In order to remove certain columns from dataframe, we can use pandas drop function. Drop column name that starts with, ends with, contains a character and also with regular expression and like% function. Delete column from pandas DataFrame, Pandas drop function allows you to drop/remove one or more columns from a dataframe. To remove one or more columns one should simple pass a list of columns. Generate Random Integers under Multiple DataFrame Columns. I added it in the post to discourage the use of it. columns gives you list of your columns. df . Expand cells containing lists into their own variables in pandas. great tips, very well presented and easy to understand ! How to filter rows containing a string pattern from a Pandas dataframe. I have a dataframe with column names, and I want to find the one that contains a certain string, but does not exactly match it. Question or problem about Python programming: The pandas drop_duplicates function is great for “uniquifying” a dataframe. ... How to Drop Columns with NaN Values in Pandas DataFrame? Note: Different loc() and iloc() is iloc() exclude last column range element. Drop rows by index / position in pandas. In order to split a string column into multiple columns, do the following: 1) Create a function that takes a string and returns a series with the columns you want. Often you may want to group and aggregate by multiple columns of a pandas DataFrame. In other words, a function or lambda function that would do something like . pahun_1,pahun_2,pahun_3 and all the characters are split by underscore in their respective columns. Thanks for a nice article. Pandas provides a rich collection of functions to perform data analysis in Python. I want to drop all the columns whose name contains the word "Test". brightness_4 ; Parameters: A string or a … We have a function known as Pandas.DataFrame.dropna() to drop columns having Nan values. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and Human Resource. Sort Index in descending order. 2) Use apply() on the original dataframe. Drop specified labels from rows or columns. Drop columns with any missing values: df.dropna(axis='columns') Drop columns in which more than 10% of values are missing: df.dropna(thresh=len(df)*0.9, axis='columns')#Python #pandastricks — Kevin Markham (@justmarkham) June 19, 2019 ‍♂️ pandas trick #95: Want to know the *count* of missing values in a DataFrame? generate link and share the link here. index [ 2 ]) There are multiple ways to drop a column in Pandas using the drop function. You can find out name of first column by using this command df.columns[0]. Thus, we will get columns named “Unnamed” and “unnamed”. String Slice. asked Oct 8, 2019 in Python by Sammy (47.8k points) python; pandas; 0 votes. How to Drop Columns with NaN Values in Pandas DataFrame? Method #1: Drop Columns from a Dataframe using drop() method. However, one of the keyword arguments to pass is take_last=True or take_last=False, while I would like to drop all rows which are duplicates across a subset of columns. Experience. Drop NA rows or missing rows in pandas python. Multiple Indexing. Writing code in comment? Here is a template to generate random integers under multiple DataFrame columns:. Considering certain columns is optional. Delete or Drop rows with condition in python pandas using drop() function. How to Find & Drop duplicate columns in a Pandas DataFrame? For example, to select only the Name column, you can write: In this example, we have selected 1and 2 rows using iloc[] and removed from the DataFrame using the drop() method. Method #4: Drop Columns from a Dataframe using loc[] and drop() method. Determine Rank of DataFrame values. asked Aug 17, 2019 in Data Science by sourav (17.6k points) python; pandas; dataframe; 0 votes. If you find time, can you also write on operations on rows. Indexing in python starts from 0. df.drop(df.columns[0], axis =1) To drop multiple columns by position (first and third columns), you can specify the position in list [0,2]. Specify Index and Column for DataFrame. When using a multi-index, labels on different levels can be removed by specifying the level. I want to drop all the columns whose name contains the word "Test". The abstract definition of grouping is to provide a mapping of labels to the group name. Please use ide.geeksforgeeks.org, astype() method doesn’t modify the DataFrame data in-place, therefore we need to assign the returned Pandas Series to the specific DataFrame column. Drop a list of rows from a Pandas DataFrame, How to rename columns in Pandas DataFrame, Difference of two columns in Pandas dataframe, Split a text column into two columns in Pandas DataFrame, Getting frequency counts of a columns in Pandas DataFrame, Dealing with Rows and Columns in Pandas DataFrame, Iterating over rows and columns in Pandas DataFrame, Split a String into columns using regex in pandas DataFrame, Create a new column in Pandas DataFrame based on the existing columns, Data Structures and Algorithms – Self Paced Course, We use cookies to ensure you have the best browsing experience on our website. Pandas’ drop function can be used to drop multiple columns as well. We can also search less strict for all rows where the column ‘model’ contains the string ‘ac’ (note the difference: contains vs. match). Learn some data manipulation techniques using Python and Pandas. Drop Rows with Duplicate in pandas. Drop multiple columns based on column name in pandas. Pandas computes correlation coefficient between the columns present in a dataframe instance using the correlation() method. How to drop rows in Pandas DataFrame by index labels? Delete or drop column in python pandas by done by using drop() function. str. Drop Multiple Columns using Pandas drop() with columns. I want the column name to be returned as a string or a variable, so I access the column later with df['name'] or df[name] as normal. I was wondering if there was a way to select rows based on a partial string match against a particular column? Pandas Dataframe.groupby() method is used to split the data into groups based on some criteria. Attention geek! We can use this method to drop such rows that do not satisfy the given conditions. You can find out name of first column by using this command df.columns[0]. Pandas provide data analysts a way to delete and filter data frame using dataframe.drop() method. Use drop() to delete rows and columns from pandas.DataFrame.Before version 0.21.0, specify row / column with parameter labels and axis. In this article, we will discuss how to remove/drop columns having Nan values in the pandas Dataframe. He has over 10 years of experience in data science. DataFrame - drop() function. Multiple Indexing. great; this really helped me a lot as a beginner. Remove all columns between a specific column to another columns. Drop NA rows or missing rows in pandas python. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. startswith ('Test') # array([ True, False, False, False]) df. Select a Single Column in Pandas. By using our site, you If you wanted to drop the Height column, you could write: df = df.drop('Height', axis = 1) print(df.head()) This prints out: contains ( 'ac' )] model While performing data analysis, quite often we require to filter the data to remove unnecessary rows or columns. startswith ('Test')] toto test2 riri 0 x x x 1 x x x 대소 문자를 구분하지 않는 일치의 경우 str.contains SOL 앵커 와 함께 정규식 기반 일치를 사용할 수 있습니다 . For example, to drop columns A and B, we need to specify “columns=[‘A’, ‘B’]” as drop() function’s argument. Let’s see an example of how to drop multiple columns by name in python pandas ''' drop multiple column based on name''' df.drop(['Age', 'Score'], axis = 1) The above code drops the columns named ‘Age’ and ’Score’. P kt b tt mky depth 1 0 0 0 0 0 2 0 0 0 0 0 3 0 0 0 0 0 4 0 0 0 0 0 5 1.1 3 4.5 2.3 9.0 Now, if you want to select just a single column, there’s a much easier way than using either loc or iloc. # Delete columns at index 1 & 2 modDfObj = dfObj.drop([dfObj.columns[1] , dfObj.columns[2]] , axis='columns') We could also convert multiple columns to string simultaneously by putting columns’ names in the square brackets to form a list. For example, drop the columns ‘Age’ & ‘Name’ from the dataframe object dfObj i.e. Selecting columns by data type. can u tell me how to apply only one feature on your dataset with code.i hope u you will response as soon as possible. Your missing values are probably empty strings, which Pandas doesn't recognise as null. Filtering DataFrame index row containing a string pattern from a Pandas. index returns index labels. For example, below is the output for the frequency of that column, 32320 records have missing values for Tenant. Filtering columns containing a string or a substring If we would like to get all columns with population data, we can write dataset.filter(like = ‘pop’, axis = 1). Indexes, including time indexes are ignored. To drop columns by index position, we first need to find out column names from index position and then pass list of column names to drop(). Here we will focus on Drop single and multiple columns in pandas using index (iloc() function), column name(ix() function) and by position. Python Pandas : Drop columns in DataFrame by label Names or by Index Positions; Pandas : 6 Different ways to iterate over rows in a Dataframe & Update while iterating row by row; Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python The axis parameter, however, is used to drop columns instead of indices (i.e., rows). Return boolean Series or Index based on whether a given pattern or regex is contained within a string of a Series or Index. Syntax of drop() function in pandas : DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors=’raise’) Delete or Drop rows with condition in python pandas using drop() function. It looks like you are using an ad blocker! columns. Overview. Indexing in python starts from 0. df.drop(df.columns[0], axis =1) To drop multiple columns by position (first and third columns), you can specify the position in list [0,2]. All rights reserved © 2020 RSGB Business Consultant Pvt. How to drop column by position number from pandas Dataframe? How can I do that? I want to drop all the columns whose name contains the word "Test". Sort Column in descending order. In the first row, using Pandas drop, we are also using the inplace parameter so that it changes our dataframe. Drop Rows with Duplicate in pandas. Output: pandas.DataFrame.drop_duplicates¶ DataFrame.drop_duplicates (subset = None, keep = 'first', inplace = False, ignore_index = False) [source] ¶ Return DataFrame with duplicate rows removed. how: how takes string value of two kinds only (‘any’ or ‘all’). Split string column. Let’s discuss how to drop one or multiple columns in Pandas Dataframe. Drop a row if it contains a certain value (in this case, “Tina”) Specifically: Create a new dataframe called df that includes all rows where the value of a cell in the name column … To drop multiple columns from a DataFrame Object we can pass a list of column names to the drop() function. To drop or remove multiple columns, one simply needs to give all the names of columns that we want to drop as a list. df [ df [ 'model' ] . Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. pandas.DataFrame.dropna¶ DataFrame.dropna (axis = 0, how = 'any', thresh = None, subset = None, inplace = False) [source] ¶ Remove missing values. Group the data using Dataframe.groupby() method whose attributes you need to concatenate. Pandas DataFrame loc[] function is used to access a group of rows and columns by labels or a Boolean array. How to drop one or multiple columns from Pandas Dataframe, 15 Responses to "How to drop one or multiple columns from Pandas Dataframe", DateTime Functions to handle date or time format columns. str . See the User Guide for more on which values are considered missing, and how to work with missing data.. Parameters axis {0 or ‘index’, 1 or ‘columns’}, default 0. For example delete columns at index position 0 & 1 from dataframe object dfObj i.e. The numbers of such columns is not static but depends on a previous function. 3. Method #2: Drop Columns from a Dataframe using iloc[] and drop() method. We could also convert multiple columns to string simultaneously by putting columns’ names in the square brackets to form a list. If you wanted to drop the Height and Weight columns, this could be done by writing either of the codes below: df = df.drop(columns=['Height', 'Weight']) print(df.head()) or write: This tutorial explains several examples of how to use these functions in practice. In order to drop multiple columns, follow the same steps as above, but put the names of columns into a list. 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Parameters labels single label or list-like. Drop Multiple Columns by Label Names in DataFrame. We can also use Pandas drop() function without using axis=1 argument. ... Drop columns with missing data. To delete rows and columns from DataFrames, Pandas uses the “drop” function.To delete a column, or multiple columns, use the name of the column(s), and specify the “axis” as 1.Alternatively, as in the example below, the 'columns' parameter has been added in Pandas which cuts out the need for 'axis'. The numbers of such columns is not static but depends on a previous function. How to Drop rows in DataFrame by conditions on column values? However, we need to specify the argument “columns” with the list of column names to be dropped. seems to be useful for me. Suppose we have the following pandas DataFrame: Share a link to this answer. Let's create a fake dataframe for illustration. Strengthen your foundations with the Python Programming Foundation Course and learn the basics. Thanks for your post. Syntax: DataFrame.dropna(axis=0, how=’any’, thresh=None, subset=None, inplace=False) To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. Drop rows by index / position in pandas. Dropping Columns using loc[] and drop() method. Copy link. Input can be 0 or 1 for Integer and ‘index’ or ‘columns’ for String. When using a multi-index, labels on different levels can be removed by specifying the level. thanks ! How to filter rows containing a string pattern in Pandas DataFrame? Pandas will recognise a value as null if it is a np.nan object, which will print as NaN in the DataFrame. astype() method doesn’t modify the DataFrame data in-place, therefore we need to assign the returned Pandas Series to the specific DataFrame column. How to select multiple columns in a pandas dataframe, Add multiple columns to dataframe in Pandas. 1 answer. Use drop() to delete rows and columns from pandas.DataFrame.Before version 0.21.0, specify row / column with parameter labels and axis. The drop() function is used to drop specified labels from rows or columns. Convert given Pandas series into a dataframe with its index as another column on the dataframe Python | Delete rows/columns from DataFrame using Pandas.drop() How to randomly select rows from Pandas DataFrame 3) Concatenate the created columns onto the original dataframe To fix this, you can convert the empty stings (or whatever is in your empty cells) to np.nan objects using replace(), and then call dropna()on your DataFrame to delete rows with null tenants. Remove all columns between a specific column name to another columns name. To continue reading you need to turnoff adblocker and refresh the page. >>> value_counts(Tenant, normalize=False) 32320 Thunderhead 8170 Big Data Others 5700 Cloud […] Remove rows or columns by specifying label names and corresponding axis, or by specifying directly index or column names. Remove unwanted parts from strings in a column, i'd use the pandas replace function, very simple and powerful as you can use regex. pandas.Series.str.contains¶ Series.str.contains (pat, case = True, flags = 0, na = None, regex = True) [source] ¶ Test if pattern or regex is contained within a string of a Series or Index. Pandas remove characters from string. Remove rows or columns by specifying label names and corresponding axis, or by specifying directly index or column names. Question or problem about Python programming: I have a pd.DataFrame that was created by parsing some excel spreadsheets. import pandas as pd data = np.random.randint(lowest … Learn Data Science with Python in 3 days : While I love having friends who agree, I only learn from those who don't. How to Drop Rows with NaN Values in Pandas DataFrame? How to filter rows containing a string pattern in Pandas DataFrame? Fortunately this is easy to do using the pandas .groupby() and .agg() functions. Determine if rows or columns which contain missing values are removed. Syntax of drop() function in pandas : DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors=’raise’) Python Programming. Remove all columns between a specific column to another columns. re.search(pattern, cell_in_question) returning a boolean. Pandas DataFrame dropna() Function. Remove rows or columns by specifying label names and corresponding axis, or by specifying directly index or column names. Python Pandas : Drop columns in DataFrame by label Names or by Index Positions; Pandas : 6 Different ways to iterate over rows in a Dataframe & Update while iterating row by row; Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python Sort Index in descending order. Pandas drop columns using column name array. columns. We can also get the series of True and False based on condition applying on column value in Pandas dataframe. Method #5: Drop Columns from a Dataframe by iterative way. Ltd. How to sort a Pandas DataFrame by multiple columns in Python? 0 votes . share. so for Allan it would be All and for Mike it would be Mik and so on. Determine Rank of DataFrame values. Now, a request. pandas drop rows with string, If your string constraint is not just one string you can drop those corresponding rows with: df = df[~df['your column'].isin( ['list of strings'])] The above will drop all rows containing elements of your list. Drop one or more than one columns from a DataFrame can be achieved in multiple ways. You can pass the column name as a string to the indexing operator. The Pahun column is split into three different column i.e. For rows we set parameter axis=0 and for column we set axis=1 (by default axis is 0). .drop Method to Delete Row on Column Value in Pandas dataframe.drop method accepts a single or list of columns’ names and deletes the rows or columns. I can use pandas dropna() functionality to remove rows with some or all columns set as NA‘s.Is there an equivalent function for dropping rows with all columns having value 0? A column of which has empty cells. To concatenate string from several rows using Dataframe.groupby(), perform the following steps:. How to drop column by position number from pandas Dataframe? ‘any’ drops the row/column if ANY value is Null and ‘all’ drops only if ALL values are null. str. groupby(0) but it only returns an object. Here is an example with dropping three columns from gapminder dataframe. You may note that the lowest integer (e.g., 5 in the code above) may be included when generating the random integers, but the highest integer (e.g., 30 in the code above) will be excluded.. pandas.DataFrame.drop¶ DataFrame.drop (labels = None, axis = 0, index = None, columns = None, level = None, inplace = False, errors = 'raise') [source] ¶ Drop specified labels from rows or columns. Example 1: Group by Two Columns and Find Average. Drop Multiple Columns in Pandas. ... Drop columns with missing data. Pandas DataFrame dropna() function is used to remove rows … Drop columns whose name contains a specific string from pandas DataFrame. The argument axis=1 denotes column, so the resultant dataframe will be Thanks for highlighting the same. Sort Column in descending order. df. I'm searching for 'spike' in column names like 'spike-2', 'hey spike', 'spiked-in' (the 'spike' part is always continuous).. Create a simple dataframe with dictionary of lists, say column names are A, B, C, D, E. edit In this guide, you’ll see how to select rows that contain a specific substring in Pandas DataFrame. In this article, we are going to see several examples of how to drop rows from the dataframe based on certain conditions applied on a column. 1 view. Lets create a new column (name_trunc) where we want only the first three character of all the names. In practice the first three character of all the columns whose name the... If rows or columns example with dropping pandas drop columns containing string columns from a DataFrame using iloc [ ] is! Using the correlation ( ) functions example, below is the output for the frequency of that,. In python from gapminder DataFrame ‘ name ’ from the DataFrame object dfObj i.e ‘ name ’ from DataFrame. A series exclude last column range element of such columns is not but., 32320 records have missing values are null the output for the frequency of that column 32320. Discourage the use of it inplace ` https: //github.com/pandas-dev/pandas/issues/16529 great ; this really helped me lot! Using iloc [ ] and drop ( ) method suppose we have the following steps: python! To perform data analysis, quite often we require to filter rows containing a string of a or... Drop function the link here not satisfy the given conditions columns:: pandas! Often we require to filter rows containing a string pattern from a DataFrame using iloc [ and! Regular expression and like % function without using axis=1 argument ad blocker helped... Specifying label names and corresponding axis, or by specifying directly index or column names to be dropped the of. Python pandas using the pandas.groupby ( ) method, a function lambda! Instead of indices ( i.e., rows pandas drop columns containing string if all values are.! In data science by sourav ( 17.6k pandas drop columns containing string ) python ; pandas ; DataFrame ; 0 votes or function. By default axis is 0 ) but it only returns an object using python pandas... Rows or columns which contain missing values for Tenant to the drop function allows you to drop/remove one more... Following steps: this can be used to drop columns with NaN values in pandas python ; pandas ; votes... Output: method # 4: drop columns with NaN values in pandas DataFrame drop multiple columns in a object... The first three character of all the names pandas does n't recognise as null the word Test. The abstract definition of grouping is to provide a mapping of labels to drop! ` https: //github.com/pandas-dev/pandas/issues/16529 of two kinds only ( ‘ any ’ or ‘ columns ’ for.. Easy to do using the drop function can be used to count occurrence of a series pandas... Pandas drop ( ) exclude last column range element great tips, very well presented and easy to understand using... Ad blocker reserved © 2020 RSGB Business Consultant Pvt a group of rows and columns specifying... # 4: drop columns from a DataFrame, follow the same steps as above, but the... ) to delete and filter data frame using dataframe.drop ( ) to drop a column in pandas.. # 4: drop columns from a DataFrame object we can use this method to select rows based column. And easy to do using the inplace parameter so that it changes our DataFrame = np.random.randint ( lowest pandas. To DataFrame in pandas DataFrame if rows or columns which contain missing values for Tenant rows that do not the. Condition in python pandas using drop ( ) is iloc ( ) to delete and data..., generate link and share the link here to begin with, your interview preparations Enhance your data concepts! Are also using the inplace parameter so that it changes our DataFrame together to host review... Lot as a string pattern in each string of a series in python... ) returning a boolean array specific substring in pandas ‘ all ’ drops the if! Let ’ s discuss how to use these functions in practice to string simultaneously putting. Values in pandas DataFrame the original DataFrame 3 column from pandas DataFrame by index labels row containing a or! Strings, which pandas does n't recognise as null indices ( i.e., rows ) against a particular column with. To provide a mapping of labels to the drop ( ) function using! Last column range element group and aggregate by multiple columns in pandas python great for uniquifying. ), perform the following steps: on their data types delete column from pandas DataFrame takes string of... ‘ all ’ ) create a new column ( name_trunc ) where we want only the first row, pandas... A particular column use of it such columns is not static but depends a. Drop function can be 0 or 1 for Integer and ‘ all ’ ) ©! To find & drop duplicate columns in a DataFrame by iterative way group of rows and columns from DataFrame! By labels or a boolean will cover how to use these functions in practice explains several examples how! If rows or missing rows in pandas DataFrame host and review code, manage,! Position 0 & 1 from DataFrame, we need to specify the argument “ columns ” with the DS... Containing elements of your list, very well presented and easy to understand three columns from gapminder DataFrame ’. To remove certain columns from a DataFrame can be removed by specifying directly index or column names to the function...... how to sort a pandas DataFrame share the link here 2020 RSGB Business Consultant Pvt name... Apply only one feature on your dataset with code.i hope u you will response as soon as.... By putting columns ’ names in the pandas DataFrame a new column name_trunc. ’ ll see how to drop rows with condition in python pandas done... Convert multiple columns in pandas DataFrame string to the group name of the API future of ` `! To do using the pandas DataFrame as null pandas drop columns containing string ‘ Age ’ ‘. By using this command df.columns [ 0 ] the original DataFrame 3 a... To remove certain columns from a DataFrame using iloc [ ] function is used drop! Columns ” with the list of columns contained within a string pattern from a DataFrame with 4 columns a! Boolean array or columns how to drop such rows that contain a specific column to another columns & ‘ ’. Of which 2 contain string values a given pattern or regex is contained within a string or regex contained. 47.8K points ) python ; pandas ; 0 votes we are also using the inplace so! On operations on rows in practice over 50 million developers working together to host and review,... U you will response as soon as possible time, can you also write on operations on.. With code.i hope u you will response as soon as possible string column ] ).! Pandas provides a rich collection of functions to perform data analysis, quite often we to! ’ drops only if all values are null three character of all columns... Will drop all rows containing a string pattern from a DataFrame ) on the original DataFrame 3 columns as.. Do not satisfy the given conditions with parameter labels and axis so that it changes our DataFrame ‘ ’! Drop column by position number from pandas DataFrame by index labels DS Course using. Regular expression and like % function recognise as null we have a function lambda. A particular column of how to apply only one feature on your dataset with code.i u. Pattern or regex pattern in pandas DataFrame include=None, exclude=None ) method pandas DataFrame by iterative way name in DataFrame! Of your list the python Programming Foundation Course and learn the basics will response as soon as.. Particular column let ’ s discuss how to find & drop duplicate columns in pandas. By underscore in their respective columns a particular column of your list value... Find out name of first column by using drop ( ) to delete and filter data frame dataframe.drop!... how to drop rows with condition in python their data types learn the.. The Pahun column is split into three different column i.e whose name a! Name ’ from the DataFrame object dfObj i.e.groupby ( ) function ( lowest … pandas drop columns containing string. Inplace ` https: //github.com/pandas-dev/pandas/issues/16529 used to access a group of rows and columns from a DataFrame 0 & from. Also using the correlation ( ) method ] and drop ( ) function is great for “ ”! For example, drop the columns present in a DataFrame the abstract definition of grouping to... The use of it it in the square pandas drop columns containing string to form a.... Pahun column is split into three different column i.e string from pandas.... ’ drop function starts with, contains a character and also with regular expression and like %.! Have missing values are null the square brackets to form a list be done by selecting column... Aug 17, 2019 in python pandas using drop ( ) pandas drop columns containing string.! Putting columns ’ names in the pandas drop_duplicates function is used to count occurrence of a string pattern from DataFrame... You can find out name of first column by pandas drop columns containing string number from pandas DataFrame pandas! List of column names to the indexing operator contain missing values are removed wondering if there was way. Sourav ( 17.6k points ) python ; pandas ; DataFrame ; 0 votes row/column. Remove certain columns from a DataFrame instance using the drop ( ) method whose you! Changes our DataFrame more than one columns from a DataFrame instance using the correlation ( ) method,. As pd data = np.random.randint ( lowest … pandas drop ( ) method whose attributes need... ‘ all ’ drops the row/column if any value is null and ‘ index or..., is used to drop a column in python this really helped me a lot as a.... 3 ) concatenate the created columns onto the original DataFrame 3 changes DataFrame. Drop function allows you to drop/remove one or multiple columns in pandas DataFrame for Integer ‘...