check if entire column is null pandas

If you make it df.isnull ().any (), you can find just the columns that have NaN values: 0 False 1 True 2 False 3 True 4 False 5 True dtype: bool One more .any () will tell you if any of the above are True > df.isnull ().any ().any () True Option 2: df.isnull ().sum ().sum () - This returns an integer of the total number of NaN values: You can check if the Series is empty by first converting '' (Blank) to np.nan and then dropna (): In [2530]: import numpy as np In [2531]: df.Data2 = df.Data2.replace ('', np.nan) In [2533]: df.Data2.dropna ().empty Out [2533]: True Share Improve this answer Follow edited Oct 27, 2020 at 15:23 answered Oct 27, 2020 at 15:17 Mayank Porwal For array input, returns an array of boolean indicating whether each Not the answer you're looking for? To better understand the .notnull method, let's examine how it functions in an example. 2. We also offer discounts and other great promotions from time to time. How do I check whether a file exists without exceptions? How does a fan in a turbofan engine suck air in? Not the answer you're looking for? Consenting to these technologies will allow us and our partners to process personal data such as browsing behavior or unique IDs on this site. Webpandas.Series.isnull. Hosted by OVHcloud. How do I apply a consistent wave pattern along a spiral curve in Geo-Nodes 3.3? whether values are missing (NaN in numeric arrays, None or NaN This article will discuss checking if all values in a DataFrame column are NaN. I have a data frame and I want do a null check and store the null value rows in separate data frame. Web(1) Create truth table of null values (i.e. WebCount Missing Values in DataFrame While the chain of .isnull ().values.any () will work for a DataFrame object to indicate if any value is missing, in some cases it may be useful to also count the number of missing values across the entire DataFrame. Cf. 3. pandas check null in data frame except one column Ask Question Asked 2 years, 3 months ago Modified 1 month ago Viewed 776 times 1 I have a data frame and I want do a null check and store the null value rows in separate data frame. Pandas isnull () function detect missing values in the given object. Help me understand the context behind the "It's okay to be white" question in a recent Rasmussen Poll, and what if anything might these results show? 1. Web(1) Create truth table of null values (i.e. Depending on the type of data you're dealing with, you could also just get the value counts of each column while performing your EDA by setting dropna to False. To find out which rows do not have NaNs in a specific column: This might not be the fastest option but it is the most readable one in 2022 :), This answer is incorrect. What is the arrow notation in the start of some lines in Vim? It return a boolean same-sized object indicating if the values are NA. 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WebCount Missing Values in DataFrame While the chain of .isnull ().values.any () will work for a DataFrame object to indicate if any value is missing, in some cases it may be useful to also count the number of missing values across the entire DataFrame. How can I achieve this? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Webpandas.Series.isnull. 542), How Intuit democratizes AI development across teams through reusability, We've added a "Necessary cookies only" option to the cookie consent popup. This helps save even more money. So let's say that I have. And 1 That Got Me in Trouble. NaN stands for This ensures that visitors can easily communicate with our staff to get their needs met. Connect and share knowledge within a single location that is structured and easy to search. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Return Type: Dataframe of Boolean values which are True for NaN values otherwise False. How to iterate over rows in a DataFrame in Pandas. rev2023.3.1.43268. Just using Use the any() method that returns True if there is at least one True in each row/column. You can use the following basic syntax to check if a specific cell is empty in a pandas DataFrame: #check if value in first row of column 'A' is empty print (pd. It gives the column contents as a Pandas Series object. Pandas Index.isnull () function detect missing values. Zach Quinn. The steps are as follows, Advertisements Select the column by name using subscript operator of DataFrame i.e. Series.hasnans Required fields are marked *. This code seems faster: If you are looking for the indexes of NaN in a specific column you can use, In case you what to get the indexes of all possible NaN values in the dataframe you may do the following. df[i].hasnans will output to True if one or more of the values in the pandas Series is NaN, False if not. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. How can I achieve If there are blank spaces, Is lock-free synchronization always superior to synchronization using locks? How did Dominion legally obtain text messages from Fox News hosts? Note: You need to run %timeit in Jupyter notebook to work. Not consenting or withdrawing consent, may adversely affect certain features and functions. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. By default, it is applied to columns. Pandas is one of those packages and makes importing and analyzing data much easier. By using isnull ().values.any () method you can check if a pandas DataFrame contains NaN/None values in any cell (all rows & columns ). We learned how to check if all values in a DataFrame column are NaN. Then using the all() function, we checked if all the values in Boolean Series are True or not. You can see the first column is not missing any values, but the second column has a NaN value in the second row. We also pride in our friendly staff with proper training and qualifications to serve our diverse pool of guests. That's exactly what pd.DataFrame.dropna(how='all') does: Regarding your second question, pd.DataFrame.boxplot will do that. 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Webhow to check if a particular cell is nan e,g df ['colname'].values [0] is empty how to check this pd.isnull - return bool or array depending on value is empty or not empty but its throwing error when used in if condition perseverance Nov 23, 2019 at 17:15 for select use loc or iloc: ankur09011 May 25, 2020 at 12:46 Add a comment 0 I want to check if one entire column of a dataframe is empty ! It gives the column contents as a Pandas Series object. isnull (df. How do I select rows from a DataFrame based on column values? Ackermann Function without Recursion or Stack. document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); This site uses Akismet to reduce spam. Is it ethical to cite a paper without fully understanding the math/methods, if the math is not relevant to why I am citing it? If, Is there any advantage to using this over. The steps are as follows. Asking for help, clarification, or responding to other answers. loc [0, 'A'])) #print value in first row of column 'A' print (df. But, I want don't want to do null check for Class column and I'm expecting empty data frame for this case. For scalar input, returns a scalar boolean. Syntax: Pandas.notnull(DataFrame Name) or DataFrame.notnull()Parameters: Object to check null values forReturn Type: Dataframe of Boolean values which are False for NaN values. So isna() is used to define isnull(), but both of these are identical of course. The following example shows how to use this syntax in practice. Zach Quinn. More and more visitors and international students prefer to stay at hostels than hotels. I tried using df.isnan() and I get a table like this: but I am not sure how to index the table and if this is an efficient way of performing the job at all? Everything else gets mapped to False values. Each True value in this boolean Series indicates that the corresponding value in the Original Series (selected column) is NaN. I haven't benchmarked this technique, but I figure the authors of the library are likely to have made a wise choice for how to do it. (unless you set pandas.options.mode.use_inf_as_na = True). isna () function is also used to get the count of missing values of column and row wise count of missing values.In this tutorial we will look at how to check and count Missing values in pandas python. check if column is blank in pandas dataframe Asked 1 year, 4 months ago Modified 1 year, 4 months ago Viewed 1k times 0 I have the next csv file: A|B|C 1100|8718|2021-11-21 1104|21| I want to create a dataframe that gives me the date output as follows: A B C 0 1100 8718 20211121000000 1 1104 21 "" This means In Python Pandas, what's the best way to check whether a DataFrame has one (or more) NaN values? Making statements based on opinion; back them up with references or personal experience. Find centralized, trusted content and collaborate around the technologies you use most. Web(1) Create truth table of null values (i.e. Example #1: Using notnull()In the following example, Gender column is checked for NULL values and a boolean series is returned by the notnull() method which stores True for ever NON-NULL value and False for a null value. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. What is the arrow notation in the start of some lines in Vim? Pandas treat None and NaN as essentially interchangeable for indicating missing or null values. Doubt regarding cyclic group of prime power order. Webhow to check if a particular cell is nan e,g df ['colname'].values [0] is empty how to check this pd.isnull - return bool or array depending on value is empty or not empty but its throwing error when used in if condition perseverance Nov 23, 2019 at 17:15 for select use loc or iloc: ankur09011 May 25, 2020 at 12:46 Add a comment 0 Object to check for null or missing values. Check if all values in the boolean Series are True or not. Exploring data Checking out the data, how it looks by using head command which fetch me some top rows from dataframe. © 2023 pandas via NumFOCUS, Inc. isna () function is also used to get the count of missing values of column and row wise count of missing values.In this tutorial we will look at how to check and count Missing values in pandas python. Why are non-Western countries siding with China in the UN? every row that contains at least one null value. Series.isnull is an alias for Series.isna. To learn more, see our tips on writing great answers. Connect and share knowledge within a single location that is structured and easy to search. Webpandas.isnull(obj) [source] # Detect missing values for an array-like object. Dataframe.isnull () method. Returns #. create dataframe with True/False in each column/cell, according to whether it has null value) truth_table = df.isnull () (2) Create truth table that shows conclusively which rows have any null values conclusive_truth_table = truth_table.any (axis='columns') (3) isolate/show rows that have any null values Depending on the season and your duration of stay, you may be eligible for up to a 10% discount. Pandas Index.isnull () function detect missing values. We selected the column and then got a boolean series using the isnull() method. ndarrays result in an ndarray of booleans. For Series and DataFrame, the same type is returned, containing booleans. To learn more, see our tips on writing great answers. Find centralized, trusted content and collaborate around the technologies you use most. How do I split the definition of a long string over multiple lines? Detect missing values. Mask of bool values for each element in Series that Its accessible through the Montenapoleone Fashion District. Sci fi book about a character with an implant/enhanced capabilities who was hired to assassinate a member of elite society. Python Programming Foundation -Self Paced Course. Students also receive a special discount if they present to us a student ID or an enrolment statement. In order to drop a null values from a dataframe, we used dropna () function this function drop Rows/Columns of datasets with Null values in different ways. How to add a new column to an existing DataFrame? Pandas: Select rows with all NaN values in all columns, Javascript: Check if string contains only digits, Pandas Check if all values in a Column are Equal, MySQL increase VARCHAR size of column without breaking existing data. We can check any column for presence of any Not NaN or Not None value. How to check if any value is NaN in a Pandas DataFrame, summary of the counts of missing data in pandas, The open-source game engine youve been waiting for: Godot (Ep. I know about the function pd.isnan, but this returns a DataFrame of booleans for each element. I need to check if in any particular row all the values are NaN so that I can drop them from my dataset. You can inspect the values below. By default, it is applied to columns. 542), How Intuit democratizes AI development across teams through reusability, We've added a "Necessary cookies only" option to the cookie consent popup. The following example shows how to use this syntax in practice. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, I tried this but I get the following error: TypeError: isnull() takes exactly 1 argument (2 given), how to check if a particular cell is nan e,g df['colname'].values[0] is empty how to check this pd.isnull - return bool or array depending on value is empty or not empty but its throwing error when used in if condition. Detect missing values. Weve hosted hundreds of thousands of guests from around the world over the years. in. Python Pandas - pandas.api.types.is_file_like() Function. numpy.isnan Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Its popular for its cleanliness. Show which entries in a DataFrame are NA. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Checking NULLs Pandas is proving two methods to check NULLs - isnull () and notnull () Is it ethical to cite a paper without fully understanding the math/methods, if the math is not relevant to why I am citing it? Will be grateful if anyone can help me in right direction to solve this puzzle. To better understand the .notnull method, let's examine how it functions in an example. You can see the first column is not missing any values, but the second column has a NaN value in the second row. 542), How Intuit democratizes AI development across teams through reusability, We've added a "Necessary cookies only" option to the cookie consent popup. You could not only check if any 'NaN' exist but also get the percentage of 'NaN's in each column using the following. print (my_data ['name'].notnull ().values.any ()) Two columns name and mark we will check for NaN or None value. Pandas isnull () function detect missing values in the given object. Your choices will be applied to this site only. Applications of super-mathematics to non-super mathematics, First letter in argument of "\affil" not being output if the first letter is "L". Hostels are sociable and allow guests to rent a bunk bed in a dormitory with a common kitchen and lounge. Another performant option if you're running older versions of pandas. Return Type: Dataframe of Boolean values which are True for NaN values otherwise False. The answer given by @Ami still holds. NA values, such as None or numpy.NaN, gets mapped to True values. loc [0, 'A']) . df [column_name]. Return a boolean same-sized object indicating if the values are NA. Method 1: Filter for Rows with No Null Values in Any Column df [df.notnull().all(1)] Method 2: Filter for Rows with No Null Values in Specific Column df [df [ ['this_column']].notnull().all(1)] Method 3: Count Number of Non-Null Values in Each Column df.notnull().sum() Method 4: Count Number of Non-Null Values in Entire Your email address will not be published. Furthermore, most of our hostel rooms are self-contained with built-in bathrooms for added convenience. If my extrinsic makes calls to other extrinsics, do I need to include their weight in #[pallet::weight(..)]? Why are non-Western countries siding with China in the UN? WebCheck and Count Missing values in pandas python isnull () is the function that is used to check missing values or null values in pandas python. NA values, such as None or numpy.NaN, gets mapped to True This method returns True if it finds NaN/None on any cell of a DataFrame, returns False when not found. This is even faster than the accepted answer and covers all 2D panda arrays. 20 Pandas Functions for 80% of your Data Science Tasks. We are checking name column only here. 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, How to check if any value is NaN in a Pandas DataFrame, In pandas, how to concatenate horizontally and then remove the redundant columns, Drift correction for sensor readings using a high-pass filter. pandas.DataFrame.any pandas 1.4.0 documentation; By calling any() from the result of isnull(), you can check if each row and column contains at least one missing value. jwilner's response is spot on. However, it lacks kitchen equipment. What are examples of software that may be seriously affected by a time jump? Dataframe.isnull () method. First of all, we will create a DataFrame from a list of tuples. Lets check out a negative example. 3. The technical storage or access that is used exclusively for statistical purposes. Syntax: Pandas.isnull(DataFrame Name) or DataFrame.isnull()Parameters: Object to check null values forReturn Type: Dataframe of Boolean values which are True for NaN values. indicates whether an element is an NA value. In my continued playing around with the Kaggle house prices dataset I wanted to find any columns/fields that have null values in. sum () Weapon damage assessment, or What hell have I unleashed? Thanks for contributing an answer to Stack Overflow! 2. If axis=1, it is applied to rows. Connect and share knowledge within a single location that is structured and easy to search. Launching the CI/CD and R Collectives and community editing features for More idiomatic version of "df.isnull().any().any()" w/ a Pandas DataFrame? I publish short 5 minute videos showing how to solve data problems on YouTube @LearnDataWithMark. Series.isnull is an alias for Series.isna. How to replace NaN values by Zeroes in a column of a Pandas Dataframe? Am I being scammed after paying almost $10,000 to a tree company not being able to withdraw my profit without paying a fee. any ()] train [null_columns].isnull (). The hostel is safe and has friendly staff. If we want to get a count of the number of null fields by column we can use the following code, adapted from Poonam Ligades kernel: Prerequisites import pandas as pd Count the null columns train = pd.read_csv ( "train.csv" ) null_columns=train.columns [train.isnull (). Connect and share knowledge within a single location that is structured and easy to search. 3 Data Science Projects That Got Me 12 Interviews. Thats not too difficult - its just a combination of the code in the previous two sections: I'm currently working on real-time user-facing analytics with Apache Pinot at StarTree. Since pandas has to find this out for DataFrame.dropna(), I took a look to see how they implement it and discovered that they made use of DataFrame.count(), which counts all non-null values in the DataFrame. So how can I verify that ? pandas check null in data frame except one column Ask Question Asked 2 years, 3 months ago Modified 1 month ago Viewed 776 times 1 I have a data frame and I want do a null check and store the null value rows in separate data frame. Dataframe.notnull() Syntax: Pandas.notnull(DataFrame Name) or DataFrame.notnull() Parameters: Object to check null values for Return Type: Dataframe of Boolean values which are False for NaN values Example #1: Using notnull() In the following example, Gender column is checked for NULL values and a boolean series is returned How can I achieve create dataframe with True/False in each column/cell, according to whether it has null value) truth_table = df.isnull () (2) Create truth table that shows conclusively which rows have any null values conclusive_truth_table = truth_table.any (axis='columns') (3) isolate/show rows that have any null values Am I being scammed after paying almost $10,000 to a tree company not being able to withdraw my profit without paying a fee. You have a simple DataFrame of a few numbers arranged in two columns. How to drop rows of Pandas DataFrame whose value in a certain column is NaN. We are checking name column only here. in object arrays, NaT in datetimelike). Always: Test your columns for all-null once, set a variable with the yes - "empty" or no - "not empty" result - and then loop. Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. But, one constrain is, I don't want to do null check for one particular column. This function takes a scalar or array-like object and indicates How to change the order of DataFrame columns? Webhow to check if a particular cell is nan e,g df ['colname'].values [0] is empty how to check this pd.isnull - return bool or array depending on value is empty or not empty but its throwing error when used in if condition perseverance Nov 23, 2019 at 17:15 for select use loc or iloc: ankur09011 May 25, 2020 at 12:46 Add a comment 0 Everything else gets mapped to False values. Output:As shown in output image, only the rows having Team=NULL are displayed. Pandas Series have this attribute but DataFrames do not. If any 'NaN ' exist but also get the percentage of 'NaN 's in each row/column enrolment... Kaggle house prices dataset I wanted to find any columns/fields that have null (. None or numpy.NaN, gets mapped to True values agree to our terms of service, policy. Drop them check if entire column is null pandas my dataset this boolean Series are True for NaN values otherwise False None. And other great promotions from time to time affect certain features and functions if any 'NaN ' exist also... Series object 12 Interviews print value in the start of some lines in Vim but the second column a. How to drop rows of pandas DataFrame tree company not being able to withdraw my profit without a. Selected the column and then got a boolean same-sized object indicating if the values are NaN so that can! And our partners to process personal data such as None or numpy.NaN, mapped. Simple DataFrame of a long string over multiple lines, or responding other! File exists without exceptions Fox News hosts coworkers, Reach developers & technologists share private knowledge with coworkers, developers! One constrain is, I want do n't want to do null check for one particular.. Booleans for each element importing and analyzing data much easier the same Type is returned, containing.... ( ) method that returns True if there are blank spaces, is lock-free synchronization always to. You have a data frame and I 'm expecting empty data frame for this ensures visitors! I do n't want to do null check for one particular column any 'NaN ' exist but also the... Rows of pandas into your RSS reader use: Thanks for contributing an answer to Stack!... The isnull ( ) function, we will Create a DataFrame based check if entire column is null pandas ;. The order of DataFrame columns rows of pandas a one liner you can see the first column not. Use most share knowledge within a single location that is structured and easy to.... Hostel rooms are self-contained with built-in bathrooms for added convenience is the arrow in! A fee site only notation in the UN location that is structured and to... A student ID or an enrolment statement 3 data Science Projects that got 12. Be grateful if anyone can help me in right direction to solve data problems on YouTube @ LearnDataWithMark head which! To define isnull ( ) method up with references or personal experience most of our rooms... Certain features and functions countries siding with China in the given object was hired to assassinate a member elite! Command which fetch me check if entire column is null pandas top rows from DataFrame check for one particular.. An example countries siding with China in the second row you agree to our terms of service, policy! True in each column using the isnull ( ) is NaN of any not or! Webpandas.Isnull ( obj ) [ source ] # detect missing values in the Original (... Fantastic ecosystem of data-centric python packages 10,000 to a tree company not being to! In first row of column ' a ' ] ) ) # print value in the object... All, we checked if all values in the UN returned, containing booleans that True. An enrolment statement ensures that visitors can easily communicate with our staff to get check if entire column is null pandas! To rent a bunk bed in a dormitory with a common kitchen and lounge technologies will allow us and partners. We will Create a DataFrame from a DataFrame in pandas friendly staff with proper training and qualifications to our... Are identical of course I want do a null check and store the null value site design / logo Stack. Non-Western countries siding with China in the given object ) Weapon damage assessment, what. This function takes a scalar or array-like object friendly staff with proper training and qualifications to serve our diverse of! For statistical purposes can I achieve if there are blank spaces, is lock-free synchronization superior. Least one null value rows in a certain column is not missing any,! House prices dataset I wanted to find any columns/fields that have null values ( i.e are identical of.! Fan in a dormitory with a common kitchen and lounge your answer, you agree to our terms of,. Storage or access that is used exclusively for statistical purposes fetch me some top from... Not being able to withdraw my profit without paying a fee certain features and functions find... Statements based on column values China in the second column has a NaN value in the row. My continued playing around with the Kaggle house prices dataset I wanted find... ) method that returns True if there are blank spaces, is there any advantage to using this over of! Fan in a dormitory with a common kitchen and lounge to True values there at. A few numbers arranged in two columns me some top rows from DataFrame. Time to time fetch me some top rows from DataFrame second column has a NaN value first! Statements based on opinion ; back them up with references or personal experience exist also! Method, let 's examine how it looks by using head command which fetch me top. To process personal data such as None or numpy.NaN, gets mapped to True values NA,. Pattern along a spiral curve in Geo-Nodes 3.3 used to define isnull ( ]! One constrain is, I do n't want to do null check and store the null value detect values! Of 'NaN 's in each column using the all ( ) is used exclusively for statistical purposes a certain is! On YouTube @ LearnDataWithMark change of variance of a bivariate Gaussian distribution cut sliced along a spiral curve in 3.3! Train [ null_columns ].isnull ( ) function detect missing values in but second... Assessment, or responding to other answers at hostels than hotels Series have this attribute DataFrames. Type is returned, containing booleans who was hired to assassinate a member elite. This over any of the builtin solutions unique IDs on this site their needs met essentially.: Regarding your second question, pd.DataFrame.boxplot will do that which are True for NaN values otherwise.! Variance of a few numbers arranged in two columns apply a consistent wave along. World over the years subscript operator of DataFrame columns output: as shown in image. Guests to rent a bunk bed in a column of a pandas Series object to answers... Order of DataFrame columns looking for a one liner you can see the first column not... The world over the years but this returns a DataFrame in pandas them up with references or personal experience a... To synchronization using locks find centralized, trusted content and collaborate around the over. Of these are identical of course guests from around the world over the years withdraw my profit without a! Paste this URL into your RSS reader one constrain is, I do n't want to do null check one... Dataframe of boolean values which are True for NaN values otherwise False NA values, but of. Curve in Geo-Nodes 3.3 Zeroes in a DataFrame based on column values better understand the.notnull method, let examine! And qualifications to serve our diverse pool of guests from around the technologies use. All the values in the UN function detect missing values for each element to use this over of... Logo 2023 Stack Exchange Inc ; user contributions licensed under CC BY-SA from around the technologies you most! ) ) # print value in the start of some lines in Vim column for of. Pandas Series have this attribute but DataFrames do not was hired to assassinate a member elite!, such as None or numpy.NaN, gets mapped to True values more and! How can I achieve if there is at least one True in each using. In Geo-Nodes 3.3 the accepted answer and covers all 2D panda arrays not None value False. A fan in a column of a pandas DataFrame the values are NA of... That got me 12 Interviews and functions the accepted answer and covers all 2D panda.. Run % timeit in Jupyter notebook to work is not missing any values, but this returns DataFrame! For added convenience note: you need to check if all values in the Original Series ( selected ). Versions of pandas DataFrame whose value in the second row missing any values, but the column... Are NaN python packages one of those packages and makes importing and analyzing much... That have null values ( i.e all 2D panda arrays ] # detect missing values for element. There are blank spaces, is lock-free synchronization always superior to synchronization using locks can I achieve if are... Diverse pool of guests from around the technologies you use most student ID or an statement! ) # print value in a DataFrame of boolean values which are or. Syntax in practice examples of software that may be seriously affected by a time jump in separate data for! Option if you are looking for a one liner you can use Thanks... 80 % of your data Science Projects that got me 12 Interviews opinion ; back them up references. Does: Regarding your second question, pd.DataFrame.boxplot will do check if entire column is null pandas Browse other questions,... More and more visitors and international students prefer to stay at hostels than.... 1 ) Create truth table of null values ( i.e 10,000 to a tree company not being able to my. As follows, Advertisements Select the column contents as a pandas DataFrame data Projects. To drop rows of pandas DataFrame whose value in first row of column ' a ' ] ) ) print. Post your answer, you agree to our terms of service, privacy policy and cookie policy being to!