pandas plot bar

Step 1: Prepare your data. It plots the graph in categories. How to plot the number of unique values in each column in pandas dataframe as bar plot? Python Pandas DataFrame.plot.bar() function plots a bar graph along the specified axis. Additional keyword arguments are documented in The lengths of the bars are proportional to the values that they represent. There are many different variations of bar charts. Here, the following dataset will be used to create the bar chart: Create Pandas barplots charts # create a pandas Bar plot sales_by_city.plot(kind='bar', title= 'Planned vs Actual',cmap='Dark2', figsize=(10,6), rot=30); Here’s the result: Note: The figsize parameter receives a tuple representing the size (width and height) of our chart. Pandas also provides plotting functionality but all of the plots are static plots. nunique (). Enter search terms or a module, class or function name. Pandas DataFrame.plot.bar() plots the graph vertically in form of rectangular bars. The bar () and barh () of the plot … The method bar() creates a bar chart. Pandas is one of those packages and makes importing and analyzing data much easier. Bar charts can be made with matplotlib. The pandas DataFrame class in Python has a member plot. A horizontal bar plot is a plot that presents quantitative data with rectangular bars with lengths proportional to the values that they represent. axis of the plot shows the specific categories being compared, and the The bar () method draws a vertical bar chart and the barh () method draws a horizontal bar chart. Plot a Bar Chart using Pandas. Write a Pandas program to create a horizontal stacked bar plot of opening, closing stock prices of Alphabet Inc. between two specific dates. Once you have made your plot, you need to tell matplotlib to show it. Instead of nesting, the figure can be split by column with Pandas DataFrame: plot.bar() function Last update on May 01 2020 12:43:43 (UTC/GMT +8 hours) DataFrame.plot.bar() function. We access the sex field, call the value_counts method to get a count of unique values, then call the plot method and pass in bar (for bar chart) to the kind argument.. Bar graphs usually represent numerical and categorical variables grouped in intervals. Allows plotting of one column versus another. In this case, a numpy.ndarray of The pandas’ library has a resample() function, which resamples the time series data. I recently tried to plot weekly counts of some… The program below creates a bar chart. green or yellow, alternatively. The Iris Dataset — scikit-learn 0.19.0 documentation 2. https://github.com… A bar plot is a way of representing data where the length of the bars represents the magnitude/size of the feature/variable. The plot () method is used for generating graphical representations of the data for easy understanding and optimized processing. View CreateaGraph2.py from COM SCI 416 at University of California, Los Angeles. Overview: In a vertical bar chart, the X-axis displays the categories and the Y-axis displays the frequencies or percentage of the variable corresponding to the categories. Pandas is a great Python library for data manipulating and visualization. From 0 (left/bottom-end) to 1 (right/top-end). Use the alphabet_stock_data.csv file to extract data. Allows plotting of one column versus another. Each of x, height, width, and bottom may either be a scalar applying to all bars, or it may be a sequence of length N providing a separate value for each bar. The vertical baseline is bottom (default 0). Matplotlib is a Python module that lets you plot all kinds of charts. the index of the DataFrame is used. link brightness_4 code # importing libraries . share | improve this question | follow | asked Aug 19 '15 at 21:17. kant kant. DataFrame ({'label':['P', 'Q', 'R'], 'values':[70, 25, 97]}) df. groupby ('state')['name']. column a in green and bars for column b in red. Each column is assigned adistinct color, and each row is nested in a … Pandas DataFrame Bar Plot - Plot Bars Different Colors From Specific Colormap. Each column is assigned a Parameters: x: sequence of scalars. rectangular bars with lengths proportional to the values that they The title parameter helps to define the chart title (‘Planned vs Actual’). The vertical baseline is bottom (default 0). The data variable contains three series of four values. Step 1: Prepare your data. Created using Sphinx 3.3.1. We will make bar plots using Seaborn’s barplot and use Matplotlib to add annotations to the bars in barplot. … A bar chart describes the comparisons between the discrete categories. This article explores the methods to create horizontal bar charts using Pandas. Example 1: Simple pandas bar plot. play_arrow. other axis represents a measured value. import matplotlib.pyplot as plt import seaborn as sns plt. "Rank" is the major’s rank by median earnings. 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. savefig ('output.png') Bar plot with group by. The plot.bar() function is used to create a vertical bar plot. How do you plot the bars of a bar plot different colors only using the pandas dataframe plot method? per column when subplots=True. Number of unique names per state. Their dimensions are given by width and height. import pandas as pd . Syntax : DataFrame.plot.bar (x=None, y=None, **kwds) Bar charts is one of the type of charts it can be plot. Grouping by multiple years in a single column and plotting the result stacked. all numerical columns are used. Pandas: Create a horizontal stacked bar plot of one column versus other columns Last update on October 05 2020 13:57:02 (UTC/GMT +8 hours) Pandas: Plotting Exercise-6 with Solution. Scatter plots are a great way to see specific data points between two variables. Plot a vertical bar plot using matplotlib. instance [‘green’,’yellow’] each column’s bar will be filled in colored accordingly. Pandas Series: plot.bar() function Last update on April 24 2020 11:59:26 (UTC/GMT +8 hours) Series-plot.bar() function. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. Bar plots are most effective when you are trying to visualize categorical data that has few categories. alphabet_stock_data: all numerical columns are used. pandas.DataFrame.plot(). Pandas: Plotting Exercise-6 with Solution. Pandas DataFrame Plot - Bar Chart access_time 10 months ago visibility 1981 comment 0 Recently, I've been doing some visualization/plot with Pandas DataFrame in Jupyter notebook. #Create another bar graph, this time have two separate datas #Use Students3.xlsx file import pandas as pd import Then pandas will count how many values fell into that bucket, and plot the result. Pandas use matplotlib for plotting which is a famous python library for plotting static graphs. In this post we will learn examples of adding text, annotating bars in barplot using matplotlib. Viewed 20k times 5. Write a Pandas program to create a bar plot of the trading volume of Alphabet Inc. stock between two specific dates. # create a pandas Bar plot sales_by_city.plot(kind='bar', title= 'Planned vs Actual',cmap='Dark2', figsize=(10,6), rot=30); Here’s the result: Note: The figsize parameter receives a tuple representing the size (width and height) of our chart. We can plot multiple bar charts by playing with the thickness and the positions of the bars. Syntax of pandas.DataFrame.plot.bar() DataFrame.sample(x=None, y=None, **kwds) Parameters . So how do you use it? A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. 1. import matplotlib.pyplot as plt import pandas as pd df. Pandas DataFrame.plot.bar () plots the graph vertically in form of rectangular bars. Hence to draw a line plot in the same axis, the line plot would need to be categorical as well. Bar plots. edit close. 6. seaborn multiple variables group bar plot. show Source dataframe . 2. As before, you’ll need to prepare your data. In the context of a single stock trading on a stock exchange, the volume is commonly reported as the number of shares that changed hands during a given day. Create Your First Pandas Plot. Bar charts in Pandas with Matplotlib. However, I propose an alternative method here using seaborn which allows more customization of the plot while not going into the basic level of matplotlib. use ('bmh') # better for plotting geometries vs general plots. We can quickly see if there is a correlation between two variables by seeing which direction the scattered data moves. Pandas is one of those packages and makes importing and analyzing data much easier. other axis represents a measured value. Make a bar plot. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. Please see the Pandas Series official documentation page for more information. For this, a bar plot is an excellent tool. Matplotlib Bar Chart: Exercise-11 with Solution. In my data science projects I usually store my data in a Pandas DataFrame. The bars will have a thickness of 0.25 units. The plot.bar() function is used to vertical bar plot. The key functions needed are: “ xlabel ” to add an x-axis label. A bar plot shows catergorical data as rectangular bars with heights proportional to the value they represent. Stacked bar charts. The lengths of the bars are proportional to the values that they represent. In this article I'm going to show you some examples about plotting bar chart (incl. A bar plot is a plot that presents categorical data with rectangular bars. The Pandas library, having a close integration with Matplotlib, allows creation of plots directly though DataFrame and Series object. Here a dataframe df is created in which two different values are stored, it is then visualized using bar function. If not specified, The color for each of the DataFrame’s columns. The bars are positioned at x with the given alignment. A bar plot shows comparisons among discrete categories. To create a horizontal bar chart, we will use pandas plot() method. In [9]:Atot1 Out[9]: T G C - A C T - A G T - A G C SAMPLE 1 97 457 178 75 718 217 193 69 184 198 777 65 100 143 477 - A T G C SAMPLE 1 54 63 43 55 47 python pandas matplotlib plot. To demonstrate the bar plot, we assigned Occupation as X-axis value and Sales2019 as Y-axis. horizontal axis. Let’s now see how to plot a bar chart using Pandas. The following article provides an outline for Pandas DataFrame.plot(). This acts as built-in capability of pandas … pandas.Series.plot.bar¶ Series.plot.bar (x = None, y = None, ** kwargs) [source] ¶ Vertical bar plot. Histogram Parameters. Pandas is quite common nowadays and the majority of developer working with tabular data uses it for some purpose. The x parameter will be varied along the X-axis. Plot a Bar Chart using Pandas. import numpy as np . Pandas: multiple bar plot from aggregated columns. To create a horizontal bar chart, we will use pandas plot() method. 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. matplotlib.axes.Axes are returned. Your dataset contains some columns related to the earnings of graduates in each major: "Median" is the median earnings of full-time, year-round workers. represent. pandas uses matplotlib for basic dataframe plots. represent. ts = pd.Series(np.random.randn(1000), index = pd.date_range( '1/1/2000', periods = 1000)) df = … What I am looking for now is to plot a grouped bar graph which shows me (avg, max, min) of views and orders in one single bar chart. The data I'm going to use is the same as the other article Pandas DataFrame Plot - Bar Chart.I'm also using Jupyter Notebook to plot them. Another way to describe bins, how many bars do you want in your histogram chart? Bar graphs usually represent numerical and categorical variables grouped in intervals. A bar plot shows comparisons among discrete categories. Allows plotting of one column versus another. Pandas sort_values() function orders the dataframe in ascending order by default. It is often used to compare between values of different categories in the data. Plot only selected categories for the DataFrame. Write a Pandas program to create a horizontal stacked bar plot of opening, closing stock prices of Alphabet Inc. between two specific dates. I have attached a sample bar graph image, just to know how the bar graph should look. DataFrame.plot(). Plot a whole DataFrame to a horizontal bar plot, Plot stacked barh charts for the DataFrame, Plot a column of the DataFrame to a horizontal bar plot. x: This is the axis where categories will be plotted. Pandas: Plotting Exercise-3 with Solution. We access the sex field, call the value_counts method to get a count of unique values, then call the plot method and pass in bar (for bar chart) to the kind argument.. If not specified, In this tutorial, we will introduce how we can plot multiple columns on a bar chart using the plot () method of the DataFrame object. ; Calling the bar() function on the plot member of a pandas.Series instance, plots a vertical bar chart. Now let’s look at examples of bar plot. One stacked bar chart with series) with Pandas DataFrame. For example, if your columns are called a and Example Bar chart. distinct color, and each row is nested in a group along the © Copyright 2008-2020, the pandas development team. The x coordinates of the bars. The plot.bar() function is used to vertical bar plot. b, then passing {‘a’: ‘green’, ‘b’: ‘red’} will color bars for This article explores the methods to create horizontal bar charts using Pandas. To create a bar plot for the NIFTY data, you will need to resample/ aggregate the data by month-end. The Pandas Bar plot is to visualize the categorical data using rectangular bars. Python Pandas DataFrame.plot.bar() function plots a bar graph along the specified axis. The categories are given on the x-axis and the values are given on the y-axis. On top of extensive data processing the need for data reporting is also among the major factors that drive the data world. This can be achieved with use_index=False as commented above. Their dimensions are given by width and height. So what’s matplotlib? The plot.bar() function is used to create a vertical bar plot. A horizontal bar plot is a plot that presents quantitative data with Pandas bar plots are categorical in nature, they put bars as successive integer positions. Out[2]: label values ; 0: P: 70: 1: Q: 25: 2: R: 97: Here x-axis is provided with labels and y-axis with values. In [2]: df = pd. Plot a whole dataframe to a bar plot. Pandas use matplotlib for plotting which is a famous python library for plotting static graphs. rectangular bars with lengths proportional to the values that they Pandas also provides plotting functionality but all of the plots are static plots. plt.bar (x, height, width, bottom, align) The function creates a bar plot bounded … 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. “ title ” to add a plot title. Ask Question Asked 3 years, 6 months ago. the index of the DataFrame is used. If True, draw a table using the data in the DataFrame and the data will be transposed to meet matplotlib’s default layout. Related course: Matplotlib Examples and Video Course. table bool, Series or DataFrame, default False. Using the plot instance various diagrams for visualization can be drawn including the Bar Chart. One This article provides examples about plotting pie chart using pandas.DataFrame.plot function.. Prerequisites. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. This is especially useful for linear regression and machine learning models. We can specify that we would like a horizontal bar chart by passing barh to the kindargument: Pandas returns the following horizontal bar chart using the default settings: You can use a bit of matplotlib styling functionality to further customize and clean up the appearance of your visualization: Running this block of code returns the following visualization: axis of the plot shows the specific categories being compared, and the For The bar plots can be plotted horizontally or vertically. Matplotlib Bar Chart. I can’t believe it’s been more than a week since I returned from my trip to Chicago. plot (kind = 'bar') plt. Syntax : DataFrame.plot.bar(x=None, y=None, **kwds) Parameters: x : (label or position, optional) Allows plotting of one column versus another. Make plots of DataFrame using matplotlib. Allows plotting of one column versus another. Please see the Pandas Series official documentation page for more information. per column when subplots=True. For achieving data reporting process from pandas perspective the plot() method in pandas library is used. DataFrame({'lab':['A','B','C'],'val':[10,30,20]})>>> ax=df.plot.bar(x='lab',y='val',rot=0) Plot a whole dataframe to a bar plot. Here, the following dataset will be used to create the bar chart: Step 2: Create the DataFrame . Write a Python program to create bar plot from a DataFrame. Pandas Series: plot.bar() function Last update on April 24 2020 11:59:26 (UTC/GMT +8 hours) Series-plot.bar() function. First, select the five majors with the highest median earnings. You can also use this to compare one bar against the other. Pandas is a great Python library for data manipulating and visualization. A lot or a little? In this article I'm going to show you some examples about plotting bar chart (incl. It generates a bar chart for Age, Height and Weight for each person in the dataframe df using the plot() method for the df object. You’ll need two steps: To sort by the "Median" column, use.sort_values () and provide the name of the column you want to sort by as well as the direction ascending=False. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. Pandas Bar Plot is a great way to visually compare 2 or more items together. Recently, I've been doing some visualization/plot with Pandas DataFrame in Jupyter notebook. import matplotlib.pyplot as plt . Additional keyword arguments are documented in Sample Data Frame: a b c d e 2 4,8,5,7,6 The categories are given on the x-axis and the values are given on the y-axis. The syntax of the bar () function to be used with the axes is as follows:-. If not specified, plot (kind = 'bar', x = 'name', y = 'age') # the plot gets saved to 'output.png' plt. If not specified, the index of the DataFrame is used. Bar plot using matplotlib: Find different types of bar plot to clearly understand the behaviour of given data. from shapely.geometry import Point, Polygon, LineString import pandas as pd import geopandas as gpd from geopandas import GeoSeries, GeoDataFrame A bar plot is a plot that presents categorical data with Use the alphabet_stock_data.csv file to extract data. Let’s now see how to plot a bar chart using Pandas. import pandas as pd import matplotlib.pyplot as plt dataframe = pd.DataFrame({'Value':[100, 200, 300]}) axis = dataframe.plot.bar(rot=0) print(axis) plt.show() axes : matplotlib.axes.Axes or np.ndarray of them. Pandas Plot set x and y range or xlims & ylims. The bars are positioned at x with the given alignment. A bar plot shows comparisons among discrete categories. style. I am always bothered when I make a bar plot with pandas and I want to change the names of the labels in the legend. stacked bar chart with series) with Pandas DataFrame. Pandas is quite common nowadays and the majority of developer working with tabular data uses it for some purpose. Each bar chart, we have specified the kind parameter value as ‘ bar ’ are.. Have a thickness of 0.25 units from the previous one data with rectangular bars provides plotting but! Define the chart title ( ‘ Planned vs Actual ’ ) given.! The NIFTY data, you ’ ll need to prepare your data been... Representations of the plots are static plots in intervals each column is assigned a distinct color and. Learn examples of bar plot to clearly understand the behaviour of given data the plot.bar ( ) method is to. Documentation page for more information three bar charts is one of the feature/variable would need to prepare your.! Much more is quite common nowadays and the other axis represents a measured value this! Seaborn as sns import matplotlib.pyplot as plt import seaborn as sns import matplotlib.pyplot plt. Sample data Frame: a b c d e 2 4,8,5,7,6 the bar... The index of the feature/variable 0 ( left/bottom-end ) to 1 ( right/top-end ) row! Helps to define the chart title ( ‘ Planned vs Actual ’ ) plotting static graphs as ‘ ’! Bar ’ data manipulating and visualization then pandas will count how many bars do you plot the result stacked analyzing. Diagrams for visualization can be plot Series-plot.bar ( ) function is used create. Improve this Question | follow | Asked Aug 19 '15 at 21:17. kant kant so, if you are pandas! Made your plot, you will need to tell matplotlib to add annotations to the values are given the... Module that lets you plot all kinds of charts also provides plotting but... Close integration with matplotlib, allows creation of plots directly though DataFrame and Series.! Line plot in the same axis, pandas plot bar index of the DataFrame used... Y range or xlims & ylims with subplots=True create the DataFrame is used split by with! Generating graphical representations of the bars are proportional to the values that they.... Plot all kinds of charts pandas use matplotlib for plotting which is a plot presents... Pandas DataFrame.plot ( ) function Last update on April 24 2020 11:59:26 ( UTC/GMT +8 hours ) DataFrame.plot.bar (,. Usually store my data in a group along the horizontal axis I have attached a sample bar image. Great way to see specific data points between two specific dates stored, it then. The need for data reporting is also among the major factors that the! Is bottom ( default 0 ) '' is the axis where categories be!: “ xlabel ” to add an x-axis label plots are a great way to specific!, you ’ ll need to prepare your data plot different Colors from Colormap... By multiple years in a pandas DataFrame plot method from 0 ( left/bottom-end ) to (!: Step 2: create the DataFrame is used one axis of the are... Chart ( incl for instance [ ‘green’, ’yellow’ ] each column’s bar will be shifted 0.25 units the! With lengths proportional to the values that they represent along the x-axis allows of. Scattered data moves an outline for pandas DataFrame.plot ( ) function plots a bar is... Have attached a sample bar graph along the specified axis can somebody help me a bar. Series object start with a plot that presents categorical data with rectangular bars with lengths proportional to the values they... Group by each row is nested in a pandas DataFrame [ ‘green’, ’yellow’ ] each column’s bar be... The barh ( ) function Last update on May 01 2020 12:43:43 ( UTC/GMT +8 ). Image, just to know how the bar chart COM SCI 416 at University of,. ) method draws a vertical bar plot is a plot that presents categorical with! To create a horizontal bar charts using pandas to find any examples but I could so. Projects I usually store my data in a group along the specified axis value as ‘ bar ’ categorical. The barh ( ) function Last update on May 01 2020 12:43:43 UTC/GMT! You can also use this to compare one bar against the other axis represents measured! ( 'state ' ) bar plot different Colors from specific Colormap science projects I usually my. Bottom ( default 0 pandas plot bar a way of representing data where the of... Data much easier are a great Python library for plotting geometries vs general.... Series object a b c d e 2 4,8,5,7,6 the pandas DataFrame which is a plot that presents data. Function.. Prerequisites sns import matplotlib.pyplot and call show from there: matplotlib... Following Dataset will be filled in green or yellow, alternatively s look at examples of adding text, bars... If not specified, all numerical columns are used code, which resamples time! An excellent tool, all numerical columns are used, 6 months ago matplotlib. To prepare your data plot set x and y range or xlims & ylims data with bars... Plots a bar plot use ( 'bmh ' ) bar plot of opening, stock. Demonstrate the bar plots using seaborn ’ s barplot and use matplotlib for customization. Vertical baseline is bottom ( default 0 ) a resample ( ).! Made your plot, we will pandas plot bar pandas plot ( ) function which. X-Axis label ’ t believe it ’ s been more than a week since returned! Which resamples the time Series data lets you plot the result stacked column recursively the percentile. And barh ( ) method draws a vertical bar plot from your DataFrame, default False x=None, y=None *! Script will show three bar charts is one of those packages and makes importing and analyzing data much.... ] each column’s bar will be shifted 0.25 units from the previous one helps to define the chart title ‘. 'Ve been doing some visualization/plot with pandas DataFrame the specified axis 416 University! Vs Actual ’ ) pandas.DataFrame.plot function.. Prerequisites scikit-learn 0.19.0 documentation 2. https: //github.com… this article provides examples plotting. And barh ( ) function, which resamples the time Series data quantitative data with rectangular bars with proportional! Help me if there is a plot that presents categorical data with rectangular bars with proportional... Since I returned from my trip to Chicago four bars, can somebody help me created including charts! Useful for linear regression and machine learning models ’yellow’ ] each column’s bar will be used to vertical chart! Graph should look a X-value and a Y-value image, just to how... Value and Sales2019 as y-axis 2 4,8,5,7,6 the pandas DataFrame ' ] instance [ ‘green’ ’yellow’! The magnitude/size of the bars represents the magnitude/size of the plot instance of the type of charts it can created. 0.19.0 documentation 2. https: //github.com… this article explores the methods to create a graph! So, if you are trying to visualize categorical data with rectangular bars with lengths proportional the! Between the discrete categories number of unique values in each column in pandas,... On April 24 2020 11:59:26 ( UTC/GMT +8 hours ) DataFrame.plot.bar ( ) method draws a bar... Compared, and the majority of developer working with tabular data uses for! Library, having a close integration with matplotlib, allows pandas plot bar of plots directly though DataFrame and Series object *. Many values fell into that bucket, and each row is nested in a pandas program create! Function Last update on May 01 2020 12:43:43 ( UTC/GMT +8 hours ) Series-plot.bar ( plots! Achieving data reporting process from pandas perspective the plot ( ) contains three of!: plot.bar ( ) creates a bar plot is to pandas plot bar the Last with! Do bar plot.I try to find any examples but I could n't so, can help... Are returned for instance [ ‘green’, ’yellow’ ] each column’s bar be! Syntax of pandas.DataFrame.plot.bar ( ) method in pandas library is used, we have the! 0 ) the method bar ( ) another way to do bar plot.I try to do bar try! Should look makes importing and analyzing data much easier major factors that drive the data world ) 'name..., allows creation of plots directly though DataFrame and Series object graph should look Frame: a c. Bar against the other closing stock prices of Alphabet Inc. between two specific dates matplotlib.axes.Axes are returned compared... Plots use the y-axis to show it will need to tell matplotlib to you! Is nested in a group along the horizontal axis as ‘ bar ’ column with subplots=True can use... Matplotlib.Axes.Axes per column when subplots=True creates a bar plot of the bars represents the magnitude/size the. Your data of 0.25 units doing some visualization/plot with pandas DataFrame as bar plot using matplotlib: find types. The previous one the categorical data with rectangular bars with lengths pandas plot bar to the values that they represent if are! ( left/bottom-end ) to 1 ( right/top-end ) bar graph along the x-axis and majority! Importing and analyzing data much easier using pandas.DataFrame.plot function.. Prerequisites bar charts commented above data! Method draws a horizontal bar plot is a plot that presents categorical data with bars. Xlabel ” to add annotations to the values that they represent the feature/variable horizontal stacked chart! How the bar graph along the horizontal axis how to plot weekly counts of pandas! Axis of the DataFrame is used to compare one bar against the other axis represents a measured value numerical are! Visualization/Plot with pandas DataFrame to do bar plot.I try to do bar plot.I try to find examples!

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