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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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Oracle fFlash Storage and its Top Features

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ORACLE flash storage is faster than other storage systems. This post tells why flash storage you need and the special features of flash storage from oracle.

Customers today are facing a triad of issues requiring higher performance from their storage systems such as More server and application virtualization, Faster servers and scale-out applications and Latency-sensitive applications.

Flash storage is seen as the solution to these issues because it delivers the desired higher performance. 

But does all of your data need flash media? 

What if there were “a smart and self-optimizing” storage system that automatically moves data across different media depending not only on frequency of usage, but also on the application’s performance requirements, media cost, and business value? Introducing Oracle FS1 Flash Storage System.

How is Oracle FS1 Flash Storage System Different?

Oracle FS1 intelligently delivers flash performance when you need it and reduces costs by moving data automatically to lower-cost media when you don’t—all driven by business priorities.

Given that only around 10 percent of data is hot, current all-flash storage offerings are expensive and excessive for most data. Integrating flash storage from small startups into enterprise IT environments is risky and requires additional operational cycles, and retrofitting flash into existing legacy storage is inherently inefficient.
 
Oracle offers an intelligent alternative to flash waste and flash-retrofitted legacy storage with an innovative flash storage system that transcends the limitations of existing all-flash storage arrays.
  • Oracle FS1 Flash Storage System is an enterprise-grade SAN storage system built on an established foundation of five generations of hardware and software flash innovation. 
  • Oracle FS1 is specifically architected to maximize the power of flash and the economics of disk without impacting the predictable performance expected from an all-flash array. 
  • It leverages the most intelligent management framework in the industry to efficiently move data in fine-grained blocks across four tiers of storage media with different performance and cost metrics. 
And, Oracle FS1 is co-engineered with Oracle servers, operating systems, applications, and databases to provide Oracle-unique functionality that delivers significant business value to customers.

References

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