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How to Check Column Nulls and Replace: Pandas

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Here is a post that shows how to count Nulls and replace them with the value you want in the Pandas Dataframe. We have explained the process in two steps - Counting and Replacing the Null values. Count null values (column-wise) in Pandas ## count null values column-wise null_counts = df.isnull(). sum() print(null_counts) ``` Output: ``` Column1    1 Column2    1 Column3    5 dtype: int64 ``` In the above code, we first create a sample Pandas DataFrame `df` with some null values. Then, we use the `isnull()` function to create a DataFrame of the same shape as `df`, where each element is a boolean value indicating whether that element is null or not. Finally, we use the `sum()` function to count the number of null values in each column of the resulting DataFrame. The output shows the count of null values column-wise. to count null values column-wise: ``` df.isnull().sum() ``` ##Code snippet to count null values row-wise: ``` df.isnull().sum(axis=1) ``` In the above code, `df` is the Panda

PhoneGap platform top details you need to develop mobile apps: part-1

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There are many smartphone platforms on the market: Android, iPhone, BlackBerry, Nokia, the Windows 7 Phone, and WebOS. Newer platforms are on the rise as well, such as Samsung's Bada and Meego. Why PhoneGap You Need The development of mobile applications increasing day by day, so you need one solution. That is single platform. History of Operating system In the year 2000, we saw a similar situation in the desktop world. We had Microsoft Windows, Apple's Mac, and various versions of Linux and UNIX.  At that time, it was difficult to build products that would run on all these platforms. The resulting fragmentation was often solved via in-house solutions by building frameworks in C++, with Operating System (OS)-specific modules abstracted. Fortunately, Sun's Java came to the rescue and provided us with a common platform on which to build. With Java's build-once-and-run-anywhere strategy, building desktop products had become a breeze. Between 2004 and 2008,