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2 min readIn order to extract data from a dictionary within a pandas dataframe, you can access the dictionary values using the apply() function along with a lambda function. First, you need to create a new column in the dataframe to store the dictionary values. Then, you can use the apply() function to extract the values from the dictionary by providing the key as an argument to the lambda function.
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5 min readTo group by batch of rows in pandas, you can use the groupby function along with the pd.Grouper class. First, you need to create a new column that will represent the batch number for each row. Then, you can group the rows based on this new column.Here is an example code snippet to group by batch of rows in pandas: import pandas as pd # Create a DataFrame data = {'A': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]} df = pd.
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5 min readTo parse an XML response in string format to a Pandas DataFrame, you can use the xml.etree.ElementTree module in Python. First, you need to parse the XML string using ElementTree.fromstring() method to convert it into an ElementTree object. Then, you can iterate through the XML elements and extract the data you need. Finally, you can create a Pandas DataFrame from the extracted data using the pd.DataFrame() constructor.
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2 min readTo convert a JSON object or file to a DataFrame in Pandas, you can use the pd.read_json() method. This function will read the JSON data and convert it into a DataFrame format. You can pass the JSON object directly as a parameter or provide the path to the JSON file. The JSON object should be in a valid JSON format for it to be successfully converted to a DataFrame. After converting the JSON to a DataFrame, you can manipulate and analyze the data using Pandas' functionalities.
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3 min readTo format a datetime column in pandas, you can use the strftime method from the datetime module to specify the format you want. For example, you can convert a datetime column to a string with a specific format like this: df['datetime_column'] = pd.to_datetime(df['datetime_column']).dt.strftime('%Y-%m-%d %H:%M:%S') In this example, '%Y-%m-%d %H:%M:%S' is the format string that specifies the year, month, day, hour, minute, and second in the desired order.
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3 min readTo create a pandas dataframe from a list of dictionaries, you can simply use the pd.DataFrame() function and pass the list of dictionaries as an argument. Each dictionary in the list will become a row in the dataframe, with the keys of the dictionaries becoming the column names. This can be a quick and efficient way to convert structured data into a dataframe for further analysis and manipulation in Python using the pandas library.
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5 min readTo convert xls files for pandas, you can use the pd.read_excel() function from the pandas library. This function allows you to read data from an Excel file and store it in a pandas DataFrame. When using this function, you can specify the file path of the xls file you want to convert, as well as additional parameters such as the sheet name, header row, and data range.
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4 min readTo select all checkboxes at once in Kotlin, you can loop through all the checkboxes in your layout and set their isChecked property to true. This can be done using a for loop or by using the forEach{} function on the parent layout to iterate through all the child views. Alternatively, you can maintain a list of all the checkboxes in your layout and set their isChecked property to true using forEach{} on the list. This way, all checkboxes will be selected at once in Kotlin.
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3 min readIn Kotlin, you can automate clicking a button by using the Espresso testing framework.First, you need to add the necessary dependencies in your build.gradle file. Then, you can use Espresso's onView() method to find the button by its id and perform a click action on it.You can also set a delay before clicking the button using IdlingResource or Thread.sleep() methods. This way, you can simulate an automated clicking action in your Kotlin app.
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3 min readTo cancel a scheduled local notification in Kotlin, you first need to have a reference to the NotificationManager system service. You can retrieve this by calling getSystemService(Context.NOTIFICATION_SERVICE) on your Context object.Once you have a reference to the NotificationManager, you can cancel a specific notification by calling cancel() on the NotificationManager object and passing in the ID of the notification you wish to cancel.
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6 min readTo return a boolean when using coroutines in Kotlin, you can use a standard approach with the suspend keyword in your function signature. You can define a suspend function that performs a certain task and returns a boolean value based on the result of that task. Within the function, you can use coroutine builders such as async or launch to achieve asynchronous operation.