Pandas Split Dataframe By Column Index

When you look at the smaller dataframe, it might still carry the row index of the original dataframe. Pandas melt to go from wide to long 129 Split (reshape) CSV strings in columns into multiple rows, having one element per row 130 Chapter 35: Save pandas dataframe to a csv file 132 Parameters 132 Examples 133 Create random DataFrame and write to. Instead, it returns a new DataFrame by appending the original two. Previously, if a data frame had a column index of object type and the index contained numeric values, the output column index could be corrupt. It can be of different data types!. to_dict()メソッドを使うとpandas. I am recording these here to save myself time. Related course: Data Analysis in Python with Pandas. The index of df is always given by df. Given that the two columns-you want to perform division with, contains int or float type of values, you can do this using square brackets form, for example: [code. merge() function. rename() method on a DataFrame to change the names of the index labels or column names. Each Series then represents a named column of the DataFrame, and instead of each column having its own index, the DataFrame provides a single index and the data in all columns is aligned to the master index of the DataFrame. columns gives you list of your columns. Let us see an example of using Pandas to manipulate column names and a column. min() Python's Pandas Library provides a member function in Dataframe to find the minimum value along the axis i. Instead we may want to split each individual value onto its own row, keeping the same mapping to the other key columns. For Dataframe usage examples not related to GroupBy, see Pandas Dataframe by Example. Arithmetic operations align on both row and column labels. csv 133 Save Pandas DataFrame from list to dicts to csv with no index and with data encoding 134. pandas: create new column from sum of others. Python | Creating a Pandas dataframe column based on a given condition While operating on data, there could be instances where we would like to add a column based on some condition. row 0 00000 UNITED STATES 1 01000 ALABAMA 2 01001 Autauga County, AL 3 01003 Baldwin County, AL 4 01005 Barbour County, AL. First, take the log base 2 of your dataframe, apply is fine but you can pass a DataFrame to numpy functions. Reading files into pandas DataFrame; Split (reshape) CSV strings in columns into multiple rows, having one element per row Multiple columns can be specified. split (self, pat=None, n=-1, expand=False) [source] ¶ Split strings around given separator/delimiter. The ix method works elegantly for this purpose. In the subsequent chapters, we will learn how to apply these string functions on the DataFrame. Plot two dataframe columns as a scatter plot. Note that the first example returns a series, and the second returns a DataFrame. Dataframes in some ways act very similar to Python dictionaries in that you easily add new columns. In the original dataframe, each row is a tag. 0 y = 123 [/code]The same ide. 700 2 1116 0. Let us see an example of using Pandas to manipulate column names and a column. If you don't want create a new data frame after sorting and just want to do the sort in place, you can use the argument "inplace = True". 今天小编就为大家分享一篇pandas. The pandas index types. loc operation. A DataFrame is a 2D numpy array under the hood: [code]>>> import numpy as np >>> import pandas as pd >>> df = pd. Again, SA answers suggest setting the DataFrame's float format or other workarounds. Importing a CSV File. The Multi-index of a pandas DataFrame. Here, the column means the column heading, title, label, etc, and the series is a pandas. DataFrame(). Especially, when we are dealing with the text data then we may have requirements to select the rows matching a substring in all columns or select the rows based on the condition derived by concatenating two column values and many other scenarios where you have to slice,split,search substring. Pandas Dataframe. I had to split the list in the last column and use its values as rows. com/channel/UC2_-PivrHmBdspaR0klVk9g?sub_c. First, take the log base 2 of your dataframe, apply is fine but you can pass a DataFrame to numpy functions. Output: For more examples refer to How to select multiple columns in a pandas dataframe Column Addition: In Order to add a column in Pandas DataFrame, we can declare a new list as a column and add to a existing Dataframe. The output of Step 1 without stack looks like this:. In this article, we will show how to retrieve subsets from a pandas DataFrame object in Python. DataFrame class with a few added. Let us see some examples of dropping or removing columns from a real world data set. groupby(function). The Series name is used as the name for the column index. I am recording these here to save myself time. This Index object is an interesting structure in itself, and it can be thought of either as an immutable array or as an ordered set (technically a multi-set, as Index objects may contain. It can be of different data types!. pivot(index='date', columns='country') in the previous. How to fill missing value based on other columns in Pandas dataframe? Split columns by finding "£" and then converting to minvalue, maxvalue Plotting two. In this case, ser1 would have 150000 columns. to_csv Column label for index column(s) if desired. columns gives you list of your columns. DataFrame unifies two or more Series into a single data structure. 667 7 1250 0. DataFrame(). This lesson of the Python Tutorial for Data Analysis covers creating a pandas DataFrame and selecting rows and columns within that DataFrame. I have a select group of assets screened from my pipeline and have a pandas dataframe with the index of dates and associated equities for that date, and each equity has columns of open, close, and volume data. Can be thought of as a dict-like container for Series objects. DataFrameと連結(結合)し、元の列をdrop()メソッドで削除すればOK。. How to Sort Pandas Dataframe based on a column in place? By default sorting pandas data frame using sort_values() or sort_index() creates a new data frame. There’s also a leading column that contains row index values. Re arrange or Re order the row of dataframe in pandas python; Extract Substring from column in pandas python; Append a character or string to the column in pandas python; Populate current date in pandas python; Populate current datetime in pandas python; String Split in column of dataframe in pandas python; Generate row number in pandas python. 22 Apr 2017. Pandas & Seaborn - A guide to handle & visualize data in Python. Especially, when we are dealing with the text data then we may have requirements to select the rows matching a substring in all columns or select the rows based on the condition derived by concatenating two column values and many other scenarios where you have to slice,split,search substring. The Series name is used as the name for the column index. It has not actually computed anything yet except for some intermediate data about the group key df['key1']. DataFrame(df['b']. Each row is a measurement of some instance while column is a vector which contains data for some specific attribute/variable. Q&A for Work. reset_index¶ DataFrame. In this chapter, we will discuss the string operations with our basic Series/Index. The given data set consists of three columns. Use drop() to delete rows and columns from pandas. The two DataFrames are not required to have the same set of columns. Sorting is the most common algorithms used in every domain. Appending a DataFrame to another one is quite simple:. csv 133 Save Pandas DataFrame from list to dicts to csv with no index and with data encoding 134. If you're brand new to Pandas, here's a few translations and key terms. When multiple statistics are calculated on columns, the resulting dataframe will have a multi-index set on the column axis. DataFrame¶ A DataFrame is a tablular data structure comprised of rows and columns, akin to a spreadsheet, database table, or R's data. Ahh, yeah, I've been in that boat. Show first n rows. Python | Pandas Split strings into two List/Columns using str. We will learn. DataFrameの特定の列を複数の列に分割して更新する場合は、上述のstr. We set the column 'name' as. Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). The output of Step 1 without stack looks like this:. The append method does not change either of the original DataFrames. row 0 00000 UNITED STATES 1 01000 ALABAMA 2 01001 Autauga County, AL 3 01003 Baldwin County, AL 4 01005 Barbour County, AL. tolist(), index=df. how to rename all the column of the dataframe at once; how to rename the specific column of our choice by column name. The easiest way I have found is to use [code ]pandas. Merging is a big topic, so in this part we will focus on merging dataframes using common columns as Join Key and joining using Inner Join, Right Join, Left Join and Outer Join. I would like to covert this pandas Series into a pandas DataFrame such that each element of this pandas Series "row" is a DataFrame column. In these cases, the returned object is a vector, not a data frame. I am recording these here to save myself time. reindex (self, labels=None, index=None, columns=None, axis=None, method=None, copy=True, level=None, fill_value=nan, limit=None, tolerance=None) [source] ¶ Conform DataFrame to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. Has both a row and column index for Fast lookups; Data alignment and joins; Is quite similar to the R data frame. You can also think of a DataFrame as a group of Series objects that share an index (the column names). It is also similar to identity columns in a database table. That is, each element of that Series array would be an individual column. To keep it simple, let us ignore the missing data for Sudan. index) Which will retain the speed of using the second method while ensuring the order and indexing is retained on the result. Notice that some of the columns (all the X columns) contain integer values, and others (all the Y columns) are floating-point numbers. Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). This short article, explains the methodology, the output and various options and twiks. DataFrame − column labels. Sort columns. when the data is in. Let us assume that we are creating a data frame with student’s data. randint(0, 100, size=(15, 4. Pandas Split DataFrame using row index. Group DataFrame columns, compute a set of metrics and return a named Series. Ahh, yeah, I've been in that boat. One typically drops columns, if the columns are not needed for further analysis. split() Pandas provide a method to split string around a passed separator/delimiter. Each window will be a fixed size. Pandas DataFrame Exercises, Practice and Solution: Write a Pandas program to insert a new column in existing DataFrame. Python | Pandas Split strings into two List/Columns using str. In this article we will discuss how to merge different Dataframes into a single Dataframe using Pandas Dataframe. I have 3 pandas data frames named df1, df2 and df3. Split dataframe into multiple dataframes based on column value. df <- data. It has not actually computed anything yet except for some intermediate data about the group key df['key1']. Pandas tutorial shows how to do basic data analysis in Python with Pandas library. Pandas DataFrame are rectangular grids which are used to store data. merge the dataframe on ID dfMerged = dfA. The append method does not change either of the original DataFrames. The Pandas Index Object¶ We have seen here that both the Series and DataFrame objects contain an explicit index that lets you reference and modify data. If you want to use your own CSS you just need to edit the. y for index, row in df. So I have a dataframe filed with sports statistics. index) Which will retain the speed of using the second method while ensuring the order and indexing is retained on the result. Our data frame contains simple tabular data: In code the same table is: import pandas as pd. You can vote up the examples you like or vote down the ones you don't like. There does not exist any library function to achieve this task directly, so we are going to see the ways in which we can achieve this goal. how to rename the specific column of our choice by column index. I have a data frame with one column and I'd like to split it into two columns, with one column header as 'fips' and the other 'row' My dataframe df looks like this:. split() Pandas provide a method to split string around a passed separator/delimiter. DataFrame¶ A DataFrame is a tablular data structure comprised of rows and columns, akin to a spreadsheet, database table, or R's data. inplace = True is used in case you want to modify the existing DataFrame. I am using Random Forest to find the columns with the highest level of correlation with the target SalePrice column. The function that you will use is the Pandas Dataframe() function: it requires you to pass the data that you want to put in, the indices and the columns. In this article, we will show how to retrieve subsets from a pandas DataFrame object in Python. A pandas DataFrame can be created using the following constructor − pandas. 759 11 1325 0. dataframe-summary-col td:last-child selectors. DataFrameと連結(結合)し、元の列をdrop()メソッドで削除すればOK。. Ahh, yeah, I've been in that boat. This is multi index, a valuable trick in pandas dataframe which allows us to have a few levels of index hierarchy in our dataframe. The Python and NumPy indexing operators [] and attribute operator. Often you may want to create a new variable either from column names of a pandas data frame or from one of the columns of the data frame. groupby(col_name) Grouping with list of column names creates DataFrame with MultiIndex. View all examples in this post on this notebook: pandas-groupby-post. Given a Data Frame, we may not be interested in the entire dataset but only in specific rows. Pandas Tutorial on Selecting Rows from a DataFrame covers ways to extract data from a DataFrame: python array slice syntax, ix, loc, iloc, at and iat. If you want to drop or fill by different values, use dataframe. Unfortunately, the last one is a list of ingredients. pandas: create new column from sum of others. This short article, explains the methodology, the output and various options and twiks. To produce stacked area plot, each column must be either all positive or all negative values. train_test_split on Pandas Dataframe can lead to SetttingWithCopyWarning #8723 MaxPowerWasTaken opened this issue Apr 8, 2017 · 23 comments Comments. 615 5 1242 0. We will throw away some but also strip the rest of them for information to be used for new column names. In order to be able to work with the data in Python, we'll need to read the csv file into a. iloc() and. Pseudorandomly split dataframe into different pieces row-wise: DataFrame. Often you start with a big dataframe in Pandas and after manipulating and filtering the data frame you will end up with much smaller data frame. The Series name is used as the name for the column index. A protip by phobson about pandas. columns from Pandas and assign new names directly. You can also think of a DataFrame as a group of Series objects that share an index (the column names). Return a reshaped DataFrame or Series having a multi-level index with one or more new inner-most levels compared to the current DataFrame. On the whole, the code for operations of pandas’ df is more concise than R’s df. Apologies in advance if I missed it. A subset is a specific row and column or specific rows and columns of a pandas dataframe object that you want returned. Welcome to Part 2 of the Pandas tutorial series find Part 1 here. Equivalent to str. 25 offers DataFrame. You can vote up the examples you like or vote down the ones you don't like. Now that you've checked out out data, it's time for the fun part. A Pandas Index extends the functionality of NumPy arrays to allow for more versatile slicing and labeling. NumPy / SciPy / Pandas Cheat Sheet Select column. In a sense, Pivot is just a convenient wrapper function that replaces the need to create a hierarchical index using set_index and reshaping with stack. Pandas tutorial shows how to do basic data analysis in Python with Pandas library. Re-index a dataframe to interpolate missing…. Return a reshaped DataFrame or Series having a multi-level index with one or more new inner-most levels compared to the current DataFrame. First, take the log base 2 of your dataframe, apply is fine but you can pass a DataFrame to numpy functions. DataFarmeの行ラベルindex、列ラベルcolumns、値valuesをどのように辞書のkey, valueに割り当てるかの形式を指定できる。. There is a lot of nice functionality built into the method, but when the number of dataframe rows/columns gets relatively large, to_string starts to tank. Let us assume that we are creating a data frame with student's data. The given data set consists of three columns. 667 7 1250 0. I wanted to calculate how often an ingredient is used in every cuisine and how many cuisines use the ingredient. python pandas. However, you can set one of your columns to be the index of your DataFrame, which means that its values will be used as row labels. Instead we may want to split each individual value onto its own row, keeping the same mapping to the other key columns. DataFrame class to store additional value(s). I was wondering if there is a simple way to do this using pandas or. This can be difficult to work with, and I typically have to rename columns after a groupby operation. In Step 1, we are asking Pandas to split the series into multiple values and the combine all of them into single column using the stack method. In this case, Pandas will create a hierarchical column index for the new table. This is especially useful in conjunction with reshaping operations such as stacking in which the column index name will be used as the name of the inserted column:. tolist(), index=df. Changing the Index of a DataFrame. Selecting pandas dataFrame rows based on conditions. To change the columns of gapminder dataframe, we can assign the list of new column names to gapminder. In the subsequent chapters, we will learn how to apply these string functions on the DataFrame. Change DataFrame index, new indecies set to NaN. in many situations we want to split the data set into. Other data structures, like DataFrame and Panel, follow the dict-like convention of iterating over the keys of the objects. It consists of rows and columns. reindex¶ DataFrame. Examples on how to plot data directly from a Pandas dataframe, using matplotlib and pyplot. You can rearrange a DataFrame object by declaring a list of columns and using it as a key. The append method does not change either of the original DataFrames. drop — pandas 0. This is especially useful in conjunction with reshaping operations such as stacking in which the column index name will be used as the name of the inserted column:. index) Which will retain the speed of using the second method while ensuring the order and indexing is retained on the result. This short article, explains the methodology, the output and various options and twiks. This structure, a row-and-column structure with numeric indexes, means that you can work with data by the row number and the column number. dataframe-summary-col td:last-child selectors. DataFrame, pandas. One Dask DataFrame operation triggers many operations on the constituent Pandas DataFrames. index, columns を元にした選択 ( ix, loc, iloc) ix プロパティを使うと DataFrame で index, columns 両方を指定してデータ選択を行うことができる ( Series の挙動は __getitem__ と同じ)。. The pandas index types. It can be of different data types!. y for index, row in df. Split dataframe into multiple dataframes based on column value. You can vote up the examples you like or vote down the ones you don't like. to_dict()メソッドを使うとpandas. You'll first use a groupby method to split the data into groups, where each group is the set of movies released in a given year. The following are code examples for showing how to use pandas. BUG pandas-dev#13288 - Fixed a column index of the output data frame. I wanted to calculate how often an ingredient is used in every cuisine and how many cuisines use the ingredient. 1 documentation Here, the following contents will be described. Given that the two columns-you want to perform division with, contains int or float type of values, you can do this using square brackets form, for example: [code. Often you start with a big dataframe in Pandas and after manipulating and filtering the data frame you will end up with much smaller data frame. I have a data frame with one column and I'd like to split it into two columns, with one column header as 'fips' and the other 'row' My dataframe df looks like this:. This can be slightly confusing because this says is that df. DataFrame(df. com/public/yb4y/uta. Remember that the data that is contained within the data frame doesn't have to be homogenous. Importing a CSV File. 0, 123 [/code]This is the same as doing [code]x = 5. Plot two dataframe columns as a scatter plot. In Pandas, sorting of DataFrames are important and everyone should know, how to do it. You can check this by checking df. To do this, I have been utilizing pandas. These Pandas DataFrames may live on disk for larger-than-memory computing on a single machine, or on many different machines in a cluster. We all know about aggregate and apply and their usage in pandas dataframe but here we are trying to do a Split – Apply – Combine. So that the first 72 values of a row are stored in Dataframe1, and the next 24 values of a row in Dataframe2. The following are code examples for showing how to use pandas. Convert categorical column to one hot encoded column Sample Notebook; Split column. One of the biggest advantages of having the data as a Pandas Dataframe is that Pandas allows us to slice and dice the data in multiple ways. df1: match_up result 0 1985_1116_1234 1 1 1985_1120_1345 1 2 1985_1207_1250 1 3 1985_1229_1425 1 4 1985_1242_1325 1 df2: team_df2 win_df2 0 1207 0. split() Split strings on delimiter: rsplit() Split strings on delimiter working from the end of the string: get() Index into each element (retrieve i-th element) join() Join strings in each element of the Series with passed separator: get_dummies() Split strings on the delimiter returning DataFrame of dummy variables: contains(). Pandas provides a set of string functions which make it easy to operate on string data. A Pandas Index extends the functionality of NumPy arrays to allow for more versatile slicing and labeling. What You Will Learn. index) Which will retain the speed of using the second method while ensuring the order and indexing is retained on the result. In this article we will discuss different ways to create an empty DataFrame and then fill data in it later by either adding rows or columns. com/channel/UC2_-PivrHmBdspaR0klVk9g?sub_c. Finally subtract along the index axis for each column of the log2 dataframe, subtract the matching mean. Setup a private space for you and your coworkers to ask questions and share information. In this article, we will show how to retrieve subsets from a pandas DataFrame object in Python. Let’s see how can we get the index of maximum value in DataFrame column. loc using the names of the columns. I have a pandas DataFrame with 2 columns x and y. DataFrame (data=None, index=None, columns=None, dtype=None, copy=False) [source] ¶ Two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Splits the string in the Series/Index from the beginning, at the specified delimiter string. A DataFrame is a way to represent and work with tabular data. We set the column 'name' as. On the whole, the code for operations of pandas’ df is more concise than R’s df. Sorting is the most common algorithms used in every domain. Unfortunately, the last one is a list of ingredients. First, take the log base 2 of your dataframe, apply is fine but you can pass a DataFrame to numpy functions. repartition ([divisions, …]) Repartition dataframe along new divisions. DataFrame class. drop() method of the data frame. Split-Apply-Combine¶ Many statistical summaries are in the form of split along some property, then apply a funciton to each subgroup and finally combine the results into some object. Pandas Split DataFrame using row index. pandas有强大的excel数据处理和导入处理功能,本文简单介绍pandas在csv和excel等格式方面处理的应用及绘制图表等功能。. Select columns with. , DataFrame, Series) or a scalar; the combine operation will be tailored to the type of output returned. Each indexed column/row is identified by a unique sequence of values defining the "path" from the topmost index to the bottom index. Pandas : Sort a DataFrame based on column names or… How to Find & Drop duplicate columns in a DataFrame… Python Pandas : How to create DataFrame from dictionary ? Pandas : Find duplicate rows in a Dataframe based on… Python Pandas : Replace or change Column & Row index… Python Pandas : How to add new columns in a… Select Rows. Let us assume that we are creating a data frame with student's data. The Series name is used as the name for the column index. Arithmetic operations align on both row and column labels. 0 y = 123 [/code]The same ide. In these cases, the returned object is a vector, not a data frame. I would like to covert this pandas Series into a pandas DataFrame such that each element of this pandas Series "row" is a DataFrame column. The output of Step 1 without stack looks like this:. Re arrange or Re order the row of dataframe in pandas python; Extract Substring from column in pandas python; Append a character or string to the column in pandas python; Populate current date in pandas python; Populate current datetime in pandas python; String Split in column of dataframe in pandas python; Generate row number in pandas python. DataFrame (data=None, index=None, columns=None, dtype=None, copy=False) [source] ¶ Two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). You'll first use a groupby method to split the data into groups, where each group is the set of movies released in a given year. Pandas DataFrame. If the DataFrame has a MultiIndex, this method can remove one or more levels. So that the first 72 values of a row are stored in Dataframe1, and the next 24 values of a row in Dataframe2. There’s also a leading column that contains row index values. The Pandas cheat sheet will guide you through the basics of the Pandas library, going from the data structures to I/O, selection, dropping indices or columns, sorting and ranking, retrieving basic information of the data structures you're working with to applying functions and data alignment. Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. [code]import pandas as pd fruit = pd. If you want to use your own CSS you just need to edit the. Remember that the data that is contained within the data frame doesn't have to be homogenous. Given that the two columns-you want to perform division with, contains int or float type of values, you can do this using square brackets form, for example: [code. Because the returned data type isn’t always consistent with matrix indexing, it’s generally safer to use list-style indexing, or the drop=FALSE op. In this article we will discuss how to find minimum values in rows & columns of a Dataframe and also their index position. This makes interactive work intuitive, as there’s little new to learn if you already know how to deal with Python dictionaries and NumPy arrays. Instead, it returns a new DataFrame by appending the original two. I am recording these here to save myself time. 621 4 1229 0. This example should illustrate that:. In this article we will discuss how to merge different Dataframes into a single Dataframe using Pandas Dataframe. merge the dataframe on ID dfMerged = dfA. In the context of Pandas, we can reshape a DataFrame by using one column’s values as the index, and another column’s values as new columns, this is called pivoting. Learn more about Teams. Convert categorical column to one hot encoded column Sample Notebook; Split column. in many situations we want to split the data set into. Group a dataframe in pandas; Sort the List in python; sort a dataframe in pandas; sort a dataframe in pandas by index; Cross tab in pandas; Rank the dataframe in pandas; Drop the duplicate row in pandas; Find the duplicate rows in pandas; Drop the row in pandas with conditions; Drop or delete column in pandas; Get maximum value of column in pandas. Change DataFrame index, new indecies set to NaN. Pandas & Seaborn - A guide to handle & visualize data in Python. The above code drops the column named 'Age', the argument axis=1 denotes column, so the resultant dataframe will be. Suppose you wanted to index only using columns int_col and string_col, you would use the advanced indexing ix method as shown below. Our data frame contains simple tabular data: In code the same table is: import pandas as pd. If you don't want create a new data frame after sorting and just want to do the sort in place, you can use the argument "inplace = True". DataFrame(data=None, index=None, columns=None, dtype=None, copy=False)¶ Two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Every element in a column of a DataFrame has the same data type, but different columns can have different types — this makes the DataFrame ideal for storing tabular data - strings in one column, numeric values in another, and so on. Each window will be a fixed size. Sorting is the process of arranging the items systematically. A DataFrame is a way to represent and work with tabular data. You can think of a hierarchical index as a set of trees of indices. In this article we will discuss how to merge different Dataframes into a single Dataframe using Pandas Dataframe. Each window will be a fixed size. Pandas DataFrame are rectangular grids which are used to store data. In this article we will discuss how to find minimum values in rows & columns of a Dataframe and also their index position. unstack(level=0) would have done the same thing as df. In this blog we will see how to use Transform and filter on a groupby object. Remember that the data that is contained within the data frame doesn’t have to be homogenous. Is there a way in pandas to reorder the dataframe columns? (I created the dataframe form a dict of lists, so it doesn't automatically have the order I want. The index of df is always given by df. Hello, I'm in the research environment and having trouble understanding how to graph a multi-index dataframe. Series = Single column of data. Efficiently split Pandas Dataframe cells containing lists into multiple rows, duplicating the other column's values. When multiple statistics are calculated on columns, the resulting dataframe will have a multi-index set on the column axis. Sort columns. Just like Python, Pandas has great string manipulation abilities that lets you manipulate strings easily. In lesson 01, we read a CSV into a python Pandas DataFrame.