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Articles on Trending Technologies
Technical articles with clear explanations and examples
How to check if the Azure resource group is empty or not using PowerShell?
To check if the resource group is empty or not we need to check if the resource group contains any resources.For this example, We have a resource group name called the TestRG and we need to check if it is empty.Example$resources = Get-AzResource -ResourceGroupName TestRG if($resources){"Resource group is not empty"} else{"Resource group is empty"}OutputResource group is emptyTo check if the resource groups in the particular subscription are empty or not, use the below code.OutputConnect-AZAccount Set-AzContext -SubscriptionName 'Your Subscription Name' $rgs = Get-AzResourceGroup Write-Output "Empty Resource Groups" foreach($rg in $rgs.ResourceGroupName){ $resources = Get-AzResource -ResourceGroupName $rg if(!($resources)){ $rg } }
Read MoreHow to create a temporary file using PowerShell?
To create a temporary file with the PowerShell, we can use the New-TemporaryFile command. This command creates a temporary file tmp.tmp where NNNN represents the random hexadecimal number.ExamplePS C:\> New-TemporaryFile Directory: C:\Users\Administrator.AUTOMATIONLAB\AppData\Local\Temp Mode LastWriteTime Length Name ---- ------------- ------ ---- -a---- 4/10/2021 9:14 PM 0 tmpF624.tmpThe output path is selected based on the path defined at Path.GetTempPath() https://docs.microsoft.com/
Read MoreHow to get the disk performance using PowerShell?
To get the disk performance using PowerShell, we need to use the Performance counter of the disk. There are performance counters available for the Physical disk or the logical disk. To check what the disks related counter sets are available we can use the below command, ExamplePS C:\> Get-Counter -ListSet "*disk*" | Select CounterSetNameOutputCounterSetName -------------- FileSystem Disk Activity Storage Spaces Virtual Disk LogicalDisk PhysicalDiskWe will use a Logical disk to get more information about it. We will retrieve its counter first.ExampleGet-Counter -ListSet LogicalDisk | Select -ExpandProperty CounterOutputWe need to retrieve the Disk read time counter, ExampleGet-Counter -Counter '\LogicalDisk(*)\% Disk Read ...
Read MoreHow to get the windows performance counter using PowerShell?
To get the Windows Performance counter using the Powershell, we can use the Get-Counter cmdlet.There are various performance counters available to measure the performance of the windows operating system. Get-Counter cmdlet is used to retrieve the performance of the local or the remote systems with the specific counter name.When you just run a Get-Counter command, it shows the main basic counters like Nic, Processor, disks, etc on the local system. as shown below.ExamplePS C:\> Get-Counter Timestamp CounterSamples --------- -------------- 4/7/2021 7:41:42 PM ...
Read MoreHow to plot the lines first and points last in Matplotlib?
To plot the lines first and points last, we can take the following Steps −Create xpoints, y1points and y2points using numpy, to draw lines.Plot the curves using the plot() method with x, y1 and y2 points.Draw the scatter points using the scatter method.To display the figure, use the show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True xpoints = np.linspace(1, 1.5, 10) y1points = np.log(xpoints) y2points = np.exp(xpoints) plt.plot(xpoints, y1points) plt.plot(xpoints, y2points) for i in xpoints: plt.scatter(i, np.random.randint(10)) plt.show()Output
Read MoreHow can I create a stacked line graph with matplotlib?
To create a stacked lines graph with Python, we can take the following Steps −Create x, y, y1 and y2 points using numpy.Plot the lines using numpy with the above data (Step 1) and labels mentioned.Fill the color between curve y=e^x and y=0, using the fill_between() method.Fill the color between curve y=2x and y=0, using the fill_between() method.Fill the color between curve y=log(x) and y=0, using fill_between() method.Place the curve text using the legend() method.To display the figure, use the show() method.Exampleimport matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(1, 5, 100) y = x * 2 y1 = np.log(x) ...
Read MoreHow do I change matplotlib's subplot projection of an existing axis?
It seems difficult to change the projection of an existing axis, but we can take the following steps to create different type projections −Using subplot() method, add a subplot to the current figure, with nrows=1, ncols=3 and current index=1.Add a title to the current axis.Using subplot() method, add a subplot to the current figure, with nrows=1, ncols=3 and current index=2, projection=hammer.Add a title to current axis, hammer.Using subplot() method, add a subplot to the current figure, with nrows=1, ncols=3 and current index=3, projection=polar.Add a title to current axis, polar.To display the figure, use the show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = ...
Read MoreMatplotlib Plots Lose Transparency When Saving as .ps/.eps
Whenever plots are saved in .eps/.ps, then the transparency of the plots get lost.To compare them, we can take the following Steps −Create x_data and y_data using numpy.Plot x_data and y_data (Step 1), using the plot() method, with less aplha value, to make it more transparent.Use the grid() method to prove the transparency of the line.Save the created plot in .eps format.To display the figure, use the show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x_data = np.linspace(1, 10, 100) y_data = np.sin(x_data) plt.plot(x_data, y_data, c='green', marker='o', alpha=.35, ms=10, lw=1) plt.grid() plt.savefig("lost_transparency_img.eps") plt.show()OutputThe PostScript backend ...
Read MoreHow to plot a gradient color line in matplotlib?
To plot a gradient color line in matplotlib, we can take the following steps −Create x, y and c data points, using numpy.Create scatter points over the axes (closely so as to get a line), using the scatter() method with c and marker='_'.To display the figure, use the show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-1, 1, 1000) y = np.exp(x) c = np.tan(x) plt.scatter(x, y, c=c, marker='_') plt.show()Output
Read MoreSuperscript in Python plots
To put some superscript in Python, we can take the following steps −Create points for a and f using numpy.Plot f = ma curve using the plot() method, with label f=ma.Add title for the plot with superscript, i.e., kgms-2.Add xlabel for the plot with superscript, i.e., ms-2.Add ylabel for the plot with superscript, i.e., kg.To place the legend, use legend() method.To display the figure, use the show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True a = np.linspace(1, 10, 100) m = 20 f = m*a plt.plot(a, f, c="red", lw=5, label="f=ma") plt.title("Force $\mathregular{kgms^{-2}}$") plt.xlabel("Acceleration $\mathregular{ms^{-2}}$") plt.ylabel("Acceleration $\mathregular{kg}$") ...
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