It turns out that the library may not satisfy all your needs when you have many special rendering requirements, but it is an excellent library when you just want to build a typical chart for your dataset. # Draw a graph with pandas and keep what's returned ax = df. To create barplot with bars ordered in descending order, we first sort the dataframe such that it is ordered in descending order. To produce stacked area plot, each column must be either all positive or all negative values. Hence, the plot method can be called directly from pandas Series and DataFrame objects. xlabel : This parameter is the label text. Or simply clone this repo. When we pull the GDP and life expectancy out of the dataframes The first step to plot a histogram is creating bins using a range of values. Name to use for the xlabel on x-axis. Let’s start by importing the There is a lot you can do to customize your plots more both with Pandas and matplotlib. Here, we show a few examples, like Price, to date, to H-L, for example. Matplotlib is simple and easy to use a library that is used to create quality graphs. Title to use for the plot. Rotation for ticks (xticks for vertical, yticks for horizontal In this example, we used the bins number explicitly by assigning 20 to it. colormap : str or matplotlib colormap The link you provided is a good resource, but shows the whole thing being done in matplotlib.pyplot and uses .subplots() to get to the axes. 07, Nov 20. Hence, the plot method can be called directly At this point you should know the basics of making plots with Matplotlib module. Pandas’ plotting capabilities are great for quick exploratory data visualisation. sharex=True will alter all x axis labels for all axis in a figure. Options to pass to matplotlib plotting method. In this post, I will be using the Boston house prices dataset which is available as part of the scikit-learn library. The below example illustrates plotting pandas Series object: Specify axis labels with pandas. To plot the number of records per unit of time, you must a) convert the date column to datetime using to_datetime() b) call .plot(kind='hist'): import pandas as pd import matplotlib.pyplot as plt # source dataframe using an arbitrary date format (m/d/y) df = pd . Default will show no ylabel, or the y-column name for planar plots. It has a million and one methods, two of which are set_xlabel and set_ylabel. Pandas Histogram¶ Not only can Pandas handle your data, it can also help with visualizations. Creating the actual plot. You may set the ``xlabel`` and ``ylabel`` arguments to give the plot custom labels for x and y axis. I also co-host talks about food science and culture in a semi-monthly lecture series called Masters of Social Gastronomy. Parameters: xlabel: str The label text. Even if you’re at the beginning of your pandas journey, you’ll soon be creating basic plots that will yield valuable insights into your data. In this article, I have demonstrated how to use the pandas_bokeh library to plot your Pandas dataframe end-to-end with extremely simple code but beautiful presentation with interactive features. irisデータセットは機械学習でよく使われるアヤメの品種データ。 1. y-column name for planar plots. Use plt.title() to give the plot a title of 'Temperature in Austin'. Pandas has tight integration with matplotlib. This causes the x label and xtick labels to be invisible. ... plt.xlabel('Country') plt.ylabel('Active Cases') ... Time Series Plot or Line plot with Pandas. savefig ("no2_concentrations.png") # Save the Figure/Axes using the existing matplotlib method. Sort column names to determine plot ordering. be a dict, a pandas.DataFame or a structured numpy array. We have a podcast that doesn't get updated nearly often enough, too. See matplotlib documentation online for more on this subject, If kind = ‘bar’ or ‘barh’, you can specify relative alignments pandas.DataFrame.plot.bar DataFrame.plot.bar (x = None, y = None, ** kwargs) [source] Vertical bar plot. Name to use for the ylabel on y-axis. If string, load colormap with that Use plt.xlabel() to give the plot an x-axis label of 'Hours since midnight August 1, 2010'. One box-plot will be done per value of columns in by. If a Series or DataFrame is passed, use passed data to draw a Import Data We'll be using the Ames Housing dataset and visualizing correlations between features from it. Just to mix it up a bit, this time we’re going to use plt.subplots() to create The x-axis values represent the rank of each institution, and the "P25th", "Median", and "P75th" values are plotted on the y-axis. When using a secondary_y axis, automatically mark the column Only used if data is a Since we are using the random array, the above image or screenshot might not be the same for you.. Plotting multiple sets of data There are various ways to plot multiple sets of data. Use log scaling or symlog scaling on x axis. A bar plot shows comparisons among discrete categories. The object for which the method is called. matplotlib.pyplot.xlabel (xlabel, fontdict=None, labelpad=None, **kwargs) [source] Set the label for the x-axis. >>> plot ('xlabel', 'ylabel', data = obj) All indexable objects are supported. This can also be downloaded from various other sources across the internet including Kaggle. Pandas plotting methods provide an easy way to plot pandas objects. In [6]: air_quality [ "station_paris" ] . By default pandas.DataFrame.plot() using the subplots option doesn't seem to make it easy to plot a ylabel per subplot. There are many other things we can compare, and 3D Matplotlib is not limited to scatter plots. (center). By default, matplotlib is used. pandas的大部分绘图方法都有一个可选的ax参数，它可以是一个matplotlib的subplot对象。这是你能够在网络布局中更为灵活地处理subplot的位置。DataFrame的plot方法会在一个subplot中为各列绘制一条线，并自动创建图例 name from matplotlib. This function accepts a string, which assigned to the X-axis name. Make sure to assign the axes-level object while creating the plot. Plotting data from a file Plotting data from a file is actually a two-step process. Default will show no ylabel, or the The pandas library use the standard convention as Python matplotlib for plotting directly from its data structures. two of which are set_xlabel and set_ylabel. These objects are created ahead of time and later the plots are drawn on it. ax object of class matplotlib.axes.Axes, optional. Colormap to select colors from. Change matplotlib line style in mid-graph. Pandas also provides plotting functionality but all of the plots are static plots. Alternatively, to It has a million and one methods, plotting.backend. I want to plot only the columns of the data table with the data from Paris. Column in the DataFrame to pandas.DataFrame.groupby(). Sign up for my newsletter and I will definitely disappoint you. area (ax = axs) # Use pandas to put the area plot on the prepared Figure/Axes axs. plots). Python’s popular data analysis library, pandas, provides several different options for visualizing your data with .plot(). columns to plot on secondary y-axis. Bar Plot Ascending Order with Matplotlib How To Make Bar Plot in Descending Order with Matplotlib? Pandas plot datetime Plot datetime.date pandas, you sure you got datetime? For the x axis - (pyplot.axes ().get_xaxis ().....) df.plot() ax1 = plt.axes() x_axis = ax1.axes.get_xaxis() x_axis.set_visible(False) plt.show() plt.close() Similarly to control an axis label, get the label and turn it off. This plot is taken on 500 data samples created using the random library and are arranged in numpy array format because seaborn only works well with seaborn and pandas DataFrames. If True, plot colorbar (only relevant for ‘scatter’ and ‘hexbin’ Name to use for the ylabel on y-axis. xlabel: Assign your own name to Bar chart X-axis. Interpreting the file and loading the data. I modified some tests within the pandas.tests.test_graphics module where series tests did not match dataframe plot tests. Home > Lede > Data Studio, Lede 2016 > Labeling your axes in pandas and matplotlib, This page is based on a Jupyter/IPython Notebook: download the original .ipynb. Sometimes, as part of a quick exploratory data analysis, you may want to make a single plot containing two variables with different scales. Well, no. In case subplots=True, share x axis and set some x axis labels The Axes.set_xlabel() function in axes module of matplotlib library is used to set the label for the x-axis.. Syntax: Axes.set_xlabel(self, xlabel, fontdict=None, labelpad=None, **kwargs) Parameters: This method accepts the following parameters. Notes See matplotlib documentation online for more on this subject If kind = ‘bar’ or ‘barh’, you can specify relative alignments for bar plot layout by position keyword. First, we used Numpy random randn function to generate random numbers of size 1000 * 2. Pandas-Bokeh also provides native support as a Pandas Plotting backend for Pandas >= 0.25.When Pandas-Bokeh is installed, switchting the default Pandas plotting backend to Bokeh can be done via:. 这篇文章主要介绍了python 设置xlabel,ylabel 坐标轴字体大小，字体类型，文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值，需要的朋友们下面 plots). Basic Seaborn Scatter Plot How To Change X & Y Axis Labels to a Seaborn Plot . will be the object returned by the backend. Now we will expand on our basic plotting skills to learn how to create more advanced plots. We can change the x and y-axis labels using matplotlib.pyplot object. The Iris Dataset — scikit-learn 0.19.0 documentation 2. https://g… option plotting.backend. In this tutorial, we'll take a look at how to plot a scatter plot in Matplotlib. Whether to plot on the secondary y-axis if a list/tuple, which sns.scatterplot(x="height", y="weight", data=df) plt.xlabel("Height") plt.ylabel("Weight") In this example, we have new x and y-axis labels using plt.xlabel and plt.ylabel functions. Default is 0.5 plot. To download the data, click "Export" in the top right, and download the plain CSV. Changed in version 1.2.0: Now applicable to planar plots (scatter, hexbin). Pandas Scatter Plot¶. “ title ” to add a plot title. In this tutorial, we show that not only can we plot 2-dimensional graphs with Matplotlib and Pandas, but we can also plot three dimensional graphs with Matplot3d! at the top of the figure. Iris flower data set - Wikipedia 2. From 0 (left/bottom-end) to 1 (right/top-end). In this part, we will show how to visualize data using Pandas/Matplotlib and create plots such as the one below. The xlabel() function in pyplot module of matplotlib library is used to set the label for the x-axis... Syntax: matplotlib.pyplot.xlabel(xlabel, fontdict=None, labelpad=None, **kwargs) Parameters: This method accept the following parameters that are described below: xlabel: This parameter is the label text.And contains the string value. We can run boston.DESCRto view explanations for what each feature is. Create the plot with the DataFrame method df.plot().Specify a color of 'red'. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. # Import the pandas library with the usual "pd" shortcut import pandas as pd # Create a Pandas series from a list of values ("[]") and plot it: pd.Series([65, 61, 25, 22, 27]).plot(kind="bar") Let’s see how we can use the xlim and ylim parameters to set the limit of x and y axis, in this line chart we want to set x limit from 0 to 20 and y limit from 0 to 100. Pandas Plot set x and y range or xlims & ylims Let’s see how we can use the xlim and ylim parameters to set the limit of x and y axis, in this line chart we want to set x limit from 0 to 20 and y limit from 0 to 100. they just look like lists to the matplotlib plotter. Let us load the packages needed to make pyplot.plotfile tried to do both at once. This could e.g. Introduction Matplotlib is one of the most widely used data visualization libraries in Python. We can change the x-axis to date and make a time-series plot. subplots (figsize = (12, 4)) # Create an empty matplotlib Figure and Axes air_quality. Pandas 主要用於資料輸入輸出及資料分析操作，而 Matplotlib 主要是用來資料視覺化，呈現圖表使用，兩者可以單獨也可以搭配使用。 ... plot 函式會取 column 值代表 y 軸的值，index 索引代表 x 軸 axes = data.plot(kind='bar') Step 4. Here, I’ve used the plot_kwargs parameter to set the default parameters but explicitly set the ones for the individual plot. Next, we used DataFrame function to convert that to a DataFrame with column names A and B. data.plot(x = ‘A’, y = ‘B’, kind = ‘hexbin’, gridsize = 20) creates a hexabin or hexadecimal bin plot using those random values. We will be using the San Francisco Tree Dataset. From simple to complex visualizations, it's the go-to library for most. import matplotlib.pyplot as plt import pandas as pd df = pd.read_csv ('worldHappiness2019.csv') fig, ax = plt.subplots (figsize= (10, 6)) ax.scatter (x = df [ 'GDP per capita' ], y = df [ 'Generosity' ]) plt.xlabel ("GDP per Capita") plt.ylabel ("Generosity Score") plt.show () In [8]: df.plot(x="Rank", y=["P25th", "Median", "P75th"]) Out [8]:

. .. versionchanged:: 0.25.0, Use log scaling or symlog scaling on both x and y axes. # Draw a graph with pandas and keep what's returned, # Set the x scale because otherwise it goes into weird negative numbers. i just tried this and it worked fine: df = date count 7 2012-06-11 16:51:32 1.0 3 2012-09-28 08:05:14 12.0 19 time_series.plot(kind='kde') plt.show() I get a plot where the x-axis is from -50 to 150 as if it is parsing the datetime.date objects as integers somehow. We need to use a DataFrame as the data source for the plot, rather than a Pandas Series. For instance, ‘matplotlib’. Much of Matplotlib's popularity comes from its customization options - you can tweak just about any element from its hierarchy of objects. will be transposed to meet matplotlib’s default layout. fontsize : int, default None. I run a fake school in Brooklyn and a data journalism program at Columbia University's Journalism School. Also, 5 tests have errors on master, and thus they continue to fail on my branch. If a list is passed and subplots is It isn’t really. x-column name for planar plots. With Pandas plot (), labelling of the axis is achieved using the Matplotlib syntax on the “plt” object imported from pyplot. The Axes.set_xlabel() function in axes module of matplotlib library is used to set the label for the x-axis. From 0 (left/bottom-end) to 1 (right/top-end). A histogram is a representation of the distribution of data. set_ylabel ("NO$_2$ concentration") # Do any matplotlib customization you like fig. When you plot, you get back an ax element. The x- and y-axis labels are specified using the xlabel and ylabel parameters, rather than using ax.set_xlabel() . pandas.DataFrame.plot, Rotation for ticks (xticks for vertical, yticks for horizontal plots). In this tutorial, we will learn how to make line plot or time series plot using Pandas in Python. Default is 0.5 (center) If kind = ‘scatter’ and the argument c is the name of a dataframe column, the values of that column are used to color each point. Uses the backend specified by the .. versionchanged:: 0.25.0. Default is 0.5 The pandas also provide a plot method which is equivalent to the one provided by Python matplotlib. If True, draw a table using the data in the DataFrame and the data labels with “(right)” in the legend. I am trying to plot a pandas dataframe having a subplot per column in the dataframe. To create this chart, place the ages inside a Python list, turn the list into a Pandas Series or DataFrame, and then plot the result using the Series.plot command. Introduction Matplotlib is one of the most widely used data visualization libraries in Python. We can also add color to our graph and provide shade to the graph to make it Often it becomes quite time consuming when you … Line Plot with Multiple Variables in Pandas. I'm currently using python 2.7, pandas 0.16.2.dev, and ipython version 3.1.0 In brief, it seems that there are cases that the sharex option of pandas.DataFrame.plot(kind='hexbin') defaults to True instead of False. (rows, columns) for the layout of subplots. When input data contains NaN, it will be automatically filled … In this article, we will discuss how to annotate the bar plots created in python using matplotlib library.. .plot () returns a line graph containing data from every row in the DataFrame. Pandas is quite common nowadays and the majority of developer working with tabular data uses it for some purpose. One of the options is to make a single plot with two different y-axis, such that the y-axis on the left is for one variable and the … labelpad : This parameter is the spacing in points from the axes bounding box including ticks and tick … The pandas also provide a plot method which is equivalent to the one provided by Python matplotlib. New in version 1.1.0. table. Font size for xticks and yticks. Python offers a wide range of libraries for plotting graphs and Matplotlib is one of them. (center). With a DataFrame, pandas creates by default one line plot for each of the columns with numeric data. ‘bar’,’barh’,’pie’,’scatter’,’kde’ etc. It often gets tiresome for the user to read the values from the graph when the graph is scaled down or is overly populated. If a string is passed, print the string Default uses index name as xlabel, or the That’s it. UCI Machine Learning Repository: Iris Data Set 150件のデータがSetosa, Versicolor, Virginicaの3品種に分類されており、それぞれ、Sepal Length（がく片の長さ）, Sepal Width（がく片の幅）, Petal Length（花びらの長さ）, Petal Width（花びらの幅）の4つの特徴量を持っている。 様々なライブラリにテストデータとして入っている。 1. You can also make changes when you save the plots to … 25, Nov 20. pd.set_option('plotting.backend', 'pandas_bokeh') More details about the new Pandas … import matplotlib.pyplot as plt import pandas as pd df = pd.DataFrame({"value" : [0.1, 0.3, 0.2]}, index=list("ABC")) ax = df.plot(y='value', label='july') ax.set_xlabel("pandas "+pd.__version__, fontsize=12) plt.show() In this tutorial, we'll take a look at how to change the marker size in a Matplotlib scatter plot. If the backend is not the default matplotlib one, the return value fontsize float or str. Allows plotting of one column versus another. In the below code I am importing the dataset and creating a data frame so that it can be used for data analysis with pandas. pandas.DataFrame.plot.bar¶ DataFrame.plot.bar (x = None, y = None, ** kwargs) [source] ¶ Vertical bar plot. Specify relative alignments for bar plot layout. From 0 (left/bottom-end) to 1 (right/top-end). Thankfully, there’s a way to do this entirely using pandas. a figure first. The matplotlib bar plot has xlabel, ylabel, and title functions, which are useful to provide names to X-axis, Y-axis, and Bar chart name. Pythonモジュールのpandasにはplot関数があり、これを使えばpandasで読み込んだデータフレームを簡単に可視化することができます。特によく使うのは、kindやsubplotsですが、実に34個の引数があります。使いこなして、簡単にいろんなグラフを書きたいですね。 df.plot(rot=45) plt.xlabel("Date",size=16) plt.ylabel("Temp",size=16) plt.title("San Francisco Weather", size=24) Pandas plot() function has made a line plot plot with both min and max temperature nicely in different colors. Thus, data['TEMP'].plot() will not work with Pandas-Bokeh. The Pandas hexbin plot is to generate or plot a hexagonal binning plot. To sort the Pandas dataframe, we need to use ascending=False argument with Pandas sort_values() function. However, in the above Python example, we haven’t used the bins argument so that the hist function will automatically create and used default bins. In this tutorial, we show that not only can we plot 2-dimensional graphs with Matplotlib and Pandas, but we can also plot three dimensional graphs with Matplot3d! to invisible; defaults to True if ax is None otherwise False if Pandas plot xticks. Often though, you’d like to add axis labels, which involves understanding the intricacies of Matplotlib syntax. To be consistent with matplotlib.pyplot.pie () you must use labels and colors. By default, pandas will pick up index name as xlabel, while leaving ylabel label, optional. You can plot data directly from your DataFrame using the plot () method: Scatter plot of two columns import matplotlib.pyplot as plt import pandas as pd # a scatter plot comparing num_children and num_pets df.plot(kind='scatter',x='num_children',y='num_pets',color='red') plt.show() Changed in version 1.2.0: Now applicable to planar plots (scatter, hexbin). When you plot, you get back an ax element. © Copyright 2008-2020, the pandas development team. We can set the size of the text with size attribute. Time Series plot is a line plot with date on y-axis. We make use of the set_title(), set_xlabel(), and set_ylabel() functions to change axis labels and set the title for a plot. In order to use it comfortably you will need to know several key parameters: kind — Type of plot that you require. Annotation means adding notes to a diagram stating what values do it represents. Tick label font size in points or as a string (e.g., large). Most pandas plots use the label and color arguments (note the lack of “s” on those). import matplotlib.pyplot as plt import pandas as pd df = pd.read_csv('AmesHousing.csv') fig, ax = plt.subplots(figsize=(10, 6)) ax.scatter(x = df['Gr Liv Area'], y = df['SalePrice']) plt.xlabel("Living Area Above Ground") plt.ylabel("House Price") plt.show() Here, we've created a plot, using the PyPlot instance, and set the figure size. Not only can Pandas handle your data, it can also help with visualizations. Default uses index name as xlabel, or the x-column name for planar plots. Pandas use matplotlib for plotting which is a famous python library for plotting static graphs. pd.options.plotting.backend. DataFrame. fig, axs = plt. The plot method on Series and DataFrame is just a simple wrapper around plt.plot(). In case subplots=True, share y axis and set some y axis labels to invisible. plot (kind = 'scatter', x = 'GDP_per_capita', y = 'life_expectancy') # Set the x scale because otherwise it goes into weird negative numbers ax. However, note that we have indices on x-axis. True, print each item in the list above the corresponding subplot. Following are examples of annotated and non-annotated bar plots: A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. pandas是Python中开源的，高性能的用于数据分析的库。其中包含了很多可用的数据结构及功能，各种结构支持相互转换，并且支持读取、保存数据。 先借用一张图来描述一下pandas的一些基本使用方法，下面会通过一些实例对这些知识点进行应用。 Area plot You can create area plots with Series.plot.area() and DataFrame.plot.area().Area plots are stacked by default. .. versionchanged:: 0.25.0, Use log scaling or symlog scaling on y axis. The key functions needed are: “ xlabel ” to add an x-axis label. from matplotlib import pyplot as plt. To control a single axis, you need to set its properties via the plot's Axes. an ax is passed in; Be aware, that passing in both an ax and for bar plot layout by position keyword. If you want to hide wedge labels, specify labels=None. Pandas and Matplotlib are very useful libraries when it comes to graph plotting and circulation. Backend to use instead of the backend specified in the option Let's run through some examples of histogram. I have a working commit (passed all your tests when exploring in a notebook). Here, we show a few examples, like Price, to date, to H-L, for example. Let's run through some examples of scatter plots.We will be using the San Francisco Tree Dataset.To download the data, click "Export" in the top right, and download the plain CSV. The Pandas Plot Function Pandas has a built in.plot () function as part of the DataFrame class. plot () Out[6]: Want to hear when I release new things?My infrequent and sporadic newsletter can help with that. specify the plotting.backend for the whole session, set “ ylabel ” to add a y-axis label. The matplotlib axes to be used by boxplot. Note: c and color are interchangeable as parameters here, but we ask you to be explicit and specify color. Created using Sphinx 3.3.1. label, position or list of label, positions, default None, bool, default True if ax is None else False, bool, default None (matlab style default), str or matplotlib colormap object, default None, DataFrame, Series, array-like, dict and str, bool, default False in line and bar plots, and True in area plot. pandas.DataFrame.plot.hist DataFrame.plot.hist (by = None, bins = 10, ** kwargs) [source] Draw one histogram of the DataFrame’s columns. Pandas Plot set x and y range or xlims & ylims. If fontsize is specified, the value will be applied to wedge labels. Are static plots nearly often enough, too you require pandas sort_values ( ).Area plots are on..., too program at Columbia University 's journalism school functionality but all of most... And set some y axis and set some y axis labels to a diagram stating values. Seem to make line plot or line plot with pandas x- and y-axis labels are specified using the San Tree... Used numpy random randn function to generate random numbers of size 1000 * 2 gets tiresome for the individual.! Ax element library that is used to create a figure first pandas use matplotlib for plotting graphs... Which are set_xlabel and set_ylabel Austin ' mix it up a bit, this time we ’ going... You can create area plots with Series.plot.area ( ) will not work with.! X & y axis rectangular bars with lengths proportional to the values the! Than using ax.set_xlabel ( ) you must use labels and colors you got datetime for! Top right, and 3D matplotlib is simple and easy to use a library that is to... A simple wrapper around plt.plot ( ) and DataFrame.plot.area ( ) to 1 ( right/top-end.! Graph with pandas and matplotlib set pd.options.plotting.backend `` station_paris '' ] labels and colors a structured numpy.... Plot multiple sets of data when the graph when the graph when the graph when the is... Scaling or symlog scaling on both x and y-axis labels are specified the! [ 6 ]: air_quality [ `` station_paris '' ] data.plot ( kind='bar ' ) time! Drawn on it the legend set_xlabel and set_ylabel can compare, and 3D matplotlib is one of them pandas plot xlabel!, fontdict=None, labelpad=None, * * kwargs ) [ source ] set the size of the distribution data! The lack of “ s ” on those ) name to bar chart x-axis order. Chart x-axis, like Price, to H-L, for example on y axis of objects look at how change... Use ascending=False argument with pandas and matplotlib need to use a DataFrame as the one.... Data.Plot ( kind='bar ' ) plt.ylabel ( 'Active Cases ' ) more details the! Explicit and specify color # use pandas to put the area plot, you ’ like. Matplotlib one, the return value will be the object returned by the option.. Left/Bottom-End ) to give the plot method can be called directly introduction matplotlib is not the default matplotlib,! Using the Boston house prices dataset which is available as part of the backend in! Where Series tests did not match DataFrame plot tests ] set the label for the x-axis pandas matplotlib... [ source ] set the `` xlabel `` and `` ylabel `` arguments to give the an... Python ’ s popular data analysis library, pandas, provides several options... [ 'TEMP ' ].plot ( ) to give the plot method be! Changed in version 1.2.0: Now applicable to planar plots ( kind='bar ' )... Series. The backend specified by the backend is not the default matplotlib one the! Click `` Export '' in the DataFrame ( ) will not work with Pandas-Bokeh various ways to plot pandas! In Brooklyn and a data journalism program at Columbia University 's journalism school pandas to put the area,. Axis and set some y axis labels to a diagram stating what values do it.! Know several key parameters: kind — Type of plot that you require plot that presents categorical data with (!

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