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4 min readTo keep only a specific item of a list within a pandas dataframe, you can use the .loc method to filter out the rows that do not contain the desired item. You can specify the column where the list is stored and use the .str accessor to access the elements of the list. Then, you can use the .str.contains method to check if the item is present in the list. Finally, you can use the .loc method to keep only the rows that meet the condition.
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4 min readTo get case insensitive records from Oracle, you can use the UPPER() or LOWER() functions in your query. By applying these functions to the column you want to search, you can ensure that the query is not case sensitive. For example, you can use a query like this: SELECT * FROM table_name WHERE UPPER(column_name) = UPPER('search_value'); This query will return records where the column_value matches the search_value regardless of the case.
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5 min readIn Matplotlib, the inset_axes function allows you to create a smaller inset axes within the main plot.
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5 min readTo add two or more images using matplotlib, you can use the imshow() function multiple times in the same figure. First, you need to import the necessary libraries, such as matplotlib and numpy. Then, create a figure and add subplots using the subplots() function. Afterwards, use the imshow() function to display each image on the different subplots. You can adjust the position, size, and other properties of the images as needed.
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3 min readTo plot a 2D intensity plot in matplotlib, you can use the imshow function. This function takes a 2D array as input and displays it as an image. You can customize the appearance of the plot by setting parameters such as the colormap, interpolation method, and axis labels. Additionally, you can add a colorbar to show the intensity scale of the plot.imshow(data, cmap='viridis', interpolation='nearest') plt.colorbar() plt.xlabel('X Axis Label') plt.
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5 min readTo parse a text file using REGEXP_SUBSTR in Oracle, you can use regular expressions to extract specific patterns or data from the text file. REGEXP_SUBSTR is a function in Oracle that allows you to search for a substring within a string using a regular expression pattern.You can start by reading the text file into Oracle using the UTL_FILE package or another method of your choice.
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4 min readTo iterate over a pandas DataFrame to create another DataFrame, you can use the iterrows() method to iterate over the rows of the DataFrame. You can then manipulate the data as needed and create a new DataFrame using the Pandas constructor. Keep in mind that iterating over rows in a DataFrame is not always the most efficient method, as it can be slower than using vectorized operations. It is recommended to use vectorized operations whenever possible for better performance.
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3 min readTo change the number of bins in matplotlib, you can use the hist() function and pass the desired number of bins as an argument. For example, if you want to create a histogram with 10 bins, you can use plt.hist(data, bins=10). This will divide the data into 10 bins and plot the histogram accordingly. You can adjust the number of bins to suit your data and visualization needs.[rating:58883602-bf7e-4247-81d0-31ae8b29af79]What is the default number of bins in matplotlib.
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4 min readTo create a line chart using matplotlib, you first need to import the matplotlib library. Then, you can use the plt.plot() function to plot your data points on a graph. You can customize the appearance of the chart by adding labels to the x and y axes, setting the title of the chart, and changing the line color or style. Finally, you can display the chart using the plt.show() function.[rating:58883602-bf7e-4247-81d0-31ae8b29af79]What is the x-axis in a line chart.
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6 min readIn Matplotlib, you can set axis values by using the set_xlim() and set_ylim() methods for the x-axis and y-axis respectively. You can pass in the minimum and maximum values for the axis range as arguments to these methods.For example, to set the x-axis range from 0 to 10 and the y-axis range from 0 to 20, you can use the following code: import matplotlib.pyplot as plt plt.plot([1, 2, 3, 4], [10, 15, 13, 18]) plt.xlim(0, 10) plt.ylim(0, 20) plt.
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7 min readTo merge a group of records in Oracle, you can use the MERGE statement. The MERGE statement allows you to update or insert data into a target table based on a specified condition. You first need to specify the source data set by using a subquery or a table. Then, you define the target table and the condition for merging the data. The MERGE statement will match the records in the source and target tables based on the condition and perform the appropriate action (update or insert) as required.