Try this: Make sure your PC is connected to the Internet. If Update Options is missing under Product Information, and the About button is the only option available, you either have a volume license or your company is using Group Policy to manage Office updates. The wooden button ID has been changed from woodenbutton to oakbutton. The names of buttons have been split into button and stone button. Buttons now come in all six types of wood. Buttons can no longer be placed on top of pistons. Buttons now have an underside texture. GRANDSTREAM NETWORKS GDSManager Release Note Page 3 VERSION 1.0.1.2 PRODUCT NAME GDSManager Management Utility Software (Free) DATE SUMMARY OF UPDATE The main purpose of this release is bug fixes and feature enhancement. What’s New 1. NoxPlayer will recommend the best performance settings based on different games 2. Sound settings added to the system settings Allow users to change the speakers manually in case of problems. Computer model added to the System KEEP READING. There continue to be problems with high-bit characters in pages when Confluence is deployed on Resin Release Notes 1.0 Upgrading from RC6 We haven't made any changes to the database schema, so you should just be able to install the new version of Confluence, point it at your existing confluenceHome directory, and carry on as before. Note that this routine does not filter a dataframe on its contents. The filter is applied to the labels of the index. Parameters items list-like. Keep labels from axis which are in items. Keep labels from axis for which “like in label True”. Regex str (regular expression) Keep labels from axis for which re.search(regex, label.

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Release date: 10/05/2012
Type: Bug patch, no new features

Bugs Fixed

• [MYPLAN-717] – Recent Audit Reports list in right gutter not updated after audit is complete – until page is refreshed.
• [MYPLAN-776] – When database service was down, the Plan page took about 1 to 1 and 1/2 minutes to load.
• [MYPLAN-787] – Update text when there’s no bookmarked courses
• [MYPLAN-830] – Audit “Updating” text and image under shadow
• [MYPLAN-837] – Timeout too long, and with no informative message, when Find Courses doesn’t get a response from service.
• [MYPLAN-850] – Inline help bubble cut-off (went off screen)
• [MYPLAN-857] – Mouse pointer(cursor) should not change to finger pointer when hover over Credits/Quarter Offered, etc
• [MYPLAN-858] – Hover highlight color is inconsistent and didn’t highlight 100% of vertical space
• [MYPLAN-878] – IE9: Square corners appear on gold buttons when ghosted or hovered over.
• [MYPLAN-884] – Inaccurate wording of “edge-case” error message encountered in adviser view.
• [MYPLAN-891] – Search result pages handling
• [MYPLAN-896] – Adviser View links to WordPress site – not the Help section
• [MYPLAN-900] – Long course titles creating text misalignment
• [MYPLAN-902] – Error text is incorrect
• [MYPLAN-907] – IE8: Apostrophe in the word “we’re” is not displayed properly in Audit error message.
• [MYPLAN-913] – Audit reports are not being saved
• [MYPLAN-917] – Unexpected error messages when attempting to run audit with SWS audit service unavailable.
• [MYPLAN-919] – Adviser View message on Course Details page, regarding course taken needs “on” changed to “in”.
• [MYPLAN-921] – 0 Messages Case
• [MYPLAN-923] – Hovering over a help icon (?) raises two “bubbles” or “tooltips”.
• [MYPLAN-924] – Time schedule anchors for courses with a space in their course codes not all working.
• [MYPLAN-930] – Can’t copy planned or backup course from past quarter.
• [MYPLAN-931] – Course search page keeps on loading on search
• [MYPLAN-933] – The page which reports that the user’s browser is unsupported has the wrong title.
• [MYPLAN-934] – Drama Audit error in creating links to courses — also throws javascript errors in IE
• [MYPLAN-936] – Some confusion around Bookmark/AddToPlan popover invoked by course link in Audit report.
• [MYPLAN-938] – Course status: bookmarked course status is not consistent
• [MYPLAN-940] – Status wording for a course withdrawn from could be improved.
• [MYPLAN-958] – Awkward phrase added to “Bookmarked” status message in adviser view.
• [MYPLAN-960] – FF: Chrome: Safari: “Learn more about Adviser View” link in disabled feature message, not working in non-IE browsers
• [MYPLAN-966] – IE8 unexpectedly raises a security warning when user confirms deletion of a bookmarked course.

Read an Excel file into a pandas DataFrame.

Supports xls, xlsx, xlsm, xlsb, and odf file extensionsread from a local filesystem or URL. Supports an option to reada single sheet or a list of sheets.

Any valid string path is acceptable. The string could be a URL. ValidURL schemes include http, ftp, s3, and file. For file URLs, a host isexpected. A local file could be: file://localhost/path/to/table.xlsx.

If you want to pass in a path object, pandas accepts any os.PathLike.

By file-like object, we refer to objects with a read() method,such as a file handler (e.g. via builtin open function)or StringIO.

Strings are used for sheet names. Integers are used in zero-indexedsheet positions. Lists of strings/integers are used to requestmultiple sheets. Specify None to get all sheets.

Available cases:

• Defaults to 0: 1st sheet as a DataFrame

• 1: 2nd sheet as a DataFrame

• 'Sheet1': Load sheet with name “Sheet1”

• [0,1,'Sheet5']: Load first, second and sheet named “Sheet5”as a dict of DataFrame

• None: All sheets.

Row (0-indexed) to use for the column labels of the parsedDataFrame. If a list of integers is passed those row positions willbe combined into a MultiIndex. Use None if there is no header.

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List of column names to use. If file contains no header row,then you should explicitly pass header=None.

Column (0-indexed) to use as the row labels of the DataFrame.Pass None if there is no such column. If a list is passed,those columns will be combined into a MultiIndex. If asubset of data is selected with usecols, index_colis based on the subset.

• If None, then parse all columns.

• If str, then indicates comma separated list of Excel column lettersand column ranges (e.g. “A:E” or “A,C,E:F”). Ranges are inclusive ofboth sides.

• If list of int, then indicates list of column numbers to be parsed.

• If list of string, then indicates list of column names to be parsed.

• If callable, then evaluate each column name against it and parse thecolumn if the callable returns True.

Returns a subset of the columns according to behavior above.

If the parsed data only contains one column then return a Series.

Data type for data or columns. E.g. {‘a’: np.float64, ‘b’: np.int32}Use object to preserve data as stored in Excel and not interpret dtype.If converters are specified, they will be applied INSTEADof dtype conversion.

If io is not a buffer or path, this must be set to identify io.Acceptable values are None, “xlrd”, “openpyxl” or “odf”.

Dict of functions for converting values in certain columns. Keys caneither be integers or column labels, values are functions that take oneinput argument, the Excel cell content, and return the transformedcontent.

Values to consider as True.

Values to consider as False.

Rows to skip at the beginning (0-indexed).

Number of rows to parse.

New in version 0.23.0.

Additional strings to recognize as NA/NaN. If dict passed, specificper-column NA values. By default the following values are interpretedas NaN: ‘’, ‘#N/A’, ‘#N/A N/A’, ‘#NA’, ‘-1.#IND’, ‘-1.#QNAN’, ‘-NaN’, ‘-nan’,‘1.#IND’, ‘1.#QNAN’, ‘<NA>’, ‘N/A’, ‘NA’, ‘NULL’, ‘NaN’, ‘n/a’,‘nan’, ‘null’.

Whether or not to include the default NaN values when parsing the data.Depending on whether na_values is passed in, the behavior is as follows:

• If keep_default_na is True, and na_values are specified, na_valuesis appended to the default NaN values used for parsing.

• If keep_default_na is True, and na_values are not specified, onlythe default NaN values are used for parsing.

• If keep_default_na is False, and na_values are specified, onlythe NaN values specified na_values are used for parsing.

• If keep_default_na is False, and na_values are not specified, nostrings will be parsed as NaN.

Note that if na_filter is passed in as False, the keep_default_na andna_values parameters will be ignored.

Detect missing value markers (empty strings and the value of na_values). Indata without any NAs, passing na_filter=False can improve the performanceof reading a large file.

Indicate number of NA values placed in non-numeric columns.

The behavior is as follows:

• bool. If True -> try parsing the index.

• list of int or names. e.g. If [1, 2, 3] -> try parsing columns 1, 2, 3each as a separate date column.

• list of lists. e.g. If [[1, 3]] -> combine columns 1 and 3 and parse asa single date column.

• dict, e.g. {‘foo’ : [1, 3]} -> parse columns 1, 3 as date and callresult ‘foo’

If a column or index contains an unparseable date, the entire column orindex will be returned unaltered as an object data type. If you don`t want toparse some cells as date just change their type in Excel to “Text”.For non-standard datetime parsing, use pd.to_datetime after pd.read_excel.

Note: A fast-path exists for iso8601-formatted dates.

Function to use for converting a sequence of string columns to an array ofdatetime instances. The default uses dateutil.parser.parser to do theconversion. Pandas will try to call date_parser in three different ways,advancing to the next if an exception occurs: 1) Pass one or more arrays(as defined by parse_dates) as arguments; 2) concatenate (row-wise) thestring values from the columns defined by parse_dates into a single arrayand pass that; and 3) call date_parser once for each row using one ormore strings (corresponding to the columns defined by parse_dates) asarguments.

Thousands separator for parsing string columns to numeric. Note thatthis parameter is only necessary for columns stored as TEXT in Excel,any numeric columns will automatically be parsed, regardless of displayformat.

Comments out remainder of line. Pass a character or characters to thisargument to indicate comments in the input file. Any data between thecomment string and the end of the current line is ignored.

Rows at the end to skip (0-indexed).

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Convert integral floats to int (i.e., 1.0 –> 1). If False, all numericdata will be read in as floats: Excel stores all numbers as floatsinternally.

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Duplicate columns will be specified as ‘X’, ‘X.1’, …’X.N’, rather than‘X’…’X’. Passing in False will cause data to be overwritten if thereare duplicate names in the columns.

Optional keyword arguments can be passed to TextFileReader.

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DataFrame from the passed in Excel file. See notes in sheet_nameargument for more information on when a dict of DataFrames is returned.

See also

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Write DataFrame to an Excel file.

Write DataFrame to a comma-separated values (csv) file.

Read a comma-separated values (csv) file into DataFrame.

Read a table of fixed-width formatted lines into DataFrame.

Examples

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The file can be read using the file name as string or an open file object:

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Index and header can be specified via the index_col and header arguments

Column types are inferred but can be explicitly specified

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True, False, and NA values, and thousands separators have defaults,but can be explicitly specified, too. Supply the values you would likeas strings or lists of strings!

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Comment lines in the excel input file can be skipped using the comment kwarg