Pyspark null value python. PySpark: Replace null values that bounded by same values.

Pyspark null value python first() in a hope that it'll drop all rows with any null value, and of the remaining DataFrame, I'll just get the first row with all non-null values. 4, Python3 here. Let df1 and df2 two dataframes. count == 'null'). drop(). How do i create a new column which only has this 1 non null value? I have shared a sample below where "new_column" is the column I would like to create. fill('') will replace all null with '' on all columns. 0000000 Word2 73452 3456. 3. 0000000 I want to change this and my attempt was: Jul 31, 2023 · Count Rows With Null Values in a Column in PySpark DataFrame. countDistinct deals with the null value is not intuitive for me. withColumn('Coupon_code',wh May 12, 2022 · The issue that I'm running into is that a billable_item_sid can be null, but when I attempt to call withColumn with a None, the entire frame drops the column when I attempt to aggregate the data later. NullValuePercentageRange ColumnList 10-80% Col1,Col3 80-99% Col4 100% Col5 python; apache-spark-sql; Share. withColumn( "id", F Oct 24, 2021 · Apparently in Spark 2. While converting string to date using **pySpark **data frame, these null values are causing issue. Currently I am using python pyspark to count Null value and calculate missing rate. It can be used to represent that nothing useful exists. fillna('alias', '[]'). I need to get the count of non-null values per row for this in python. Any pointers would be greatly appreciated. but none of them are syntactically correct. Aug 11, 2020 · Use collect_list or collect_set functions to get descriptor values. We can do that using reduce() from functools module. When joining DataFrames, you may encounter null values in the join keys or other columns. lit(None). with python: df = df. For example if I wanted to check null values and replace the Names that are null to "Missing name" or something, the second method won't do anything sometimes. show() 1. show() It results in error: condition should be string or Column I know the following works: df. Is there a way to parse None values to null with Feb 25, 2019 · I have a huge spark dataframe living in a cluster. count == None). isNotNull() : This function is used to filter the rows Oct 28, 2023 · The null values of the column "users" should be replaced with the mean of the column values. fill(''). Notes. When doing it on a pandas dataframe the "dropna=false" parameter gives me the result I want. sql import SQLContext sqlContext = There are null values in my DataFrame in Continent_Name column and I wish to replace it with the mode of the same column Dec 8, 2020 · I have written a PySpark code to put in the condition that if null values are present in a given Column then it append 'Yes' to another column otherwise 'No' data = data. None option is only available since 2. May 16, 2024 · value – Value should be the data type of int, long, float, string, or dict. first(F. lang. types import * df3 = df2. PySpark Replace NULL/None Values with Zero (0) Jun 7, 2022 · You can create a function of your own. Drop all columns with >75% null values. Method1: df_filtered = df. g. sql Aug 12, 2022 · When reading . csv): col1,col2,col3 11,12,13 21,22,23 31,32,33 41,42,43 51,,53 There is a null value at row 5, column 2 and I don't want to get that row inside my DF. number_of_values_not_null = 16 I suppose no, because it should be conceptually uncorrect, because the statistic should count only the values if they are not null (doing so would assume May 10, 2017 · null values represents "no value" or "nothing", it's not even an empty string or zero. Jun 2, 2023 · To do this, I need to coalesce the null values in c1 and c2. randint(low=198, high=205, size=len(df. The NULL values appear in features I have created, such as Success Percentage. For null value in col1 in row 6, it will be the average of col1 values in row 4 and 5, because only those rows have the same col2 and col3 values and not the same col4 values as row 6. dtypes. My data looks like this (appologies, I dont have a way to past it as text): For group A I want to replace the null values with -999; while for group B, I want to replace the null value with 0. here is the code you need : from pyspark. The raw data in csv format is: key1,key2,client_id,event_timestamp 1D7B Mar 24, 2017 · I want to replace null values in one column with the values in an adjacent column ,for example if i have A|B 0,1 2,null 3,null 4,2 I want it to be: A|B 0,1 2,2 3,3 4,2 Tried with df. Replacing null values in a column in Pyspark Dataframe. show() I can find a way around this by post casting the data type of col_3 Jul 15, 2019 · I'm learning PySpark and trying to get the difference between two dates. My current code is: Oct 9, 2019 · I'm sorry I'm not sure I got what you wanted to do but to resolve the issue with getting null values when you concat strings with null values, you only need to assign a data type to your all-null column: input_frame = input_frame. Apr 15, 2022 · The reason is the data I am getting is in a temp view from SQL, I am converting that into a pyspark df so I can loop through all the columns. the Aug 10, 2020 · Spark assign value if null to column (python) 5 How to detect null column in pyspark. collect()[0][0] df_cleaned = df. Tried unsucessfully by tuning several option parameters (he Sep 14, 2018 · I am processing several data tables which have more than 20 Million rows with 30+ columns. I'm thinking of dropping the columns t Sep 21, 2020 · python; apache-spark; pyspark; outliers; Pyspark Removing null values from a column in dataframe. Jun 7, 2022 · Ask questions, find answers and collaborate at work with Stack Overflow for Teams. It is stored in a CSV, and keep getting java. Oct 11, 2018 · The lag function requires, a kind of list of values to chose the previous value. 0 4758. max("id"). In pandas, I can achieve this using isnull() on the dataframe: df = df[df. isnull(). dense_rank(). show() df. And ranking only to be done on non-null values. Feb 20, 2019 · I would like to use a classifier in PySpark on a dataset that includes NULL values. 0 4734. But it takes 40 minutes for one column check. In an inner join, records with null values in the joining columns will not be included in the result. In PySpark, using filter() or where() functions of DataFrame we can filter rows with NULL values by checking isNULL() of PySpark Column class. Appreciate it. If you want to include rows with null values in the join keys, you can use an outer join. withColumn("rank", F. random(size=len(df Mar 5, 2021 · Pyspark: Create Dataframe - Boolean fields in Map type are parsed as null Hot Network Questions Both of NASA's ARED devices have a sign with the acronym "PLEASE;" what does it stand for? Oct 31, 2016 · It's the result I except, the 2 last rows are identical but the first one is distinct (because of the null value) from the 2 others. Below is an example Jun 12, 2022 · Question: Following code fails to replace null date values to 12/31/1900 in a date column. functions. I therefore don’t want to impute NULLs with zeros or the median. some of the files holds columns A,B and some A,B,C or A,C. 75 * len(df))) how do i achieve this w Aug 1, 2017 · To insert null values to the database you have two options:. May 10, 2017 · I tried doing df. otherwise() SQL functions to find out if a column has an empty value and use withColumn() transformation to replace a value of an existing column. fillna Apr 28, 2023 · The code below will rank the null values as well, as 1. By default, PySpark performs an inner join, which excludes rows with null values in the join keys. collect()[0][0] final_data. How can I replace the null values with [] so that the concatenation of c1 and c2 will yield res as shown above? This is how I'm currently concatenating both columns: Dec 28, 2017 · The question is how to detect null values? I tried the following: df. Left/Right/Full Outer I have the following DataFrame in PySpark: Id DateActual DateStart DateEnd SourceCode 107 2019-08-11 00:00:00 null null Jun 29, 2022 · As far as I understand the problem statement, you want to create dynamic join condition based on a list of columns that one provides. fillna({'col1':'replacement_value',,'col(n)':'replacement_value(n)'}) Example: Feb 8, 2022 · I have below data: df= user_id user_name 101 abc 102 def null ghi 104 ghi null abc 104 ghi 102 def 101 abc expected output= user_id user_name 101 abc 102 def 104 ghi 104 ghi 101 abc In pyspark, I have a dataframe that has dates that get imported as strings. count() The empty string in row 2 and the missing value in row 3 are both read into the PySpark DataFrame as null values. filter(condition) : This function returns the new dataframe with the values which satisfies the given condition. from pyspark. But many of the DataFrames have so many columns with lot of null values, that df. xlsx format, those columns with first value (if header = false) or title (if header = true) empty are omitted and not read. NaN stands for "Not a Number", it's usually the result of a mathematical operation that doesn't make sense, e. subset – This is optional, when used it should be the subset of the column names where you wanted to replace NULL/None values. sql. Example: Jun 23, 2022 · I am trying to cast string value for column LOW to double but getting null values in dataframe. Oct 5, 2022 · my question is: does the average\standard deviation or any statistic count in the denominator also the null values? changing. We then use the COALESCE() function to replace the null values with a default value (0), and compute the average using the AVG() function. x; pyspark; apache-spark-sql; Share. If there is any other better way to process it to make it faster, please let me know. you can use the below code which uses coalesce to obtain the latest value. DataFrame(index = pd. collect_list,collect_set doesn't preserve null values for this case use when otherwise to replace with string null. Filter Rows with NULL Values in DataFrame. createDataFrame ([ Feb 20, 2017 · I'm trying to read in flight data from the Department of Transportation. To count rows with null values in a column in a pyspark dataframe, we can use the following approaches. drop() Mar 20, 2018 · These are not two types of nulls but results of different level aggregations. Aug 10, 2020 · So the null value in col1 for row 3 should be replaced by the average of col1 values in row 1 and 2. 3. if the non-null rows are not equal to the number of rows in the dataframe it means at least one row is null, in this case add +1 for the null value(s) in the column. PySpark fill null values when respective column flag is zero. However, I don't even know what data type c1 and c2 are. Nov 3, 2017 · As Psidom implies in the comment, in Python, the NULL object is the singleton None ; pyspark UDF with null values check and if statement. PySpark: Replace null values that bounded by same values. columns or df. fill(df May 20, 2016 · How can I get the first non-null values from a group by? I tried using first with coalesce F. 0 NULL Word2 73452 NULL 4758. Apr 21, 2023 · I have the following pyspark dataframe : df col1 col2 col3 1 2 3 4 None 6 7 8 None I want to replace None (or Null) values by the mean of the row they are into. While writing the dataframe as json file, if the struct column is null I want it to be written as {} and if the struct field is null I want it as "&q Dec 28, 2017 · The question is how to detect null values? I tried the following: df. There are also 900+ columns. sorry i forgot to mention it. The isNotNull() method is the negation of the isNull() method. countDistinct("a","b","c")). agg(F. Methods like F. In this article, I will explain how to replace an empty value with None/null on a single column, all columns selected a list of columns of DataFrame with Python examples. Ask Question Asked 6 years, 11 months ago. sql import functions as F, Window max_id = final_data. Oct 7, 2016 · I'm new to PySpark and am facing a strange problem. Feb 10, 2022 · Spark assign value if null to column (python) 6. I have tried setting the nanValue to the empty string, as it's default value is NaN, but this hasn't worked. I can filter out null-values before the ranking, but then I need to join the null values back later due to my use-case. Here is a basic example of handling null in Python : Python The Problem: When I try and convert any column of type StringType using PySpark to DecimalType (and FloatType), what's returned is a null value. 6), you can try converting DataFrame to rdd with Python dict format. 2. I'm trying to convert these columns into date type columns, bu Jun 28, 2022 · you can't pass current_timestamp() bacuase its variable , fillna accepts either int, float, double or string values. na. Step 1: Create an array of size number of columns. size(c) > 0) for c in check_columns])) Dec 22, 2022 · I have a PySpark DataFrame and I want to map values of a column. I have tried this using fillna but it doesn't have any effect: default_type = 'type one' df = df. groupBy(). Pyspark - Calculate Apr 12, 2022 · Points is: Not every possible value of the second column is contemplated on my dictionary. Dec 25, 2021 · I'm trying to handle null values using window function in pyspark==3. However col_01 and col_02 return appropriate data if they are called with. I need to keep the NULL value, because I have shown via pandas that keeping the NULL values results in a stronger model. So I cannot query using column names. PySpark Replace NULL/None Values with Zero (0) Jan 25, 2023 · For filtering the NULL/None values we have the function in PySpark API know as a filter() and with this function, we are using isNotNull() function. Each row in this pySpark dataframe has 1 "non null value". filter(F. dup_col. alias('to')) Aug 23, 2015 · I'm loading many versions of JSON files to spark DataFrame. you can use python library to pass current timestamp Below is the working code Aug 9, 2019 · I have a pyspark dataframe, df. count is 'null'). e without typing columns name manually), you can use either df. 7. To do this, we use the mean() function of PySpark for calculating the mean of the column and the fillna() method of PySpark for replacing the null values with the mean: mean_value = df. Which I attempt to do with the following code: w = Window. 0) to_timestamp returns null when I convert event_timestamp column from string to timestamp 0 Pyspark: to_date and unix_timestamp return null for some records for others valid values python; apache-spark-sql; Share. After a join procedure on col1, I get a dataframe df, which contains two columns with same column name (maybe with different values) inherited from df1 and df2, let say df1. It is an instance of its unique type NoneType and serves as a placeholder to signify that a variable or object does not hold any meaningful data. fill(0) replace null with 0; Another way would be creating a dict for the columns and replacement value df. The spark version is 2. replace does not support None. See full list on sparkbyexamples. 1. show() But is there a way to achieve with without the full Mar 3, 2022 · Fill null values in pyspark dataframe based on data type of column 0 How to check if a column is null based on value of another column? May 10, 2019 · Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand Aug 29, 2019 · From this data I want to find the latest non-null value for each row. Is there a way to create a new column with a Null value using withColumn and a UDF? Things I've tried (for testing purposes): Oct 14, 2020 · I am converting a struct column in dataframe to json column using to_json in pyspark, but null values in few of the struct fields are ignored in json, I dont want the null values to be ignored. Jul 25, 2019 · How can I substitute null values in the column col1 by average values? There is, however, the following condition: id col1 1 12 1 NaN 1 14 1 10 2 22 2 20 2 NaN 3 NaN 3 May 16, 2024 · value – Value should be the data type of int, long, float, string, or dict. I've used Pandas for the sample dataset, but the actual dataframe will be pulled in Spark, so the approach I'm looking for should be done in Spark as well. import pyspark May 18, 2017 · I have a dataframe df created as follow, schema = StructType([StructField('Id', StringType(), False), StructField('Value', FloatType(), False)]) df = spark Apr 4, 2022 · You can use greatest with the loop and then use it in filter:. Why not make all keywords soft in python? Nov 23, 2020 · You can do this in three steps. – Nov 4, 2022 · df = col_0 col_1 col_2 col_3 Word 73452 3859. how to fill in null values in Pyspark. How to replace NaN with 0 in PySpark data frame column? 1. and i also try with isNull() option(2nd part of your answer) but result is same. substring still work on the column, so it's obviously still being treated like a string, even though I'm doing all I can to point it in the right direction. omit that field from your INSERT statement, or; use None; Also: To guard against SQL-injection you should not use normal string interpolation for your queries. dup_col and df2. fillna('alias', create_list([]) and answers from Convert null values to empty array in Spark DataFrame. Most of these columns are empty. Jan 6, 2020 · I have been able to successfully do exactly what I want for imputing null values using the mean. id alias 1 ["jon", "doe"] 2 null I am trying to replace the nulls and use an empty list. dropna(how='any',axis=0) It will erase every row (axis=0) that has "any" Null value in it. sql import Row >>> df1 = spark. column_name. functions import isnull Sep 6, 2016 · Assuming that I have the following data +--------------------+-----+--------------------+ | values|count| values2| +--------------------+-----+--------------------+ | Dec 26, 2024 · None it is the equivalent of null in other programming languages, representing the absence of a value or a null value. basically, count the distinct values and then count the non-null rows. date_range('2017-01-01', '2017-01-10', freq='1d')) # Average speed in miles per hour df['A'] = np. Value specified here will be replaced with NULL/None values. Count of rows containing null values in pyspark. id alias 1 ["jon", "doe"] 2 [] I tried using . over(w)) However, this apparently ranks all null values as 1, regardless of how many null values there are in a column: In this example, we first create a sample DataFrame with null values in the value column. Apr 8, 2022 · PySpark(version 3. May 15, 2020 · Now I would like to rank each value from 1 to N per date. withColumn('test', sf. There are null values in these dates-as-strings columns. PySpark, the Python API for Apache Spark, provides powerful methods to handle null values efficiently. See the NaN Semantics for details. If an entry is null, then set the respective element in array as the name of column name, else leave the value null. number_of_values_not_null = 4 to. Sep 19, 2024 · Strategies to Handle Null Values in Joins 1. Feb 15, 2021 · NULL is not a value but represents the absence of a value so you can't compare it to None or NULL. 5. Try Teams for free Explore Teams Jan 12, 2018 · Python / Pyspark - Count NULL, empty and NaN. – Venkataraman R Commented Jan 16, 2019 at 4:22 Using Null Values in Joins . Now I want to do the identical thing for the median, here is the same code I used successfully for the May 19, 2021 · Now I'm trying to replace the null title types with a default value. Jul 17, 2018 · If I want to replace null values I can use, python; apache-spark; pyspark; apache-spark-sql; PySpark fill null values when respective column flag is zero. orderBy("value") df = df. Dec 17, 2022 · That works fine as long as values are all there, but if I have a Json (as Python dict) like: json_feed = { 'name': 'John', 'surname': 'Smith', 'age': None } I would like to get the generated DataFrame with a value null on the age column, but what I am getting at the moment is _corrupt_record. My aim is to produce a dataframe thats lists each column name, along with the number of null values in that column. Does it looks a bug or normal . Jan 1, 2001 · As you are using left join, you will be getting null from the right table, if there is no matching value in the right table. In this article, we will go through how to use the isNotNull method in PySpark to filter out null values from the data. It seems that the way F. It is used to check for not null values in pyspark. 4 PySpark SQL Function isnull() pyspark. As for why datatypes are important, the original list contains a number of different datatypes, and different datatypes require different null values. partitionBy("date"). One possible way to handle null values is to remove them with: df. I dont want that, I would like them to have rank null. cast(StringType())) – May 20, 2020 · The toPandas method in pyspark is not consistent for null values in numerical columns. Jul 30, 2023 · The isNotNull() Method in PySpark. Examples >>> from pyspark. You need to use isNull to check : Jan 9, 2020 · I am experiencing issue to replace null values by 0 in some PySpark dataframe. Example DF - May 31, 2017 · ignoreNullFields is an option to set when you want DataFrame converted to json file since Spark 3. If we invoke the isNotNull() method on a dataframe column, it also returns a mask having True and False values. Using filter() method and the isNull() method with count() method; By using the where() method and the isNull() method with count() method; By Using sql IS NULL statement with May 12, 2024 · 1. Type':default_type}) Jan 28, 2018 · I am trying to create a pivot table on a PySpark SQL dataframe, which doesn't drop the null values. If I run this command from pyspark. Mar 27, 2024 · Note: In Python None is equal to null value, so on PySpark DataFrame None values are shown as null. 0/0. 0000000 Word1 23452 3859. any(axis=1)] But in case of PySpark, when Feb 9, 2018 · The output shows the entire row with 'col_03' = null to be null. May 12, 2017 · That's not a "null" variable - the variable doesn't exist there's a distinct difference between something not existing and existing with a "null" value (in Python that's normally the None singleton) Nov 16, 2022 · I have a pySpark dataframe, where I have null values that I want to replace - however the value to replace with is different for different groups. dropna(axis='columns', thresh = int(0. For int columns df. 4. where("count is null"). I'm trying to set some column to non-nullable while loading a CSV dataset. dt_mvmt == None]. select(['col_01','col_02']). You can use the . The window can be used to create this list and in this case it just takes the data performs the ordering and produces this set. This means that if either side of the join has null values in the key columns, those records will be automatically excluded from the join result. 1, df. where(df. Inner Join and Null Values. fillna({'Title. Second Method import pyspark. First let’s create a DataFrame with some Null, None, NaN & Empty/Blank values. Sep 12, 2018 · I have a dataframe with many columns. In order to use this function first you need to import it by using from pyspark. coalesce("code")) but I don't get the desired behaviour (I seem to get the first row). The comparison will always give false. Unlike Pandas, PySpark doesn’t consider NaN values to be NULL. Sample dataset: data = [(1, 'N'), \ (2, 'N'), \ (3, 'C'), \ (4, 'S'), \ (5, 'North'), \ (6, ' Jul 17, 2020 · I am trying to profile the data for null, blanks nan in data and list the columns in range based classification. 0000000 Word1 73454 NULL 4756. Is there a way to force it to be more consistent? An example sc is the sparkContext. Parameters other. Feb 10, 2022 · 本記事は、Pyspark操作時のnullの扱いや、nullに関わる関数の実行結果について、簡単にまとめたものとなっております。 0 データ準備 各操作では、以下のデータフレームを使用して行うものとする。 Oct 17, 2019 · Thanks for your response, 1st of all i need that row with null value, so i cant drop, and my question was how can i handle null value not to drop or delete. select('date_str', from_unixtime(unix_timestamp('date_to', 'yyyy-MM-dd')). functions as F df. I can reproduce my case with a very small dataset (test. For example, A - Voigt may have 2 as its relational value but A-Leica may have not have this value at all. isnull() is another function that can be used to check if the column value is null. I've tried converting the format to unix_timestamp, newdf = df. Try Teams for free Explore Teams Apr 5, 2019 · I have a very wide df with a large number of columns. 0, which is not applicable in your case. 0. drop() returns empty DataFrame . Mar 27, 2024 · In PySpark DataFrame use when(). Oct 9, 2020 · Pyspark - replace null values in column with distinct column value the function first with the 2nd argument ignorenulls=True should pick the first non-NULL value May 14, 2019 · Have a dataset and want to do some cleaning with pyspark. The resulting DataFrame (avg_value) has null values replaced with the default value, and the average is computed Nov 1, 2022 · I am building a job in AWS Glue and my table has a column named as booking with string data type. If you need Spark 2 (specifically PySpark 2. what usually cause for returning null value while transforming json string to another DF? I am trying to get the rows with null values from a pyspark dataframe. What I may be doing wrong here, and how can we fix the issue? Dataframe df is loaded from a Data file has a Oct 20, 2021 · I have a large PySpark dataframe that includes these two columns: highway speed_kph Road 70 Service 30 Road null Road 70 Service null I'd like to fill the null values by the mean for that hi Jul 10, 2024 · In data processing, handling null values is a crucial task to ensure the accuracy and reliability of the analysis. It includes some null values along with date information. My current code is: May 25, 2023 · I have a PySpark dataframe which has column names which are unique_id's generated by UUID library. Apr 9, 2022 · Then I have another dataframe which provides a number which describes relation between input and target column. Syntax: df. df. However, it is not guaranteed that each input-target has this numerical value. can you tell me please. a value or Column. Fill null values with new elements in pyspark df. NumberFormatException: null. withColumn("LOW",df2["LOW"]. May 8, 2021 · If null values should be ignored, you can use the Spark SQL function count which can ignore null values: Python / Pyspark - Count NULL, empty and NaN. 1. . 0. Jul 19, 2020 · They don't appear to work the same. random. index)) df['B'] = np. isNotNull() & (F. My input table has the following structure: I am running everything in the IBM Data Science Experience cloud under Python 2 with spark 2. The first one seems to work better when checking for null values in a column. As explained in What is the difference between cube, rollup and groupBy operators? your cube application is equivalent to: Sep 24, 2020 · python-3. Mar 14, 2019 · Pyspark - replace null values in column with distinct column value 1 Randomly select x(x is fixed) values in a column and replace it with 0 in pyspark dataframe Here is one possible approach for dropping all columns that have NULL values: See here for the source on the code of counting NULL values per column. cast(Doubl Jul 29, 2020 · If you have all string columns then df. isNull Create a DataFrame with num1 and num2 columns. EXAMPLE: #Recreate random DataFrame with Nan values df = pd. 2. The count shows there to be 24 million rows. To replace values dynamically (i. greatest(*[F. select(mean(df['users'])). for example as said above if it is a null value in an integer column, the null value needs to be zero May 13, 2024 · 1. Aug 16, 2019 · The null entries generated by the resample should be populated by forward-fill. So, if I run the code above, I'll get several null values on the second row, and I wish I could keep these values that does not appear on mapIds dictionary. show() But is there a way to achieve with without the full Mar 3, 2022 · Fill null values in pyspark dataframe based on data type of column 0 How to check if a column is null based on value of another column? May 10, 2019 · Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand Jun 14, 2017 · This should do the work: df = df. How can I replace the null values with [] so that the concatenation of c1 and c2 will yield res as shown above? This is how I'm currently concatenating both columns: Oct 24, 2021 · Using Pyspark and Spark 2. And the list goes on Aug 16, 2019 · The null entries generated by the resample should be populated by forward-fill. col(c). I've tried multiple formats to get the difference but my code always returns null. Sometimes the second method doesn't work for checking null Names. replace function to change to null values in one line of code. com May 17, 2016 · None/Null is a data type of the class NoneType in PySpark/Python so, below will not work as you are trying to compare NoneType object with the string object Wrong way of filreting df[df. qrmtvu epkwag zwx dxxzjz tyxbw hajdr mkwp cxzjxt dvogs dlzwhh