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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
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4 Top Upcoming IoT Applications

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New types of applications now part of Vehicle and the smart-house, in which appliances and services that provide notifications, security, energy-saving, automation, telecommunication, computers, and entertainment into a single ecosystem with a shared user interface.

4 Top Upcoming IoT Applications

Four Top IoT Applications

Developing technology in Europe right now—demonstrating, testing, and deploying products—it will be much nearer to implementing smart environments by 2022.
  • In the future, computation, storage, and communication services will lead. Those are:
  • Smart objects
  • The machines, platforms, and the surrounding space (e.g., with wireless/wired sensors, M2M devices, RFID tags, etc.) will create a highly decentralized pool of resources (up to the very edge of the “network”) interconnected by a dynamic network of networks.
  • The “communication language” will be based on interoperable protocols, operating in heterogeneous environments and platforms.
Sources
  1. European market potential for integrated internet of things and big data services

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