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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

SQL Tester Ideas DATE, Numeric, CHAR, NULL

I have shared top SQL Date functions along with Numeric, CHAR and NULL functions.


sql examples on built-in functions


List of Built-in Functions

  1. DATE-TIME functions
  2. Numeric functions
  3. Char functions
  4. Null-related functions

1. DATE/TIME functions

SELECT p_code,
launch_dt,
CURRENT_DATE
FROM product;

CURRENT_DATE returns the CURRENT date.

SELECT p_code,
To_char(launch_dt, 'DD MONTH YYYY') reformatted_dt
FROM product;
TO_CHAR FUNCTION returns date IN char format.

2. Numeric functions

SELECT p_code,
price,
(price - 20),
Abs(price - 20.00)
FROM product;


ABS - FUNCTION returns the absolute value


SELECT p_code,
price,
Round (price, 1)
FROM product;


ROUND FUNCTION - round TO 1 digit.


SELECT p_code,
price,
Sign(price - 15)
FROM product;


SIGN FUNCTION - it returns the sign

SELECT p_code,
price,
Trunc(price, 1)
FROM product;


TRUNC FUNCTION - truncates TO a certain number OF decimal places.


3. CHAR functions

SELECT p_code,
Concat(Concat(p_name, ' -- ') , price)
FROM product;CONCAT FUNCTION - concats two strings.




SELECT p_name,
Lower(p_name),
Upper(p_name)
FROM product;


UPPER FUNCTION : returns upper CASE.
Lower FUNCTION returns lower CASE.




SELECT p_name,
Length(p_name)
FROM product;LENGTH FUNCTION
returns length OF the string.


SELECT Substr(phone, 3)

FROM customer;


SUBSTR FUNCTION : returns a substring FROM the main string.


4. Null related functions

SELECT p_name,
price,
min_price,
COALESCE((price * 0.9), min_price, 5.0) sale_price
FROM product;


COALESCE FUNCTION: returns the first non-NULL value FROM the expression.



Summary
  • Given a list of top built-in functions
  • Example SQL queries on built-in function given for you to read quickly
  • These examples are almost common in any RDBMS

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