Shape columns notification easily

Aug 6th, 2022
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How to shape columns notification

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hello everyone my name is mayuresh zoshi from office365nodes.com in todays video we will see how we can get only the modified columns using power automate for example you have a sharepoint list with lot of columns and you want to find out only those columns which have been updated by the end user so for example we have a sharepoint list as employee details and if someone updated the full name and age i should get notified about these two columns or we can also say using this tutorial you will be able to find only the columns and what the values have been updated so without further delay lets get started here is my employee details list where i have three columns title full name and h i am going to update the full name and age and the final outcome will be ill receive an email with only these two columns updated in case if i update only one column that is full name i should get notified about that column only so lets see how we can achieve this using power automate i will create on

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shape is a tuple that gives you an indication of the number of dimensions in the array. So in your case, since the index value of Y. shape[0] is 0, your are working along the first dimension of your array.
To understand the output, the tuple returned by the shape() method is the actual number of elements that represent the value of the dimension of the object. Usually, on a broader scale, the shape() method is used to fetch the dimensions of Pandas and NumPy type objects in python.
The shape of an array is the number of elements in each dimension.
The most regularly used shapes for columns in building projects are rectangular, circular and square shape. In most of the projects, rectangular column shape is preferred over circular columns. Sometimes square columns are also preferred over circular columns.
The shape property is usually used to get the current shape of an array, but may also be used to reshape the array in-place by assigning a tuple of array dimensions to it.
The shape attribute in numpy is used to return a tuple with the index numbers representing the dimension or shape of the given array.
shape[0] is 0, your are working along the first dimension of your array.
The strongest column has an equilateral triangle as cross section, and it is tapered along its length, being thickest in the middle and thinnest at its ends.

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