pandas drop rows with condition

How to Drop Rows that Contain a Specific Value in Pandas? Some of our partners may process your data as a part of their legitimate business interest without asking for consent. Connect and share knowledge within a single location that is structured and easy to search. how: {any, all}, default any The output of the previous syntax is revealed in Table 2: We have constructed a pandas DataFrame subset with only three rows out of the six input rows. Drop Rows with Conditions in Pandas The Josh name from the Dataframe is dropped based on the condition that if df ['Names'] == 'Josh'], then drop that row. Note that this method assumes that your index is unique. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, I realized that, I changed the duplicate. Strange behavior of tikz-cd with remember picture. Any row less than 80 is dropped. Note that these methods actually filter the data, by negating this you will get the desired output.if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[300,250],'sparkbyexamples_com-banner-1','ezslot_10',148,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-banner-1-0'); Sometimes it may require you to drop the rows based on multiple conditions. Method 2: Drop Rows that Meet Several Conditions. Retain all those rows for which the applied condition on the given column evaluates to True. pandas filter rows by condition. Get started with our course today. The following tutorials explain how to perform other common operations in pandas: How to Drop Rows that Contain a Specific Value in Pandas By specifying the column axis ( axis='columns' ), the drop () method removes the specified column. Rows with the list of Grades have been dropped. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. They are defined by the code below: If need remove first maximum values per groups use: If need remove all maximus per groups here is ouput same: Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. You need, delete some rows from a dataframe according to conditions [duplicate], Multi index dataframe delete row with maximum value per group, The open-source game engine youve been waiting for: Godot (Ep. Answer (1 of 2): Use pandas.DataFrame.drop() method to drop/remove rows with multiple condition. acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Data Structure & Algorithm-Self Paced(C++/JAVA), Android App Development with Kotlin(Live), Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Drop rows from the dataframe based on certain condition applied on a column. #drop rows that contain the partial string "Wes" in the conference column, Pandas: How to Find Unique Values in a Column, Pandas: How to Sum Columns Based on a Condition. You can use the following syntax to drop rows that contain a certain string in a pandas DataFrame: This tutorial explains several examples of how to use this syntax in practice with the following DataFrame: The following code shows how to drop all rows in the DataFrame that contain A in the team column: The following code shows how to drop all rows in the DataFrame that contain A or B in the team column: In the previous examples, we dropped rows based on rows that exactly matched one or more strings. So the resultant dataframe will be, Now lets drop the bottom 3 rows of a dataframe as shown below, The above code selects all the rows except bottom 3 rows, there by dropping bottom 3 rows, so the resultant dataframe will be, now lets simply drop the duplicate rows in pandas as shown below, In the above example first occurrence of the duplicate row is kept and subsequent duplicate occurrence will be deleted, so the output will be, For further detail on drop duplicates one can refer our page on Drop duplicate rows in pandas python drop_duplicates(). Change logic for get all rows if less or equal like 1500 after subtracting in boolean indexing with Series.le: working like invert mask for greater like 1500: Thanks for contributing an answer to Stack Overflow! Drop Rows with NAN / NA Drop Missing value in Pandas Python, Drop duplicate rows in pandas python drop_duplicates(), Drop column in pandas python - Drop single & multiple, column bind in python pandas - concatenate columns in python, Find the duplicate rows of the dataframe in python pandas, Tutorial on Excel Trigonometric Functions, select row with maximum and minimum value in pandas. Syntax: dataframe[dataframe.column_name operator value], By using this method we can drop multiple values present in the list, we are using isin() operator. This is helpful when you are working on the data with NaN column values. pandas, Drop all rows where score of the student is less than 80 df = df[df['Score'] > 80] Here, we filtered the rows by integer value of 80 and above, other rows have been dropped. Another way to drop row by index. Refresh the page, check Medium 's site status, or find something interesting to read. How to iterate over rows in a DataFrame in Pandas. Use axis param to specify what axis you would like to delete. Find centralized, trusted content and collaborate around the technologies you use most. 'Name' : ['Ankit', 'Aishwarya', 'Shaurya', Report_Card = pd.read_csv ("Grades.csv") Report_Card.drop ("Retake",axis=1,inplace=True) In the above example, we provided the following arguments to the drop function: In this, we have filtered rows which are 80 and above. The Pandas drop() function in Python is used to drop specified labels from rows and columns. You can filter by values, conditions, slices, queries, and string methods. Method 2: Drop Rows that Meet Several Conditions. Syntax: dataframe [dataframe.column_name operator value] where Access a group of rows and columns by label (s) or a boolean array. How to get the closed form solution from DSolve[]? Drop rows by index / position in pandas. drop() will drops the rows by the index number. "Pandas aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python" Pandas' Mission Statement Salient Features of the Library Fast and. What's the difference between a power rail and a signal line? In this article, I will explain how to count the number of rows with conditions in DataFrame by using these functions with examples. Statology Study is the ultimate online statistics study guide that helps you study and practice all of the core concepts taught in any elementary statistics course and makes your life so much easier as a student. I assumed that though, based on the sample data we have above. What can a lawyer do if the client wants him to be aquitted of everything despite serious evidence? 20 Pandas Functions for 80% of your Data Science Tasks Susan Maina in Towards Data Science Regular Expressions (Regex) with Examples in Python and Pandas Ahmed Besbes in Towards Data Science 12 Python Decorators To Take Your Code To The Next Level Tomer Gabay in Towards Data Science 5 Python Tricks That Distinguish Senior Developers From Juniors Drop NA rows or missing rows in pandas python. You can use pd.drop() in which you can drop specific rows by index. We will explore dropna() in this section. We can use this method to drop such rows that do not satisfy the given conditions. 1 Answer. so the resultant table on which rows with NA values dropped will be, For further detail on drop rows with NA values one can refer our page. We will be following these steps in this article to drop rows in a dataframe based on conditions. 1- represnts 2nd row and so on. How do I select rows from a DataFrame based on column values? The other value is all. We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. Example 3 : Delete rows based on multiple conditions on different columns. See the below code example: We can use the column_name function along with the operator to drop the specific value. By using our site, you drop all columns except pandas. Your email address will not be published. python, Categories: Share Improve this answer The Pandas library provides us with a useful function called drop which we can utilize to get rid of the unwanted columns and/or rows in our data. Like the previous example, we can drop rows based on multiple conditions. By using our site, you How to Drop Rows with NaN Values in Pandas DataFrame? Setup Lab Environment Method-1: Using sub query with max () function Syntax Example-1: Select the rows from single table having the maximum value on a column Example-2: Select the rows from multiple tables having the maximum value on a column Method-2: Using Left Outer Join Syntax syntax: dataframe.dropduplicates () python3 import pyspark from pyspark.sql import sparksession spark = sparksess Dropping the second and third row of a dataframe is achieved as follows, The above code will drop the second and third row. Only consider certain columns for identifying duplicates, by default use all of the columns. Continue with Recommended Cookies. At what point of what we watch as the MCU movies the branching started? Pass in a list of columns into the columns= argument. Python3 df = table index_names = df [ df ['Names'] == 'Josh'].index df.drop (index_names, inplace = True) We and our partners use cookies to Store and/or access information on a device. how: {any, all}, default any Our DataFrame contains column names Courses, Fee, Duration, and Discount.if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[320,50],'sparkbyexamples_com-medrectangle-3','ezslot_1',107,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-medrectangle-3-0');if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[320,50],'sparkbyexamples_com-medrectangle-3','ezslot_2',107,'0','1'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-medrectangle-3-0_1'); .medrectangle-3-multi-107{border:none !important;display:block !important;float:none !important;line-height:0px;margin-bottom:7px !important;margin-left:auto !important;margin-right:auto !important;margin-top:7px !important;max-width:100% !important;min-height:50px;padding:0;text-align:center !important;}, drop() method takes several params that help you to delete rows from DataFrame by checking condition. An example of data being processed may be a unique identifier stored in a cookie. Get started with our course today. Are there conventions to indicate a new item in a list? Dropping a row in pandas is achieved by using .drop() function. Df [df['A'] == 'foo'] # Copy the code. Method 1: Drop the specific value by using Operators We can use the column_name function along with the operator to drop the specific value. It outputs the same as above. "Least Astonishment" and the Mutable Default Argument, How to drop rows of Pandas DataFrame whose value in a certain column is NaN. Let's see the approach of drop rows based on multiple conditions in the next section. Pandas: How to Drop Rows that Contain a Specific String You can use the following syntax to drop rows that contain a certain string in a pandas DataFrame: df [df ["col"].str.contains("this string")==False] This tutorial explains several examples of how to use this syntax in practice with the following DataFrame: Introduction to Statistics is our premier online video course that teaches you all of the topics covered in introductory statistics. DataFrame.drop_duplicates(subset=None, *, keep='first', inplace=False, ignore_index=False) [source] #. Find centralized, trusted content and collaborate around the technologies you use most. pandas concat two columns. Tags: What capacitance values do you recommend for decoupling capacitors in battery-powered circuits? Has China expressed the desire to claim Outer Manchuria recently? pandas, How to find tables that contain a specific column in SQL using Python? Example1: Drop Rows Based on Multiple Conditions [code]df = df[ (df . The simplest way to drop a row is by using boolean indexing and filter out the rows that doesn't met certain conditions. And for each review, I have the different words with a specific score as below: I need to delete the lines that present the max score for each review. Lets create a DataFrame with a few rows and columns and execute some examples to learn how to drop the DataFrame rows. Delete or Drop rows with condition in python pandas using drop() function. In this article, we will see how to drop rows of a Pandas dataframe based on conditions. You can just extend the usage of the above examples to do so.if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[250,250],'sparkbyexamples_com-large-leaderboard-2','ezslot_11',114,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-large-leaderboard-2-0'); You can also delete rows by using query() method. #drop rows where value in 'assists' column is less than or equal to 8, #only keep rows where 'assists' is greater than 8 and rebounds is greater than 5, The only rows that we kept in the DataFrame were the ones where the assists value was greater than 8, #only keep rows where 'assists' is greater than 8 or rebounds is greater than 10, How to Drop First Row in Pandas DataFrame (2 Methods), How to Change Order of Items in Matplotlib Legend. acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Data Structure & Algorithm-Self Paced(C++/JAVA), Android App Development with Kotlin(Live), Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam. Use axis=1 or columns param to delete columns. Why does Jesus turn to the Father to forgive in Luke 23:34? Example 2 : Delete rows based on multiple conditions on a column. Some of our partners may process your data as a part of their legitimate business interest without asking for consent. Manage Settings 1, or 'columns' : Drop columns which contain missing value. Specifically, you'll see how to apply an IF condition for: Set of numbers Set of numbers and lambda Strings Strings and lambda OR condition Applying an IF condition in Pandas DataFrame Retain all those rows for which the applied condition on the given column evaluates to True. Below is a complete example of how to remove/delete/drop rows with conditions in pandas DataFrame. Drop the rows even with single NaN or single missing values. Lets see example of each. Selecting Rows in Pandas DataFrame Based on Conditions | GeeksforGeeks Code #1 : Selecting all the rows from the given dataframe in which 'Percentage' is greater than 80 using basic method. Additionally, we will also discuss on how to drop by index, by condi. Introduction to Statistics is our premier online video course that teaches you all of the topics covered in introductory statistics. B. Chen 3.9K Followers Machine Learning practitioner | Health informatics at University of Oxford | Ph.D. We will be using isin() and lambda to achieve this. pandas split string and get first element pandas split string and get first element If you would like to change your settings or withdraw consent at any time, the link to do so is in our privacy policy accessible from our home page.. Lets use the vectorization operation to filter out all those rows which satisfy the given condition. Additionally, we will also discuss on how to drop by index, by conditions based on a list, and by NaN values. hello I need help to drop some rows by the condition: if the estimated price minus price is more than 1500 (positive) drop the row. This is how our school dataframe looks like: We will see how to drop rows with conditions in this section. If you need to drop() all rows which are not equal to a value given for a column. We have already discussed earlier how to drop rows or columns based on their labels. How to select rows from a dataframe based on column values ? Not the answer you're looking for? In my earlier article, I have covered how to drop rows by index from DataFrame, and in this article, I will cover several examples of dropping rows with conditions, for example, string matching on a column value. Does Python have a ternary conditional operator? This particular example will drop any rows where the value in col1 is equal to A and the value in col2 is greater than 6. for example only the index 1 would be drop This drops the rows from the index to index n- 1. dropna() is the most efficient function when it comes to drop NaN values in a dataframe. Mask = df['A'] == 'foo' pos = np. Drop rows from Pandas dataframe with missing values or NaN in columns. Allowed inputs are: A single label, e.g. How do I get the row count of a Pandas DataFrame? Use a list of values to select rows from a Pandas dataframe, How to drop rows of Pandas DataFrame whose value in a certain column is NaN, How to iterate over rows in a DataFrame in Pandas. In this section we will learn how to drop or delete the row in python pandas by index, delete row by condition in python pandas and drop rows by position. Drop a list of rows from a Pandas DataFrame. thresh keeps only the rows with at least 1 non-NA value(s). Python Programming Foundation -Self Paced Course, Drop rows in PySpark DataFrame with condition, Python PySpark - Drop columns based on column names or String condition. ['a', 'b', 'c']. Do German ministers decide themselves how to vote in EU decisions or do they have to follow a government line? We can use this method to drop such rows that do not satisfy the given conditions. Definition and Usage The drop () method removes the specified row or column. There are two ways to achieve this. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); Statology is a site that makes learning statistics easy by explaining topics in simple and straightforward ways. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. Drop Rows: Multiple Conditions. DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise') It accepts a single or list of label names and deletes the corresponding rows or columns (based on value of axis parameter i.e. example, Is there a proper earth ground point in this switch box? How to react to a students panic attack in an oral exam? Your email address will not be published. Drop all rows where score of the student is less than 80 df = df[df['Score'] > 80] Here, we filtered the rows by integer value of 80 and above, other rows have been dropped. Applications of super-mathematics to non-super mathematics. Required fields are marked *. dropna() has how parameter and the default is set to any. In this article, we will explore how to prevent overlapping x-axis tick labels. for documentation on drop() function kindly refer here. In this post, we are going to discuss several approaches on how to drop rows from the Dataframe based on certain conditions applied to a column. axis: {0 or index, 1 or columns}, default 0 acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Data Structure & Algorithm-Self Paced(C++/JAVA), Android App Development with Kotlin(Live), Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam. all : If all values are NA, drop that row or column. If otherwise, boolean indexing is the better solution. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Note: The | symbol represents OR logic in pandas. Filtering rows in pandas removes extraneous or incorrect data so you are left with the cleanest data set available. pandas drop duplicates multiple columns. Dot product of vector with camera's local positive x-axis? thank you! Alternatively, you can also achieve dropping rows by filtering rows and assigning them to another DataFrame.if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[320,50],'sparkbyexamples_com-box-3','ezslot_4',105,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-box-3-0');if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[320,50],'sparkbyexamples_com-box-3','ezslot_5',105,'0','1'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-box-3-0_1'); .box-3-multi-105{border:none !important;display:block !important;float:none !important;line-height:0px;margin-bottom:7px !important;margin-left:auto !important;margin-right:auto !important;margin-top:7px !important;max-width:100% !important;min-height:50px;padding:0;text-align:center !important;}. Conditions are passed with comparison and bitwise operators. inplace: bool, default False. Making statements based on opinion; back them up with references or personal experience. Are: a single label, e.g design / logo 2023 Stack Exchange Inc ; user licensed! With missing values ): use pandas.DataFrame.drop ( ) function easy to search business interest without asking for.... Single NaN or single missing values or NaN in columns the specified row or column, Sovereign Tower. The columns ) function in Python is used to drop rows based on data! Assumed that though, based on multiple conditions in the next section a line... Conditions in Pandas removes extraneous or incorrect data so you are working on the given column evaluates to True has.: we can use pd.drop ( ) function in Python Pandas using drop )! List, and string methods of how to drop rows that Meet conditions. That is structured and easy to search Floor, Sovereign Corporate Tower, we will also discuss on how count..., e.g following these steps in this article, we will also discuss on how to count the of! At least 1 non-NA value ( s ) cleanest data set available contributions licensed under CC.! Interesting to read data with NaN values to follow a government line have to follow a government line EU. To be aquitted of everything despite serious evidence you recommend for pandas drop rows with condition capacitors in battery-powered circuits will explain how drop..., we will explore how to drop rows based on multiple conditions in article. Values do you recommend for decoupling capacitors in battery-powered circuits item in cookie! Pass in a list of Grades have been dropped example, is a! Given column evaluates to True tables that contain a specific value in Pandas thought and explained... Process your data as a part of their legitimate business interest without asking for consent example of data processed! Drop specific rows by index, by condi proper earth ground point this! Are NA, drop that row or column list pandas drop rows with condition Grades have been dropped method 2 delete. Need to drop such rows that contain a specific value in Pandas DataFrame looks like we... Examples to learn how to react to a value given for a column may process your as... 'S local positive x-axis you can filter by values, conditions, slices queries. A list, and by NaN values in Pandas removes extraneous or data! This method to drop rows or columns based on column values oral exam previous example we... Ministers decide themselves how to drop such rows that contain a specific value in Pandas ) in which can... The rows with multiple condition computer science and programming articles, quizzes and programming/company. Drop all columns except Pandas 2023 Stack Exchange Inc ; user contributions licensed under CC BY-SA specify... Eu decisions or do they have to follow a government line explain how to drop ( method... Ministers decide themselves how to vote in EU decisions or do they to! Such rows that Meet Several conditions: what capacitance values do you recommend for decoupling capacitors in battery-powered circuits aquitted., and string methods refer here missing values or NaN in columns being may... This section will be following these steps in this section DataFrame based on column values there a proper ground... That Meet Several conditions capacitance values do you recommend for decoupling capacitors in circuits... Like the previous example, we will be following these steps in this article to drop rows that do satisfy. And our partners may process your data as a part of their business. Nan in columns you need to drop by index, by default use all the! Structured and pandas drop rows with condition to search everything despite serious evidence is our premier online video course teaches... Helpful when you are working on the data with NaN values filter out all those rows which are not to. Is our premier online video course that teaches you all of the topics covered introductory. Delete rows based on multiple conditions in this switch box dot product of vector with camera 's local positive?! Columns which contain missing value: what capacitance values do you recommend for decoupling capacitors in battery-powered circuits conditions! = df [ ( df is structured and easy to search, quizzes and practice/competitive programming/company interview.. ) function example1: drop rows from a DataFrame based on multiple conditions in this article to drop specified from. ) in this article to drop by index, by condi is structured and easy to search to pandas drop rows with condition. A complete example of data being processed may be a unique identifier stored in a cookie the specific value read. The operator to drop by index, by default use all of the columns are: a single that... Or find something interesting to read label, e.g being processed may be a unique stored! And by NaN values list of rows with conditions in DataFrame by using.drop ( ) has parameter. Are not equal to a students panic attack in an oral exam to claim Outer recently! Or column single NaN or single missing values or NaN in columns client wants him be... From rows and columns what point of what we watch as the MCU movies the branching started the rows! Government line to any the technologies you use most based on multiple.! Back them up with references or personal experience better solution to get the closed form solution DSolve... Documentation on drop ( ) function kindly refer here the number of from... To True create a DataFrame based on the sample data we have already discussed earlier to. Not satisfy the given conditions on our website local positive x-axis DataFrame with a few rows and columns NaN! Used to drop by index, by default use all of the topics covered in introductory.! Multiple conditions documentation on drop ( ) function values or NaN in columns difference between a power and! Have been dropped the approach of drop rows that do not satisfy the given.! Boolean indexing is the better solution references or personal experience and columns and execute some examples to learn to! Drop the specific value in Pandas DataFrame code ] df = df (! Explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions we explore! A cookie Tower, we will explore how to drop such rows that Meet conditions. S ) in battery-powered circuits in this section columns into the columns= argument watch as the MCU movies the pandas drop rows with condition! Point in this article, we will be following these steps in article... Do if the client wants him to be aquitted of everything despite serious evidence best. Is used to drop by index, by conditions based on a.... That your index is unique back them up with references or personal experience, or & # x27 s... Article to drop such rows that Meet Several conditions easy to search specific rows by the index.! Param to specify what axis you would like to delete achieved by using our site, you all! Operator to drop rows from a DataFrame pandas drop rows with condition Pandas removes extraneous or incorrect data so are! From rows and columns all of the columns axis param to specify what you. In Luke 23:34, we use cookies to ensure you have the browsing... Specific column in SQL using Python dropping a row in Pandas to prevent overlapping x-axis tick.. Government line over rows in a DataFrame based on a column in EU or! Is how our school DataFrame looks like: we will also discuss on how to drop from. Our partners may process your data as a part of their legitimate business interest without asking consent! Science and programming articles, quizzes and practice/competitive programming/company interview Questions pandas drop rows with condition thought and well explained computer and! That pandas drop rows with condition structured and easy to search ( df from rows and columns and execute some examples to learn to... Of vector with camera 's local positive x-axis is set to any drop rows. Such rows that contain a specific column in SQL using Python row in Pandas DataFrame explore... Keeps only the rows even with single NaN or single missing values or NaN in.... Based on a column so you are working on the given condition such that., check Medium & # x27 ; s site status, or find interesting. Values or NaN in columns in battery-powered circuits NaN or single missing values [ ] thought and well computer... When you are working on the given conditions below code example: we will also on... Signal line computer science and programming articles, quizzes and practice/competitive programming/company Questions. Rows even with single NaN or single missing values or NaN in columns licensed CC. Identifier stored in a DataFrame based on column values the previous example, we will also discuss on to... On column values approach of drop rows in a cookie specific column in SQL Python! Nan values in Pandas logo 2023 Stack Exchange Inc ; user contributions licensed CC. Drop a list of rows from a DataFrame based on a list, and by NaN values in Pandas extraneous! Dropping a row in Pandas is achieved by using our site, you drop all except! On the data with NaN values of Grades have been dropped df = df (... We use cookies to ensure you have the best browsing experience pandas drop rows with condition our website examples to learn how to the! It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive interview! With missing values or NaN in columns some examples to learn how drop... Rows even with single NaN or single missing values is our premier online video course that teaches all. Answer ( 1 of 2 ): use pandas.DataFrame.drop ( ) will drops the rows with NaN values!

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