Posts - Page 135 (page 135)
-
4 min readIn pandas, you can access keys in a DataFrame using square brackets. You can access individual columns by passing the column name inside the square brackets, like df['column_name'].To access multiple columns, you can pass a list of column names inside the square brackets, like df[['column_name1', 'column_name2']].You can also access rows by using the iloc or loc methods.
-
5 min readThere are a few different ways to move data from a SQL Server database to an Oracle database. One common method is to use Oracle's SQL Developer tool, which has a built-in feature for migrating data from third-party databases. This tool allows you to connect to both your SQL Server and Oracle databases, select the tables you want to transfer, and then run a data migration wizard to move the data.
-
3 min readIn pandas, you can style a column based on a condition using the Styler class which allows you to apply various styles to your DataFrame.To style a column based on a condition, you first create a function that defines the condition and then use the applymap method from the Styler class to apply your custom function to the DataFrame.For example, let's say you have a DataFrame df and you want to style the column 'A' based on a condition where the value is greater than 0.
-
5 min readTo insert a zero instead of a null in Oracle, you can use the NVL function. The NVL function allows you to specify a default value to replace any null values in a column.
-
4 min readTo upgrade your Python pandas version, you can use the following steps:First, check the current version of pandas that you are using by running the following command in your Python environment: import pandas as pd print(pd.__version__) If you have an older version of pandas installed, you can upgrade it using the pip package manager.
-
4 min readTo trim leading zeroes in comma separated values in Oracle, you can use the LTRIM function. This function removes all leading occurrences of a specified character (in this case, '0') from a string.You can achieve this by first splitting the comma separated values into individual strings using the SPLIT function or a similar method. Then, you can apply the LTRIM function to each individual string to remove the leading zeroes.
-
3 min readTo drop multiple columns from a dataframe using pandas, you can simply use the .drop() method and pass a list of column names that you want to remove as the labels parameter. For example, if you have a dataframe df and you want to drop columns named 'column1' and 'column2', you can use the following code: df.drop(['column1', 'column2'], axis=1, inplace=True). This will drop the specified columns from the dataframe inplace.
-
6 min readTo enable autocommit in Oracle permanently, you need to modify the database configuration settings. By default, Oracle does not have autocommit enabled, so you will need to update the database parameters to ensure that changes are automatically committed after each transaction. This can be done by setting the 'autocommit' parameter to 'ON' in the Oracle database configuration file.
-
4 min readTo restore values between other values in pandas, you can use the fillna() method along with the method parameter. This parameter allows you to specify a method for filling the missing values in a DataFrame. By using a method like bfill (backward fill) or ffill (forward fill), you can effectively restore values between other values in a DataFrame. This is particularly useful when dealing with missing or NaN values in a dataset.
-
8 min readTo bind Oracle params in Scala, you can use the Oracle JDBC driver to connect to the database and execute SQL queries that contain parameters. To bind parameters, you can use prepared statements, which allow you to set parameters before executing the query. You can use the set methods on the prepared statement object to bind parameters by index or name. Here's an example of how you can bind Oracle params in Scala: import java.sql.
-
4 min readTo filter data in a list of pandas dataframes, you can use the .loc[] method along with conditional statements to extract the desired data. You can specify the conditions inside the square brackets of .loc[] to filter rows based on specific criteria. For example, you can filter rows where a certain column has values greater than a certain threshold or where multiple conditions are met simultaneously. By applying the .
-
5 min readTo truncate the format yyyy/mm/dd hh:mm:ss.sss to mm/dd/yyyy in Oracle, you can use the TO_CHAR function to convert the date to the desired format. Here is an example query to achieve this:SELECT TO_CHAR(TO_DATE('2022/01/15 15:30:45.123', 'YYYY/MM/DD HH24:MI:SS.FF'), 'MM/DD/YYYY') AS truncated_date FROM dual;This query will take a date in the format yyyy/mm/dd hh:mm:ss.sss, convert it to the mm/dd/yyyy format, and return the truncated date.