterprise and government markets. Wall Street's main indexes scored record closing highs on Friday and booked solid gains for the week following a strong U.S. jobs report and positive data for Pfizer's experimental pill against COVID-19. The S&P 500 and the Nasdaq notched record high closes for their seventh straight sessions, while the Dow Jones Industrial Average also closed at a record. All three indexes posted weekly gains for their fifth straight weeks. The Dow Jones Industrial Average , or simply known as "Dow", is a widely-watched benchmark index in the US for blue chip stocks.

The DJIA is a price-weighted index that tracks 30 large, publicly-owned companies trading on the New York Stock Exchange and the Nasdaq. In 2012, the Dow Jones Indexes were bought by S&P Dow Jones Indices LLC. It's a joint venture between S&P Global, the controlling member, and the CME Group. Read MoreThe Dow Jones Industrial Average , or simply known as "Dow", is a widely-watched benchmark index in the US for blue chip stocks. We sell different types of products and services to both investment professionals and individual investors. These products and services are usually sold through license agreements or subscriptions.

Our investment management business generates asset-based fees, which are calculated as a percentage of assets under management. We also sell both admissions and sponsorship packages for our investment conferences and advertising on our websites and newsletters. "September is historically a tough month, and the first week was not a good sign," says Anthony Denier, CEO of trading platform Webull. On December 12, 1980, Apple stock began trading on the Nasdaq at $22 per share. Steve Jobs, the largest shareholder, made $217 million on the first day of trading. By the end of trading on that Friday afternoon, Apple's stock price had risen by almost 32%, closing near a stock price of $29 and resulting in a market value of $1.778 billion for Apple.

Bitcoin has been caught up in a global sell-off for risky assets and growth assets after the US Federal Reserve signaled it was likely to raise interest rates at a quicker pace than previously anticipated. That will create opportunities for returns in less risky areas and should drive up the cost of capital for many businesses. That's particularly bad for growth-focused tech companies, many of which rely on cheap funding to keep the party going. Apple is the 5th-largest economy in the world, he says without sarcasm. For a generation holding onto stocks longer than expected (because bonds don't pay like they used to ), Apple is the exact asset to replace fixed income. It has ridiculous free cash flow and boasts double-digit revenue growth and profit expansion.

It's up 25% this quarter so far and up 8% this month so far. Apple now is the heaviest traded stock in terms of options volumes as it hits new highs. This jump could be due to investors seeing Apple as a safe haven or a recent analyst upgrade, but the market is putting big bets of $215 to go higher. Other stocks are tired, but Apple is running into year-end. Apple was recently just in the high-140s and now at 180s. Metaverse and maybe a car are the next big addressable markets.

Don't go crazy buying right now, but don't sell just because expectations are lower. MSCI's broadest index of Asia-Pacific shares outside Japan edged 0.3% higher to touch a one-month top. Japan's Nikkei fell 0.3% and S&P 500 futures were flat.

Moody's Daily Credit Risk Score is a 1-10 score of a company's credit risk, based on an analysis of the firm's balance sheet and inputs from the stock market. The score provides a forward-looking, one-year measure of credit risk, allowing investors to make better decisions and streamline their work ow. Updated daily, it takes into account day-to-day movements in market value compared to a company's liability structure. Thanks to the astronomical rise over the years, Apple split the stock again in June 2014, this time seven-for-one. Three years later, in 2017, with Tim Cook at the helm and a services business providing a bulk of revenue, Apple's stock price is still steadily climbing. Four years later, in September 2012, when Apple's stock price first broke $700 per share , one share of Apple bought on IPO day would now be eight shares with an impressive overall return rate of 25,439%.

StockInvest.us is a research service that provides financial data and technical analysis of publicly traded stocks. All users should speak with their financial advisor before buying or selling any securities. Users should not base their investment decision upon StockInvest.us. By using the site you agree and are held liable for your own investment decisions and agree to the Terms of Use and Privacy Policy.Please read the full disclaimer here. Latest news is collected from various sources, and might have a positive or negative effect on stock prices for short term.

Today's report from high street lender Halifax shows a new record average price of £276,091, representing a rise of over £24,500 or 9.8% during 2021. This is the strongest annual growth since July 2007, driven by a lack of available homes for sale and low mortgage rates. It's worth mentioning that unlike other tech companies like Microsoft – which is fast approaching the $3 trillion mark itself – Apple's revenues are disproportionately dependent on a single product category– the iPhone. What's more, it is also possible that rising optimism over an economic rebound may see investors funnel some money out of tech stocks in the months ahead. The pandemic has propelled Apple's sales as many turned to the brand's products either for work, study or to socialise.

The economic uncertainty that prevailed during the first year of the pandemic also saw investors flock to tech stocks, traditionally viewed as safety stocks during periods of larger economic turbulence. But that was just one more bit of downbeat news in what has been a downbeat few months. All told, $290 billion has been wiped off Apple's value since September. It might seem difficult to believe, but Apple now ranks among the biggest losers in the stock market over the past seven months, right next to the J.C. Penney Co., that sick man of U.S. department stores.

The last time Apple was trading this low was in November 2011. Steve Jobs had just died and everyone wondered how Apple would carry on without its visionary leader. Fusion Mediawould like to remind you that the data contained in this website is not necessarily real-time nor accurate. Apple is the perfect example of the stock market today. They just delivered a strong quarter, but suffered revenues shortfalls from the chip shortage. The street is dead wrong about Apple and sold it off today.