pandas series column name

to_csv([path_or_buf,Â sep,Â na_rep,Â â¦]). Pandas DataFrame – Change Column Names You can access Pandas DataFrame columns using DataFrame.columns property. Pandas set index() work sets the DataFrame index by utilizing existing columns. Purely integer-location based indexing for selection by position. You can convert Pandas DataFrame to Series using squeeze: df.squeeze() In this guide, you’ll see 3 scenarios of converting: Single DataFrame column into a Series (from a single-column DataFrame) Specific DataFrame column into a Series (from a multi-column DataFrame) Single row in the DataFrame into a Series The Pandas library enables users to create and manipulate dataframes (Tables of data) and time series effectively and efficiently. 14, Aug 20. Pandas set index is an inbuilt pandas work that is used to set the List, Series or DataFrame as a record of a DataFrame. When you want to combine data objects based on one or more keys in a similar way to a relational database, merge() is the tool you need. Print Series in Markdown-friendly format. Return Series as ndarray or ndarray-like depending on the dtype. Return Subtraction of series and other, element-wise (binary operator sub). Indexing in Pandas means selecting rows and columns of data from a Dataframe. Rename column / index: rename () Return Floating division of series and other, element-wise (binary operator rtruediv). Conform Series to new index with optional filling logic. Write object to a comma-separated values (csv) file. Compute numerical data ranks (1 through n) along axis. Return the transpose, which is by definition self. we are interested only in the first argument dtype. missing data (currently represented as NaN). Share. Lazily iterate over (index, value) tuples. to_markdown([buf,Â mode,Â index,Â storage_options]). backfill([axis,Â inplace,Â limit,Â downcast]). rfloordiv(other[,Â level,Â fill_value,Â axis]). Return number of unique elements in the object. Select values between particular times of the day (e.g., 9:00-9:30 AM). Using tolist() method with values with given the list of columns. A pandas Series can be created using the following constructor − pandas.Series( data, index, dtype, copy) The parameters of the constructor are as follows − rank([axis,Â method,Â numeric_only,Â â¦]). Return Modulo of series and other, element-wise (binary operator rmod). Return int position of the largest value in the Series. reindex_like(other[,Â method,Â copy,Â limit,Â â¦]). Access a single value for a row/column pair by integer position. Return Exponential power of series and other, element-wise (binary operator rpow). You can access individual column names using the … Data type for the output Series. ewm([com,Â span,Â halflife,Â alpha,Â â¦]). pct_change([periods,Â fill_method,Â limit,Â freq]). A scalar, list-like, dict-like or functions transformations to apply to that axis’ values. RangeIndex (0, 1, 2, â¦, n) if not provided. Convert TimeSeries to specified frequency. Shift index by desired number of periods with an optional time freq. Return Greater than of series and other, element-wise (binary operator gt). Return the median of the values over the requested axis. reorder_levels (order) Rearrange index levels using input order. If you wanted to select the Name, Age, and Height columns, you would write: selection = df[['Name', 'Age', 'Height']] print(selection) This returns: fillna([value,Â method,Â axis,Â inplace,Â â¦]). In this tutorial we will learn the different ways to create a series in python pandas (create empty series, series from array without index, series from array with index, series from list, series from dictionary and scalar value ). Encode the object as an enumerated type or categorical variable. pandas.Series.name¶ property Series.name¶ Return the name of the Series. Return whether any element is True, potentially over an axis. mean([axis,Â skipna,Â level,Â numeric_only]). One can change the column names of a pandas dataframe in at least two ways. As depicted in the picture below, columns with Name, Age and Designation representing a Series Return the maximum of the values over the requested axis. Delete column from pandas DataFrame. drop([labels,Â axis,Â index,Â columns,Â level,Â â¦]). skew([axis,Â skipna,Â level,Â numeric_only]). Since the column names are an ‘index’ type, you can use .str on them too. Return a Series/DataFrame with absolute numeric value of each element. Replace values given in to_replace with value. Just something to keep in mind for later. Unstack, also known as pivot, Series with MultiIndex to produce DataFrame. We will use Pandas coliumns function get the names of the columns. How To Select a Single Column with Indexing Operator [] ? Now, we can use these names to access specific columns by name without having to know which column number it is. Get Data types of Dataframe columns as dictionary. Return Integer division of series and other, element-wise (binary operator rfloordiv). Created using Sphinx 3.4.2. array-like, Iterable, dict, or scalar value, str, numpy.dtype, or ExtensionDtype, optional, pandas.core.arrays.categorical.CategoricalAccessor, pandas.core.indexes.accessors.CombinedDatetimelikeProperties, pandas.core.arrays.sparse.accessor.SparseAccessor, pandas.core.strings.accessor.StringMethods, pandas.Series.cat.remove_unused_categories. These dataframes can be used for training and testing machine learning models and Analyzing data. Draw histogram of the input series using matplotlib. The result is a series with labels as column names of the DataFrame. Return boolean if values in the object are monotonic_increasing. Accessing data from series with position: Accessing or retrieving the first element: Retrieve the first element. The name of a Series becomes its index or column name if it is used to form a DataFrame. By default the resulting series will be in descending order so that the first element is the most frequent element. Returns label (hashable object) The name of the Series, also the column name if part of a DataFrame. Return Greater than or equal to of series and other, element-wise (binary operator ge). groupby([by,Â axis,Â level,Â as_index,Â sort,Â â¦]). Return the row label of the minimum value. Created using Sphinx 3.4.2. pandas.Series.cat.remove_unused_categories. Convert Series from DatetimeIndex to PeriodIndex. Cast to DatetimeIndex of Timestamps, at beginning of period. Return int position of the smallest value in the Series. Series with index labels or name altered or None if inplace=True. rmul(other[,Â level,Â fill_value,Â axis]). Return cumulative minimum over a DataFrame or Series axis. Return Less than of series and other, element-wise (binary operator lt). rename([index,Â axis,Â copy,Â inplace,Â level,Â â¦]), rename_axis([mapper,Â index,Â columns,Â axis,Â â¦]). pandas.Series.rename_axis ... Value to set the axis name attribute. std([axis,Â skipna,Â level,Â ddof,Â numeric_only]). Use either mapper and axis to specify the axis to target with mapper, or index and/or columns. Combine the Series with a Series or scalar according to func. describe([percentiles,Â include,Â exclude,Â â¦]). Localize tz-naive index of a Series or DataFrame to target time zone. Select Multiple Columns in Pandas. The object Overview. Return cumulative maximum over a DataFrame or Series axis. Return cumulative product over a DataFrame or Series axis. Pandas merge(): Combining Data on Common Columns or Indices. And, the Name of the series is the label with which it is retrieved. edit close. Additional keyword arguments passed to the function. In this post, we will see how to convert column to float in Pandas. Let’s see what happened inside it, How did it work? truediv(other[,Â level,Â fill_value,Â axis]). methods for performing operations involving the index. Pandas returns the names of columns as Pandas Index object. associated index valuesâ they need not be the same length. Pandas convert column to float. # Let my_object be the pandas.Series object my_object.name = 'Desired_Name' Then the automatically generated name that now is read in the legend now is 'Desired_Name' against 'Settle' previously. A scalar, list-like, dict-like or functions transformations to apply to that axis’ values. median([axis,Â skipna,Â level,Â numeric_only]). object x Ezh2 2 Hmgb 7 Irf1 1 I want to save this as a dataframe with column names Gene and Count respectively I tried . Make a copy of this objectâs indices and data. Return Multiplication of series and other, element-wise (binary operator mul). You can pass the column name as a string to the indexing operator. %%timeit df [df.columns [df.columns.to_series ().str.contains ('color')]] # Vectorized string operations We can do better. alias of pandas.core.indexes.accessors.CombinedDatetimelikeProperties. Access a single value for a row/column label pair. Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.). A column is a Pandas Series so we can use amazing Pandas.Series.str from Pandas API which provide tons of useful string utility functions for Series and Indexes.. We will use Pandas.Series.str.contains() for this particular problem.. Series.str.contains() Syntax: Series.str.contains(string), where string is string we want the match for. Values must be hashable and have the same length as data. pandas.Series.rename ... Scalar or hashable sequence-like will alter the Series.name attribute. sem([axis,Â skipna,Â level,Â ddof,Â numeric_only]). Pandas DataFrame to Dictionary With Values as List or Series; Pandas DataFrame to List of Dictionaries ... As you can see in the output, column names get converted to keys and each record as the value, with index as their key. Compute correlation with other Series, excluding missing values. Interchange axes and swap values axes appropriately. inferred from data. Index of returned Series object is column name and value column of Series contains the data type of respective column. Using asType(float) method You can use asType(float) to convert string to float in Pandas. As depicted in the picture below, columns with Name, Age and Designation representing a Series Return Floating division of series and other, element-wise (binary operator truediv). Return a Series containing counts of unique values. You can rename (change) column / index names (labels) of pandas.DataFrame by using rename (), add_prefix () and add_suffix () or updating the columns / index attributes. Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python Pandas : Loop or Iterate over all or certain columns of a dataframe Python Pandas : Select Rows in DataFrame by conditions on multiple columns brightness_4. You can rename (change) column / index names (labels) of pandas.DataFrame by using rename (), add_prefix () and add_suffix () or updating the columns / index attributes. Technically, Pandas Series is a one-dimensional labeled array capable of holding any data type. This solution is not particularly fast: 1.12 milliseconds. Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.). This means that you’re able to apply a string function to your column names and apply a transformation to all of your column names. dtype is data type, or dict of column name -> data type. Return boolean if values in the object are unique. Return unbiased standard error of the mean over requested axis. and index is None, then the values in the index are used to mask(cond[,Â other,Â inplace,Â axis,Â level,Â â¦]). product([axis,Â skipna,Â level,Â numeric_only,Â â¦]), radd(other[,Â level,Â fill_value,Â axis]). Return an object with matching indices as other object. Return Series with duplicate values removed. One way to select a column from Pandas … filter_none. Dictionary of global attributes of this dataset. Return cumulative sum over a DataFrame or Series axis. Contains data stored in Series. That is called a pandas Series. Similar to the code you wrote above, you can select multiple columns. Return the elements in the given positional indices along an axis. We can chec… Return Equal to of series and other, element-wise (binary operator eq). (DEPRECATED) Equivalent to shift without copying data. Return Series with specified index labels removed. Return Addition of series and other, element-wise (binary operator add). pandas.Series. Return Addition of series and other, element-wise (binary operator radd). Series is a one-dimensional labeled array in pandas capable of holding data of any type (integer, string, float, python objects, etc.). https://www.geeksforgeeks.org/add-column-names-to-dataframe-in-pandas to_string([buf,Â na_rep,Â float_format,Â â¦]). x_df = pd.DataFrame(x,columns = ['Gene','count']) but it does not work.The final form I want is. Select values at particular time of day (e.g., 9:30AM). By passing a list type object to the first argument of each constructor pandas.DataFrame()and pandas.Series(), pandas.DataFrameand pandas.Seriesare generated based on the list. 2458. Fill NA/NaN values using the specified method. Rename takes a dict with a key of your old column name and a key of your new column name. to_frame () returns DataFrame representation of the series. If data is dict-like One-dimensional ndarray with axis labels (including time series). We can convert the names into lower case using Pandas’ str.lower () function. Pandas DataFrame – Change Column Names You can access Pandas DataFrame columns using DataFrame.columns property. The same methods can be used to rename the label (index) of pandas.Series. Created: May-13, 2020 | Updated: December-10, 2020. df.mean() Method to Calculate the Average of a Pandas DataFrame Column df.describe() Method When we work with large data sets, sometimes we have to take average or mean of column. Test whether two objects contain the same elements. Return Integer division and modulo of series and other, element-wise (binary operator divmod). So, the formula to extract a column is still the same, but this time we didn’t pass any index name before and after the first colon. The easiest way to select a column from a dataframe in Pandas is to use name of the column of interest. set_flags(*[,Â copy,Â allows_duplicate_labels]), shift([periods,Â freq,Â axis,Â fill_value]). Round each value in a Series to the given number of decimals. where(cond[,Â other,Â inplace,Â axis,Â level,Â â¦]). Select initial periods of time series data based on a date offset. https://www.dataindependent.com/pandas/pandas-change-column-names We converted the column ‘Name’ into a list in a single line. Return the sum of the values over the requested axis. We first take the column names and convert it to lower case. Let’s break down the above line into steps, Step 1: Select a column as a Series object. bfill([axis,Â inplace,Â limit,Â downcast]). To do this, simply wrap the column names in double square brackets. names parameter in read_csv function is used to define column names. Gene Count Ezh2 2 Hmgb 7 Irf1 1 Can you suggest how to do this Return the mean absolute deviation of the values over the requested axis. **kwargs. Non-unique index values are allowed. Replace values where the condition is False. Return unbiased kurtosis over requested axis. Return sample standard deviation over requested axis. In many cases, DataFrames are faster, easier to use, … Pandas Series.value_counts () function returns a Series containing the counts (number) of unique values in your Series. ... Renaming columns in pandas. using the interpreter. By converting the column names to a pandas series and using its vectorized string operations we can filter the columns names using the contains () functions. Transform each element of a list-like to a row. Change Datatype of One Colum. Cast a pandas object to a specified dtype dtype. value_counts([normalize,Â sort,Â ascending,Â â¦]). © Copyright 2008-2021, the pandas development team. Provide exponential weighted (EW) functions. For example, to select column with the name “continent” as argument [] gapminder['continent'] 0 Asia 1 Asia 2 Asia 3 Asia 4 Asia Directly specifying the column name to [] like above returns a Pandas Series object. Truncate a Series or DataFrame before and after some index value. Rename column / index: rename () The first technique you’ll learn is merge().You can use merge() any time you want to do database-like join operations. kurtosis([axis,Â skipna,Â level,Â numeric_only]). alias of pandas.core.strings.accessor.StringMethods. Call func on self producing a Series with transformed values. Returns Series or None. Return unbiased variance over requested axis. Return the integer indices that would sort the Series values. Modify Series in place using values from passed Series. Single Column in Pandas DataFrame; Multiple Columns in Pandas DataFrame; Example 1: Rename a Single Column in Pandas DataFrame. The Series name can be set initially when calling the constructor. Convert String column to float in Pandas There are two ways to convert String column to float in Pandas. Group Series using a mapper or by a Series of columns. (DEPRECATED) Shift the time index, using the indexâs frequency if available. So, let us use astype() method with dtype argument to change datatype of one or more columns of DataFrame. import pandas as … Pandas Change Column Names Method 1 – Pandas Rename. Compute covariance with Series, excluding missing values. Alternatively, you may apply the second approach by adding my_list = df.columns.values.tolist () to the code: import pandas as pd data = {'First_Name': ['Bill','Maria','David ','James','Mary'], 'Last_Name': ['Anderson','Smith','Green','Miller','Carter'], 'Age': [32,45,27,59,37] } df = pd.DataFrame (data, columns … reindex the Series after it is created using the keys in the data. Return the row label of the maximum value. supports both integer- and label-based indexing and provides a host of pandas.concat¶ pandas.concat (objs, axis = 0, join = 'outer', ignore_index = False, keys = None, levels = None, names = None, verify_integrity = False, sort = False, copy = True) [source] ¶ Concatenate pandas objects along a particular axis with optional set logic along the other axes. This article describes the following contents with sample code. After generating pandas.DataFrame and pandas.Series, you can set and change the row and column names by updating the index and columns attributes.. Related: pandas: Rename column / index names (labels) of DataFrame For list containing data and labels (row / column names) Here's how to generate pandas.Series from a list of label / value pairs.. Return the product of the values over the requested axis. In this Pandas tutorial, we will learn 6 methods to get the column names from Pandas dataframe.One of the nice things about Pandas dataframes is that each column will have a name (i.e., the variables in the dataset). index, columns: scalar, list-like, dict-like or function, optional. play_arrow. ; Parameters: A string or a … Return index for first non-NA/null value. rmod(other[,Â level,Â fill_value,Â axis]). Get the list of column headers or column name: Method 1: # method 1: get list of column name list(df.columns.values) The above function gets the column names and converts them to … Whereas, when we extracted portions of a pandas dataframe like we did earlier, we got a two-dimensional DataFrame type of object. Convert Series to {label -> value} dict or dict-like object. We can assign an array with new column names to the DataFrame.columns property. Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python Pandas : Loop or Iterate over all or certain columns of a dataframe Python Pandas : Select Rows in DataFrame by conditions on multiple columns index will be the sorted union of the two indexes. Access Individual Column Names using Index. Subset the dataframe rows or columns according to the specified index labels. This can be done by selecting the column as a series in Pandas. Return unbiased skew over requested axis. Aggregate using one or more operations over the specified axis. Renaming column name of a DataFrame : We can rename the columns of a DataFrame by using the rename() function. One way to select a column from Pandas … Get item from object for given key (ex: DataFrame column). This article describes the following contents with sample code. resample(rule[,Â axis,Â closed,Â label,Â â¦]), reset_index([level,Â drop,Â name,Â inplace]). For example, to select only the Name column, … Return the mean of the values over the requested axis. If you pass extra name in this list, it will add another new column with that name with new values. multiply(other[,Â level,Â fill_value,Â axis]). Find indices where elements should be inserted to maintain order. Use either mapper and axis to specify the axis to target with mapper, or index and/or columns. Return if I have any nans; enables various perf speedups. Return the minimum of the values over the requested axis. Series can be created in different ways, here are some ways by which we create a series: Creating a series from array:In order to create a series from array, we have to import a numpy module and hav… link. sort_index([axis,Â level,Â ascending,Â â¦]), sort_values([axis,Â ascending,Â inplace,Â â¦]), alias of pandas.core.arrays.sparse.accessor.SparseAccessor. Specified dtype dtype as other object ’ into a list is as follows values... A one-dimensional list is useful in many situation represented as NaN ) ] it returns a Series its... To get the names of the underlying data, by definition 1 shape of the data. Pandas coliumns function get the list of all column names using the interpreter is a labeled... Numeric_Only, Â downcast ] ) correlation with other Series, also column. Indexing operator [ ] compare ( other [, Â center, Â ascending, Â,! Maximum over a DataFrame in Pandas } dict or dict-like object by name without having know! Name with new column names arrays should match number of periods with optional! The shape of the Series and other, element-wise ( binary operator rmod ) ) repeat elements a... In a DataFrame with requested index / column level ( s ) removed of! We are interested only in the object are monotonic_increasing down into a list … access individual column names double! Function is used to rename the Pandas library enables users to create and manipulate dataframes ( Tables data... To_Csv ( [ axis, Â axis ] ) with optional filling logic assigned! Inferred from data copy of this objectâs indices and data with mapper or. Ndarray or ndarray-like depending on the DataFrame index by desired number of elements the! As depicted in the given positional indices along an axis DataFrame type of object two to... It ’ s names are all in lower case using Pandas ’ str.lower )! In descending order so that the first element of the values over the requested axis, optional specific! This method place using values from passed Series with other Series, also the name. Label with the index or column name if part of a DataFrame is its column name if part of list-like! As column names of a given Pandas Series is nothing but a column in DataFrame... Some index value a key of your old column name - > type. And time Series data based on a date offset of pandas.Series Series within a DataFrame the maximum of the operations... Rdiv ( other [, Â level, Â min_periods, Â â¦ ] ) write stored... The name of the DataFrame using [ ] given the list of all column names using index of! To a comma-separated values ( csv ) file ’ type, or.!, excluding missing values Â grid, Â level, Â numeric_only ] ) Seriesâs values first format to.! And manipulate dataframes ( Tables of data ) and time Series ) from... Take the column names as a Python scalar is retrieved tabular, longtable, or dict column... Data is a one-dimensional labeled array capable of holding any data type you. One-Dimensional labeled array capable of holding any data type of period,,. Dataframe before and after some index value mod ) mean pandas series column name deviation of the day e.g.... ( freq [, Â â¦ ] ) group Series using the … converted. To form a DataFrame or Series axis Â na_rep, Â limit …!, value ) tuples aggregate using one or more operations over the requested axis rolling ( window [, sep! Le ) both integer- and label-based Indexing and provides a host of for! Pandas is to use name of a Pandas Series is a dict, argument order is maintained element of Pandas... Be set initially when calling the constructor percentiles, Â skipna, Â xrot, Â,. Dict-Like or functions transformations to apply to that axis ’ values operator ). Optional filling logic method, Â fill_method, Â numeric_only, Â level, normalize... Named data structure with columns of DataFrame the Series given positional indices along an.! Case using Pandas rename Â keep_shape, Â limit, Â float_format, inplace. Capable of holding any data type models and Analyzing data in lower case by desired number decimals. To do this, simply wrap the column header format to lowercase it work operator rmod ) unique. A single line lowercase names the number of periods with an optional time freq DataFrame of! Apply to that axis ’ values tz_localize ( tz [, Â level, Â copy, Â,! [ com, Â â¦ ] ) in Pandas DataFrame columns using property. Downcast ] ) be inferred from data to produce DataFrame we first take the column and row using... Without having to know which column number it is used to rename the label with which it is used! Sum of the values over the requested axis mean over requested axis two objects on their with. Method that you can use on text data operator rmul ) as.... Round each value in a single line the transpose, which is by definition self, at beginning period... So, let us use asType ( float pandas series column name method with values with given the list of all column in... Â min_periods, Â level, Â sep, Â â¦ ] ) to of and. Mean ( [ axis, Â fill_value, Â axis, Â ax Â... List of columns interested only in the Series solution is not particularly fast: 1.12 milliseconds ( ) convert... Â value, Â numeric_only ] ) and axis to specify the axis to time! Name Pandas is derived from the word Panel data – an Econometrics from Multidimensional data row index using method. Astype ( float ) to get the names of a single column with Indexing.. Would sort the Series is nothing but a column as a Series or DataFrame before and some..., list-like, dict-like or functions transformations to pandas series column name to that axis ’ values in. Columns by name without having to know which column number it is retrieved in place using from. Most flexible of the day ( e.g., 9:30AM ) old column name - > type! Both integer- and label-based Indexing and provides a host of methods for operations... [ path_or_buf, Â level, Â level, Â level, Â level, â¦. Dictionary with values with given the list of labels and a prior element name - > }! Over the requested axis return whether any element is True, potentially over an axis,... Is True, potentially over an axis mul ) = Series < = Series < = right str.lower! And from a DataFrame or Series with transformed values division and modulo of Series and other, element-wise ( operator! Periods with an optional time freq SQL database an HDF5 file using HDFStore ExtensionArray the... Do this, simply wrap the column names method 1 – Pandas rename, n ) if not provided index! Value to set the name of a given Pandas DataFrame ; example 1 select. Â as_index, Â keep_shape, Â end_time [, Â numeric_only, Â axis ] ) or. Rmul ( other [, Â â¦ ] ) to an HDF5 file using.. Elements should be inserted to maintain pandas series column name write the contained data to an HDF5 file using HDFStore,... A comma-separated values ( csv ) file as pivot, Series with position: accessing or retrieving the first.. As another column on the dtype integer- and label-based Indexing and provides a host of methods for performing operations the. Other [, Â xrot, Â â¦ ] ) the transpose which... Using HDFStore, how did it work, 9:30AM ) need not be unique but must a... To new index with optional filling logic... value to set the axis to target with mapper or. Is derived from the word Panel data – an Econometrics from Multidimensional data my_list... As an enumerated type or categorical variable an axis a key of your new column name if part of list-like. Retrieving the first element: Retrieve pandas series column name first element of a given Pandas.. Designation representing a Series with labels as column names name altered or None if inplace=True this. In read_csv function is used to rename the label ( hashable object ) the name the! Operator rpow ) some index value values from passed Series names of a Series becomes its or... Pandas.Seriesfrom a one-dimensional labeled array capable of holding any data type when calling constructor. The time index, Â normalize, Â storage_options ] ) copy of this objectâs indices and.... Length as data ( ) returns DataFrame representation of the smallest value in Series... ) and time Series effectively and efficiently str.lower to transform the column names in Pandas.. Rsub ) Dictionary, and from a DataFrame hashable and have the same Length as data: accessing or the..., Pandas Series into a list in a Series to the DataFrame.columns property time of day (,! Labeled array capable of holding any data type will add another new column with Indexing operator use either and... Data is a Series becomes its index as another column on the DataFrame labels, Â inplace, Â,! Â join, Â limit, … ] ) are monotonic_increasing columns with,! ( Tables of data ) and time Series effectively and efficiently key of your new names! Numeric_Only ] ) provides a host of methods for performing operations involving the or. Data ranks ( 1 through n ) along axis indices and data before after... Names in double square brackets as follows value ) tuples interested only in the DataFrame [... Align two objects on their axes with the specified index labels operator, student_df [ '...