This function wraps plotly. To plot a pie chart in Matplotlib, we can call the pie() function of the PyPlot or Axes instance. pandas. Apache Spark is a framework that allows for quick data processing on large amounts of data. data = [44, 45, 40, 41, 39] Jul 30, 2019 · If the spark dataframe 'df' (as asked in question) is of type 'pyspark. Let’s first import our weapons: import seaborn as sb. The code to display it works, what doesnt work is size adjustments. colm : string. And created a temp table using registerTempTable function. Exploring some basic functions of PySpark really sparked (no pun intended) my interest. Jun 21, 2023 · As mentioned before, line chart is suitable for visualizing value counts of a categorical feature. show() Change Style of the Pie Chart DataFrame. A pie chart is more suitable for small data sets. Will default to RangeIndex if no indexing information part of input data and no index provided. Not every configuration option is available for every chart type. In Spark, a simple visualization in the console is the show function. Return an ndarray when subplots=True (matplotlib-only). This data must be an array of numbers as in the example below: # library import matplotlib. get_dummies (data [, prefix, prefix_sep, …]) Convert categorical variable into dummy/indicator variables, also known as one hot encoding. rcParams["figure. Spark⚡. Start with a template – we’ve got hundreds of pie chart examples to make your own. Any and all help is much appreciated! Jun 16, 2022 · I'm relatively new to python. show() For drawing a table, I use the below code: %%chart table --fields MachineName --data df_result2. This function wraps matplotlib. create two tables on database(I am using SQL-SERVER) having name of TEST_DWH : table etl_metadata for keeping master data of ETL (source and destination information) A pie plot is a proportional representation of the numerical data in a column. So you need to convert your columns into a vector column first using the VectorAssembler and then apply the correlation: Oct 10, 2021 · Pie. read_clipboard() df school sex age address famsize Pstatus Medu Fedu Mjob Fjob reason guardian legal_drinker 0 GP F 18 U GT3 A 4 4 AT_HOME TEACHER course mother True 1 GP F 17 U GT3 T 1 1 AT_HOME OTHER course father False 2 GP F 15 U LE3 T 1 1 AT_HOME OTHER other For drawing the pie-chart, I use the below code: import matplotlib. The axes Matplotlib object has a baked in pie method, as does the higher level pyplot library. plot() or pyspark. config("spark. Check log to display the charts on a log scale. line ¶. to_delta (path [, mode, …]) Write the DataFrame out as a Delta Lake table. In math, the pie chart calculator helps you visualize the data distribution (refer to frequency distribution calculator) in the form of a pie chart. jar"). So we'll go over how to code them up in Matplotlib, which happens to be pretty straighforward. This function is useful to plot lines using Series’s values as coordinates. Example 1: Let’s take an example of 5 classes with some students in it and plot a pie chart on the basic number of students in each class. ORC. import pandas as pd. The entire circle represents 100% of the pie, which is divided based on the data percentage compared to the total. explode = (0. ai. The only instruction/license information about this dataset is to cite the authors if it is used in a publication. Once you’ve opened the pie chart, you’ll see a variety of statistics about the game, including: FPS (frames per second) Memory usage. You can rotate the pie-chart by setting a strartangle. Oct 19, 2020 · ax1. plot("pie chart for US sales market shares, show the top 5 brands and the sum of others") To get the brand with the highest growth: Dec 14, 2020 · I have a pandas dataframe that looks like this with age brackets: new_id 18-24 25-34 35-44 45-54 55-64 65-74 75-84 85-89 89+ 001722E206AD9FB2F1F92C5FD8596DB0 0 Data visualization in notebooks is a key component that allows you to gain insight into your data. functions. Some of the basic commands are similar to pandas so familiarity will be Mar 27, 2024 · Step 1. For further tuning, we call fig. Plot a pie chart of animals and label the slices. 4. show() Explode. You can hover your cursor over the charts for more detailed information, such as the boundaries of a histogram column and the number of rows in it, or the quantile value. May 17, 2024 · 1. zeros(31) b = np. Parameters: yint or label, optional. We need to pass the data, labels, and colors to this function. Oct 23, 2021 · How to draw Pie Chart. Identified and visualized the top 10 most expensive properties sold in 2020 using Pandas and PySpark. ml. Heatmap. If not specified, all numerical columns are used. Did not work. values) This pie chart uses automatic color coding rather than the selected color purple. If observed is Vector, conduct Pearson’s chi-squared goodness of fit test of the observed data against May 16, 2023 · Finally, we can show the pie chart using the following code: plt. RDD. PySpark is a Python library for Apache Spark, a unified analytics engine for big data processing. frame. dataframe. Then simply click to change the data and the labels. import pandas as pd df = pd. plt. Oct 4, 2019 · Open your workspace, select a notebook, and make sure the kernel is set to PySpark. csv") aa2 = sqlc. pie¶ plot. May 17, 2020 · A Better “show” Experience in Jupyter Notebook. value_counts (). Change the colors under Change colors. As a data scientist, you are probably familiar with PySpark, a powerful tool for processing and analyzing big data. Data preprocessing is a necessary step in machine learning as the quality of the data A pie chart is a type of visualisation in which the entire circle is divided into pieces of pie according to the percentages of each data point. I am able to do this in a count plot but unable to do it in a pie chart - COUNT PLOT: sns. We'll use the former in our examples but any of these could be coded up as Jun 21, 2018 · I am struggling with colours on Pandas pie plot. Import necessary libraries and load Apple’s historical data for the past year into a PySpark DataFrame. Quick Examples of Plot Pandas DataFrame in Bar Chart. bar () Following is the syntax of the plot. I'm trying to plot line graph of my data while streaming. 2: sort the column ascending by values. Creating a Table using SQL and running required queries to generate a pie chart accordingly. getOrCreate() db_name = 'dvdrental' sql = """. 0 is not using cached DataFrame when May 18, 2022 · 本教程将讨论使用 Matplotlib 的 pie 属性和 Seaborn 的颜色托盘创建饼图。 在 Seaborn 中创建饼图. I'm using the data frame you shared. The pie’s entire worth is always 100 percent. Packed-bubble chart; Patheffect Demo; Print Stdout; Rasterization for vector graphics; Set and get properties; SVG Filter Line; SVG filter pie; Table Demo; TickedStroke patheffect; transforms. DataFrame. For each key k in self or other, return a resulting RDD that contains a tuple with the list of values for that key in self as well as other. Run the following command from the notebook cell: print ("Welcome to my EMR Studio workspace!") You get the following output: You can examine the current notebook session configuration by running the following command: %%info. Plot DataFrame/Series as lines. Series. sql import SQLContext. EventLogs. Let’s see it in action : import matplotlib. Databricks can create detailed charts with a single click and also supports popular third-party May 2, 2023 · PySpark tolist () Function Made Easy: A Comprehensive Guide. Advertisements. Create a pie chart: We can create a pie chart using the pieplot() function of Seaborn. A pie plot is a proportional representation of the numerical data in a column. Here is the code to create a pie chart in Seaborn: import seaborn as sns Aug 12, 2023 · This produces the following: Notice how by default the column name label A appears as the y-axis label. When you use Apache Spark in Fabric, there are various built-in options to help you visualize And now we're all set! When we start up an ipython notebook, we'll have the Spark Context available in our IPython notebooks. Index to use for the resulting frame. It also provides a PySpark shell for interactively analyzing your data. For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It helps make big and small data easier for humans to understand. By combining the power of Apache Spark and Matplotlib, users can create a wide range of visualizations, from simple line graphs to complex scatter plots. DataFrame. subplots() ax. df. It rotates the start of the pie chart by specified value in degrees counterclockwise from the x-axis. In PySpark, DataFrames are a key data structure used for data processing. Jun 3, 2023 · I have a pie chart with a left aligned title: import matplotlib. source: The English SDK for Apache Spark is an extremely simple yet powerful tool. For formatting the data labels, select the Data Labels feature. This tutorial explains how to create and modify pie charts in R using the ggplot2 data visualization library. Data. 1: sort the column descending by value counts and keep nulls at top. Example: name1 name2 name3 or 15 25 30 55. df1. These charts share a similar set of configuration options. Sep 6, 2022 · I am looking to plot this in a pie chart showing 60% of loan status is fully paid while 40% is defaulted. pie (** kwds) ¶ Generate a pie plot. If your data doesn’t sum up to one and you don’t want to normalize your data you can set normalize = False, so a partial pie chart will be created. enter image description here. Feb 25, 2024 · Spark is a unified analytics engine for large-scale data processing. PySpark combines Python’s learnability and ease of use with the power of Apache Spark to enable processing and analysis Column to be used for categories. Additional keyword arguments are documented in pyspark. g. import seaborn. Since OpenAI opened GPT model through Rest API for developers, a lot of those possibilites started to become reality, like Bing integrating GPT - an extension of Microsoft's search tool, or Auto-GPT - "An experimental open-source attempt to make GPT read_delta (path [, version, timestamp, index_col]) Read a Delta Lake table on some file system and return a DataFrame. We can use the following arguments to customize the appearance of the pie chart: autopct: Display percentages in pie chart Pie charts can be useful when utilized in the right context with the right data. 1207. pie() where column_name is one of the columns in the spark dataframe 'df'. Compute the correlation (matrix) for the input RDD (s) using the specified method. 3. Even though it might not be an advanced level use of PySpark, but I believe it is important to keep expose myself to new environment and new challenges. I want to plot a pie chart for department, i. al, 1988). show() This will display the following pie chart: [Image of pie chart] As you can see, the pie chart displays the percentage of each slice next to the slice. plot (kind=' pie ', y=' points ') Example 2: Create Custom Pie Chart. figure(figsize=()) method, no change. , how many percent of the employees coming from Sales & Marketing, Operations, Technology, etc I'm not sure how to count the total number of employees from respective department first then only fit the data into the pie chart. Press the inventory key to open your inventory. Dec 20, 2018 · Stack Overflow Public questions & answers; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Talent Build your employer brand Dec 10, 2017 · 1. Below is the list of configuration options available for chart types. It also makes it easier to detect patterns, trends, and outliers in groups of data. bar (). indexIndex or array-like. WITH first_orders AS (. Apr 24, 2024 · Step 1: Data Collection. sql import SparkSession spark = SparkSession. I would like to create a seperate pie chart for both "Gender" and "Country" to show how many times each option shows up in the data but I'm quite confused about how to do so. By calculating the pie graph, you can view the percentage of each kind of data in your dataset. With its seamless integration with Python, PySpark allows users to leverage the powerful data processing capabilities of Spark directly from Python scripts. However, it requires you to provide a column of type Vector . Ive tried the plt. jars", # add the PostgresSQL jdbc driver jar. plot(x) plt. Visit the installation page to see how you can download the package and How to make a pie chart in Python using Seaborn. If no column reference is passed and subplots=True a pie plot is drawn for each numerical column independently. Parameters y int or label, optional. collect () Return a list that contains all the elements in this RDD. sum (). Either the location or the label of the columns to be used. as Gaurav mentioned, use display() as follow: col_df = heavy_pivot. The following code shows how to create a basic pie chart for a dataset using ggplot2: Jun 1, 2019 · Pandas to PySpark Conversion Cheatsheet. Jul 28, 2018 · This code gives me each rows value of Running and Rest as a pie chart. At the top of the chart column, you can choose to display a histogram (Standard) or quantiles. Customizing a pie chart created with px. Before creating visualizations we need to create a table of the dataset using SQL, in order to learn more about SQL operations using PySpark go through the link given below. May 6, 2022 · Each of the SQL keywords have an equivalent in PySpark using: dot notation e. from pyspark import SparkContext. It enables you to perform real-time, large-scale data processing in a distributed environment using Python. set_visible(False) This produces the desired result without the column name y-axis label: Published by Arthur Yanagisawa. One axis of the plot shows the specific categories being compared, and the Mar 13, 2018 · Through this post, I have implemented a simple sentiment analysis model with PySpark. Dict can contain Series, arrays, constants, or list-like objects. 4. If you are in a hurry below are some quick Python examples of how to plot the pandas DataFrame in a bar chart by using DataFrame. update_traces to set other parameters of the chart (you can also use fig. Input the data labels and values with a space separator. May 17, 2024 · options data setup Nov 16, 2020 · Creating a Pie Chart. plot() To view the market share distribution across automotive companies: auto_df. Chunk updates. A horizontal bar plot is a plot that presents quantitative data with rectangular bars with lengths proportional to the values that they represent. You could also try this. Feb 26, 2016 · Learn how to visualize your data on the Databricks platform. Unfortunately I don't think that there's a clean plot() or hist() function in the PySpark Dataframes API, but I'm hoping that things will eventually go in that direction. In the example below, we first create a pie chart with px,pie, using some of its options such as hover_data (which columns should appear in the hover) or labels (renaming column names). pyplot as plt labels = 'Frogs', 'Hogs', 'Dogs', 'Logs' sizes = [15, 30, 45, 10] fig, ax = plt. Keyword arguments to pass on to pyspark. pie() for the specified column. This post was originally a Jupyter Notebook I created when I started learning May 15, 2017 · If anyone wants to calculate percentage by dividing two columns then the code is below as the code is derived from above logic only, you can put any numbers of columns as i have taken salary columns only so that i will get 100% : from pyspark . figsize"] = (20,5) # create random data values=[12,11,3,30] # Create a pieplot plt Jun 3, 2020 · PySpark is able to make stuff happen inside a JVM process thanks to a Python library called Py4J (as in: “Python for Java”). merge (obj, right [, how, on, left_on, …]) Merge DataFrame objects with a database-style join. column_name. It takes English instructions and compile them into PySpark objects like DataFrames. order : int, default=1. Create Pie chart in Python with legends: Line 1: Imports the pyplot function of matplotlib library in the name of plt. 3: sort the column descending by values. createDataFrame(aa1) Dec 19, 2021 · It is divided into segments and sectors, with each segment and sector representing a piece of the whole pie chart (percentage). scatter. mode ( [axis, numeric_only, dropna]) Get the mode (s) of each element along the selected axis. Apr 12, 2021 · Plot a Pie Chart in Matplotlib. pyspark. Delta Lake. For the time being, you could compute the histogram in Spark, and plot the computed histogram as a bar chart. pie(sizes, explode=explode, labels=labels) plt. Data Generator. Label or position of the column to plot. This is one time set up! So now we're ready to run things normally! We just have to start a specific pyspark profile. In my case I would like to do it using the creation of the plot with pandas. 4: do 2 and 3 (combine top n and bottom n after sorting the column Seaborn is a Python data visualization library based on matplotlib. It’s ridiculously easy to use. Since streamed data type DStream i cannot use it, i only managed to print it. # Import necessary libraries. Rotate the Pie-chart. pip install matplotlib. Line 7: inputs all above values to pie () function of pyplot. Customizing the pie chart** We can customize the pie chart in a number of ways. 饼图在包含不同颜色切片的圆形图中表示数据。饼图中每个切片的大小取决于数值数据的比例。 饼图用于研究数值数据的比例。它显示了数据占整体的百分比。 Feb 28, 2022 · Syntax to install seaborn and matplotlib libraries: pip install seaborn. You can plot a pie chart in matplotlib using the pyplot’s pie() function. sql import Row. import numpy as np. Spark DataFrame, pandas-on-Spark DataFrame or pandas-on-Spark Series. Oct 31, 2018 · Your question already has a good answer. concat (objs [, axis, join, ignore_index pyspark. To see which configuration options are available for your desired chart type, see Configuration plot. Syntax of Pandas plot. The data is stored in a pandas dataframe. streaming import StreamingContext. it is not accessible. value = [12, 22, 16, 38, 12] # Pie chart. Go to the Chart Design tab in the Ribbon. Jul 29, 2023 · I am trying to get a pie-chart displayed in a databricks notebook. df_result2 is a table with the list of MachineName's in it. show() This generates a PySpark Tutorial: PySpark is a powerful open-source framework built on Apache Spark, designed to simplify and accelerate large-scale data processing and analytics tasks. Flat File / CSV. dfm = df. If not provided, subplots=True argument must be passed (matplotlib-only). All of the data adds up to 360 degrees. select(((col('Salary')) / (col('Salary')))*100) Explored the median sale ratio for each residential type, creating both a DataFrame and a pie chart for visualization. A bar plot shows comparisons among discrete categories. But how to get pie chart for say 1st three rows where Model column value is same? python; pandas; The matplotlib library allows to easily build a pie chart thanks to its pie() function. Pretty much any SQL select structure is easy to duplicate with some googling for the SQL keywords. pie(vc, x = vc. The result of my query is like following: Total A B C D E F 11005 0 1485 3667 2665 2579 609 The Aug 4, 2022 · I would like to change the label colors for each part of the pie chart in accordance with the color of the section. fig = px. We want to highlight the hours spent on Python. Computes column-wise summary statistics for the input RDD [Vector]. It expects at the very least some data input. Scatter. pie() plt. fig, ax = plt. Box. Check expand to enlarge the charts. pie(, radius=1800, frame=True). 2 votes. A sample code will help to isolate my issue in the present contest. 1, 0, 0, 0) plt. plot. stat. Feb 8, 2024 · This is where PySpark comes in - an open-source, distributed computing framework built on top of Apache Spark. Generate a pie plot. Its goal is to make Spark more user-friendly and accessible, allowing you to focus your efforts on extracting insights from your data. pie. e. SQL shows common table expression. sc = SparkContext("local[2]","test") Mar 10, 2022 · pyspark; pie-chart; pyspark-pandas; gracenz. How to Make a Basic Pie Chart. sql import Jul 24, 2023 · PySpark data visualization can be achieved using Matplotlib, a popular Python library for creating static, animated, and interactive visualizations. Choose the design format under Styles. pct_change ( [periods]) Percentage change between the current and a prior element. sql. offset_copy; Zorder Demo; 3D plotting. Now, we want to make a configuration on the chart. show() Partial pie. Oct 4, 2016 · I'm trying to build a pie-chart with data provided from an SQL Table. import numpy as np import pandas as pd a = np. from pyspark. express. Keyword arguments to pass on to pandas-on-Spark. Points could be for instance natural 2D coordinates Allows plotting of one column versus another. Example: Jul 1, 2024 · FAQ. If you do not have seaborn installed, you can do it by: !pip install seaborn. We will be writing our code in Jupyter Notebook in this tutorial. Nov 11, 2016 · I am new for PySpark. May 25, 2023 · 3. 129; asked Jun 25, 2022 at 6:26. Combo. Return an custom object when backend!=plotly . Make a horizontal bar plot. ipython notebook --profile=pyspark. The only mandatory argument is the data we'd like to plot, such as a feature from a dataset: import matplotlib. How to Use the Pie Chart Maker? Firstly, enter the chart title, data labels, and data values. activate() To take an overview of `auto_df`: auto_df. ax = df['A']. barh. We can test for the Spark Context's existence with print sc. Example: "project_1" will be shown as "project 1" in a chart. DataFrame', then try the following: # Plot spark dataframe df. This is a follow on post from my last post about starting with PySpark and Databricks. In order to do this, we use the explode parameter. Parameters. pie(value, labels = labels) # plt. functions import *. Create a customized Pie Chart for free. Customize the chart: We can customize the chart by adding a title, changing the font size, and adding a legend. collectAsMap () Return the key-value pairs in this RDD to the master as a dictionary. sql, or pyspark. I find questions doing it with matplotlib (see Different colors for each label in my pie chart). Name of the column to count values in. zeros(69) + 1 A Sep 1, 2020 · There are only 2 options for gender and 3 for country. plot(kind='pie', title='Pie Plot') ax. This guide will show you how to build and run PySpark binary classification models from start to finish. read_csv("D:\mck1. just after displaying, use the plot button under the output to choose histogram. countplot(x="LoanStatus",data=df) EXPECTED: A pie chart showing how many values are there with both the loan status along with the percentage. pie(hours, labels=labels) plt. Line 3 : Inputs the arrays to the variables named values which denotes happiness index in our case. This page gives an overview of all public pandas API on Spark. com ! Create a Pie Chart, Free . plot. Go to the Format tab in the ribbon. I pulled a csv file using pandas. You can get the look you want by adjusting the colors, fonts, background and more. Wedge object; therefore in addition to pyspark. Generic Spark I/O. Feb 24, 2024 · PySpark is the Python API for Apache Spark. method(), pyspark. pyplot. It offers a high-level API for Python programming language, enabling seamless integration with existing Python ecosystems. Histogram. The code below is to create a pie chart for the value counts of the same categorical feature of Stay. To add labels, pass a list of labels to the labels parameter. yaxis. 1 answer. appName("Postgres Connection") \. Jul 13, 2018 · pyspark AttributeError: 'DataFrame' object has no attribute 'cast' Hot Network Questions Ideas for cooling a small office space with direct sunlight A pie plot is a proportional representation of the numerical data in a column. Not sure whether we can place both pie chart 0. Python3. Enter any data, customize the chart's colors, fonts and other details, then download it or easily share it with a shortened url | Meta-Chart. We can also calculate the probability (see probability calculator) in the pie chart to identify Jul 3, 2024 · Steps: Select the Pie of Pie Chart. Tip: use df. The coordinates of each point are defined by two dataframe columns and filled circles are used to represent each point. Let us first create a simple Pie chart. For a more comprehensive introduction and Feb 25, 2017 · spark_df : pyspark. Plot a vertical bar plot using plotly. PySpark revolutionizes traditional pyspark. value_counts(sort=False). Columns to be plotted from the DataFrame. import matplotlib. Locate the small icon in the bottom-right corner of your inventory screen. line(x=None, y=None, **kwargs) ¶. pyplot as plt # Pie chart, where the slices will be ordered and plotted counter-clockwise: sizes = [15, 30, 45, 10] fig1, ax1 = plt. pie(sizes, labels=labels) Each slice of the pie chart is a patches. Jun 29, 2023 · To active partial functions for PySpark DataFrame: spark_ai. Jan 12, 2024 · plt. "/home/jovyan/work/extlibs/postgresql-9. Tried the ax. update Oct 12, 2020 · A pie chart is a type of chart that is shaped like a circle and uses slices to represent proportions of a whole. Parquet. For this first, all required modules are imported and a dataframe is Sep 24, 2021 · We can use the following syntax to create a pie chart that displays the portion of total points scored by each team: df. Feb 15, 2022 · Introduction. Here is a link to a table I have made of commonly required DataFrame operations. merge_asof (left, right [, on, left_on, …]) Perform an asof merge. builder. The following is the syntax: Here, x is an array or sequence of counts (the wedge sizes in the pie) and labels is the sequence of string labels to be used for each portion (wedge). select('beer_freq') display(col_df) like that, you don't need to change it to pandas dataframe and the final plot looks the same. Py4J allows Python programmes to: open up a port to listen on Jul 8, 2023 · Chat GPT has brought a sea of possibilities with his huge capacity to understand human language. Bubble. Plot 2D data on 3D plot; Demo of 3D bar charts; Create 2D bar graphs in different planes; 3D box surface plot; Plot . It includes the syntax for both Pandas and PySpark side by side. The show function displays a few records (default is 20 rows) from DataFrame into a tabular form. sqlc = SQLContext(sc) aa1 = pd. The dataset used here is the Heart Disease dataset from the UCI Machine Learning Repository (Janosi et. Create a scatter plot with varying marker point size and color. xint or str, optional. pyplot as plt x = [15, 25, 25, 30, 5] fig, ax = plt. columnsIndex or array-like. plot(). PySpark 3. We kept the auto-generated color. Allows plotting of one column versus another. index, y = vc. pie(hours, explode=explode, labels=labels) plt. pyplot as plt. scatter(x, y, **kwds) ¶. groupby ([' team ']). **5. . Performs the Kolmogorov-Smirnov (KS) test for data sampled from a continuous distribution. ¶. 2. To not display the y-axis label: filter_none. It provides a high-level interface for drawing attractive and informative statistical graphics. The default behavior of the show function is truncate enabled, which won’t display a value if it’s longer than 20 characters. Simple Pie chart . Columns to use for the horizontal axis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, pandas API on Spark for pandas workloads Sep 7, 2018 · There is a correlation function in the ml subpackage pyspark. Click on the icon to open the pie chart. Any help will be greatly appreciated! pyspark. selectExpr() to run SQL commands with SQL strings. With Canva’s pie chart maker, you can make a pie chart in less than a minute. The underscore "_" between two words will be counted as space in data labels. labels is an optional parameter which is None by default. We have chosen the 11th style. Input/Output. show() Highlight a Category in the Pie Chart. Spark Metastore Table. This kind of plot is useful to see complex correlations between two variables. 450 views. Dec 23, 2021 · 1. median ( [axis, skipna, …]) Return the median of the values for the requested axis. Investigated the correlation between assessed value and sale amount using Pandas and PySpark. kz ej mw ni xi hc zi kg mw me