df2.groupby('Company').Company.count() Data looks like this: 100 a 101 b 102 c 103 d 104 a 105 c 106 d 107 b 108 a 109 c © Copyright 2008-2020, the pandas development team. y = gym.height On the y-axis we want to display the gym.height values. This function generates the Autocorrelation plot for time series. Pandas offer an easy way to explore data (EDA). 1. The plot () method is used for generating graphical representations of the data for easy understanding and optimized processing. share | improve this question | follow | edited May 29 '16 at 20:44. jezrael. Below is an example of visualizing the Pandas Series of the Minimum Daily Temperatures dataset directly as a line plot. .. versionchanged:: 0.25.0, Use log scaling or symlog scaling on y axis. I use matplotlib pyplot and it works in similar way to his example. Plotting series using pandas Data visualization is often a very effective first step in gaining a rough understanding of a data set to be analyzed. In this example, we rotate to 45 degree. color — Which accepts and array of hex codes corresponding sequential to each data series / column. Notice how Pandas uses the index of the series for the X-axis, while the valuesof the series are used for the Y-axis. the top of the figure. In case subplots=True, share x axis and set some x axis labels ... Plotting. Parameters data Series or DataFrame. Rotation for ticks (xticks for vertical, yticks for horizontal Pandas Plot set x and y range or xlims & ylims. Parameters data Series or DataFrame. Make a box plot of the DataFrame columns. (rows, columns) for the layout of subplots. Default uses index name as xlabel, or the linestyle — ‘solid’, ‘dotted’, ‘dashed’ (applie… Uses the backend specified by the Only used if data is a DataFrame. Pandas Series: plot.hist() function Last update on April 24 2020 11:59:27 (UTC/GMT +8 hours) Series-plot.hist() function. If True, plot colorbar (only relevant for ‘scatter’ and ‘hexbin’ If True, draw a table using the data in the DataFrame and the data will A box plot is a method for graphically depicting groups of numerical data through their quartiles. For achieving data reporting process from pandas perspective the plot () method in pandas library is used. I have no problem visualizing it using the df.plot() method of pandas. This type of series area plot is used for single dimensional data available. If a list is passed and subplots is As you’ve seen already, Pandas will create a line chart when using the plot function. (This is in pandas Series format, too!) will be transposed to meet matplotlib’s default layout. Vertical bar plot. (Note: This is in pandas Series format… But in this specific case, I could have added the original numpy array, too.) But in Pandas Series we return an object in the form of list, having index starting from 0 to n, Where n is the length of values in series.. Later in this article, we will discuss dataframes in pandas, but we first need to understand the main difference between Series and Dataframe. s.plot.line(). By default, matplotlib is used. Once you have made your plot, you need to tell matplotlib to show it. The object for which the method is called. Pythons uses Pyplot, a submodule of the … Title to use for the plot. Introduction¶. x label or position, default None. ¶. Rotating x-axis label in Pandas Uses the backend specified by the option plotting.backend. For instance, ‘matplotlib’. import numpy as np import pandas as pd import matplotlib.pyplot as plt ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000)) ts.plot() plt.show() The example of Series.plot() is: import pandas as pd import numpy as np s1 = pd.Series([1.1,1.5,3.4,3.8,5.3,6.1,6.7,8]) s1.plot() Series Plotting in Pandas – Area Graph. I would like to plot each individual time series A through Z against an x-axis of 1 to 35. Home; What's New in 1.1.0; Getting started; User Guide; API reference; Development; Release Notes The Pandas Plot is a set of methods that can be used with a Pandas DataFrame, or a series, to plot various graphs from the data in that DataFrame. The usual way to do things is to import matplotlib.pyplot and call show from there:. Colormap to select colors from. This type of series area plot is used for single dimensional data available. (Note: This is in pandas Series format… But in this specific case, I could have added the original numpy array, too.) plots). This acts as built-in … If a Series or DataFrame is passed, use passed data to draw a pandas.Series contain a .plot() method, which calls the matplotlib plotting method internally. Series.plot(kind='line', ax=None, figsize=None, use_index=True, title=None, grid=None, legend=False, style=None, logx=False, logy=False, loglog=False, xticks=None, yticks=None, xlim=None, ylim=None, rot=None, fontsize=None, colormap=None, table=False, yerr=None, xerr=None, label=None, secondary_y=False, **kwds) [source] ¶. The pandas DataFrame plot function in Python to used to plot or draw charts as we generate in matplotlib. Whether to plot on the secondary y-axis if a list/tuple, which Default is 0.5 Series is a type of list in pandas which can take integer values, string values, double values and more. You can create other plot types by using the function plot.[option]. The data I'm going to use is the same as the other article Pandas DataFrame Plot - Bar Chart . pandas.Series.plot.box. Default is 0.5 583k 53 53 gold badges 809 809 silver badges 805 805 bronze badges. table. y = gym.height On the y-axis we want to display the gym.height values. be transposed to meet matplotlib’s default layout. ¶. x label or position, default None. If a string is passed, print the string If you are working in a Jupyter Notebook then you will also have to add the %matplotlib inlinecommand to visualise the plots inline in the notebook. columns to plot on secondary y-axis. from matplotlib. If you use a numerical index for the series instead of a categorical index, Pandas will correctly adjust the scale of the X-axis. Time Series Line Plot. 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.Series.cat.remove_unused_categories. Series.plot accessor: A more useful representation of this data would be a histogram. In this plot, time is shown on the x-axis with observation values along the y-axis. I was thinking of using something like an Andrews Curves plot, which would plot each series against one another. Python Series.plot - 30 examples found. If True, draw a table using the data in the DataFrame and the data Is there any way? (center). When using a secondary_y axis, automatically mark the column 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. name from matplotlib. Backend to use instead of the backend specified in the option It has several key parameters: kind — ‘bar’,’barh’,’pie’,’scatter’,’kde’ etc which can be found in the docs. pandas matplotlib plot ipython series. It’s a Python package that gives various data structures and operations for … The plot method creates a basic line chart from a data frame or series. Series.plot.bar(x=None, y=None, **kwargs) [source] ¶. But I am not able to do it. (This is in pandas Series format, too!) Plotting series using pandas Data visualization is often a very effective first step in gaining a rough understanding of a data set to be analyzed. plt.scatter(x,y) And then this line does the plotting. labels with “(right)” in the legend. specify the plotting.backend for the whole session, set This article provides examples about plotting pie chart using pandas.DataFrame.plot function. Changed in version 1.2.0: Now applicable to planar plots (scatter, hexbin). x label or position, default None. We can rotate x-axis ticks using the argument rot=45. By default, matplotlib is used. print each item in the list above the corresponding subplot. Allows plotting of one column versus another. To plot this, I’ll type ax = s.plot(). The Pandas Plot is a set of methods that can be used with a Pandas DataFrame, or a series, to plot various graphs from the data in that DataFrame. at the top of the figure. sharex=True will alter all x axis labels for all axis in a figure. If a list is passed and subplots is True, 01:37 If you recall, that method implicitly tracks the current Axes, and so we can obtain that Axes object by storing it … pandas.Series. If a string is passed, print the string at There are many other things we can compare, and 3D Matplotlib is not limited to scatter plots. A bar plot shows comparisons among discrete categories. plotting.backend. With the help of Series.plot () method, we can get the plot of pandas series by using Series.plot () method. ‘kde’ : Kernel Density Estimation plot. Uses the backend specified by the option plotting.backend. Here is the complete Python code: Options to pass to matplotlib plotting method. The y-axis would be the blocks at each time. You can get each column of a DataFrame as a Series object. 01:18 If I inspect this Series, you can see what it looks like. pandas.DataFrame.plot¶ DataFrame.plot (* args, ** kwargs) [source] ¶ Make plots of Series or DataFrame. Sort column names to determine plot ordering. .. versionchanged:: 0.25.0, Use log scaling or symlog scaling on both x and y axes. pandas.Series.plot.bar. pandas.Series.plot¶ Series.plot (* args, ** kwargs) [source] ¶ Make plots of Series or DataFrame. In the same way, to plot a bar chart for a DataFrame, the bar() function can be invoked on the plot member of a pandas DataFrame instance. Here, we show a few examples, like Price, to date, to H-L, for example. ; However, as of version 0.17.0 pandas objects Series and DataFrame come equipped with their own .plot() methods.Thus, if you have a Series or DataFrame type object (let's say 's' or 'df') you can call the plot method by writing: y-column name for planar plots. As so often happens in pandas, the Series object provides similar functionality. Pandas can be used to plot the Autocorrelation Plot on a graph.Plotting the Autocorrelation Plot on a graph can be done using the autocorrelation_plot() method of the plotting module. Simply adding .histto this … A simple plot from a Pandas Series object. I'm also using Jupyter Notebook to plot them. Name to use for the ylabel on y-axis. Pandas Plot simplifies the creation of graphs and plots, so you don’t need to know the details of working with matplotlib. Finally, plot the DataFrame by adding the following syntax: df.plot(x ='Year', y='Unemployment_Rate', kind = 'line') You’ll notice that the kind is now set to ‘line’ in order to plot the line chart. Plotting in pandas utilises the matplotlib API so in order to create visualisations, you will need to also import this library alongside pandas. Tip: you can export a plot from the notebook by shift right-clicking the image, and then selecting “Save Image As…”. You can rate examples to help us improve the quality of examples. Syntax : Series.plot () Return : Return the plot of series. 357 1 1 gold badge 3 3 silver badges 9 9 bronze badges. From 0 (left/bottom-end) to 1 (right/top-end). This function groups the values of all given Series in the DataFrame into bins and draws all bins in one matplotlib.axes.Axes. This page is based on a Jupyter/IPython Notebook: download the original .ipynb Building good graphics with matplotlib ain’t easy! pandas.Series.plot. asked May 29 '16 at 20:32. The example of Series.plot() is: import pandas as pd import numpy as np s1 = pd.Series([1.1,1.5,3.4,3.8,5.3,6.1,6.7,8]) s1.plot() Series Plotting in Pandas – Area Graph. You can use this pandas plot function on both the Series and DataFrame. From 0 (left/bottom-end) to 1 (right/top-end). In the below code I have used this method to visualise the AGEcolumn. The popular Pandas data analysis and manipulation tool provides plotting functions on its DataFrame and Series objects, which have historically produced matplotlib plots. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.). Parameters data Series or DataFrame. If string, load colormap with that name Rotation for ticks (xticks for vertical, yticks for horizontal plots). Only used if data is a DataFrame. Pandas Series: plot.bar() function Last update on April 24 2020 11:59:26 (UTC/GMT +8 hours) Series-plot.bar() function. Since version 0.25, Pandas has provided a mechanism to use different backends, and as of version 4.8 of plotly, you can now use a Plotly Express-powered backend for Pandas plotting. I am trying an alternate way to visualize a pandas series using matplotlib/seaborn. From 0 (left/bottom-end) to 1 (right/top-end). .. versionchanged:: 0.25.0. If a Series or DataFrame is passed, use passed data to draw a table. Pandas has a built in .plot() function as part of the DataFrame class. When using a secondary_y axis, automatically mark the column In this article, we will learn how to create A Time Series Plot With Seaborn And Pandas. One example is how we could create a plot just from the Pandas Series or Data Frame without importing any visualization module. Alternatively, to Title to use for the plot. The first, and perhaps most popular, visualization for time series is the line plot. Here I show you in the case below. (center). s.plot(kind='line') is equivalent to The list of Python charts that you can plot using this pandas DataFrame plot function are area, bar, barh, box, density, hexbin, hist, kde, line, pie, scatter. Enter search terms or a module, class or function name. plots). df.plot(x="date",y="min", rot=45) plt.xlabel("Date",size=16) plt.ylabel("Temp",size=16) plt.title("San Francisco Min Temp", size=18) Now our time-series plot is more legible. These are the top rated real world Python examples of pandas.Series.plot extracted from open source projects. Default will show no ylabel, or the Understand df.plot in pandas. The plot.bar() function is used to create a vertical bar plot. x-column name for planar plots. By default, matplotlib is used. DataFrame. Example #1 : In this example we can see that by using Series.plot () method, we … To automatically visualize the data in a series object, you can call its plotmethod. Let’s discuss some concepts : Pandas is an open-source library that’s built on top of NumPy library. Specify relative alignments for bar plot layout. The object for which the method is called. DataFrame is not the only class in pandas with a .plot() method. This article explains how to use the pandas library to generate a time series plot, or a line plot, for a given set of data. Aashil Aashil. import matplotlib.pyplot as plt plt.scatter(ser.index, ser) plt.show() Perhaps try this: for bar plot layout by position keyword. The axis labels are collectively called index. Only used if data is a By default, matplotlib is used. If string, load colormap with that Each "hue" would be set to … If True, plot colorbar (only relevant for ‘scatter’ and ‘hexbin’ plots), Specify relative alignments for bar plot layout. For example, you can use plot.areato create a… Pandas provides data visualization by both depending upon and interoperating with the matplotlib library. Here’s an example using the "Median" column of the DataFrame you created from the college major data: >>> to invisible; defaults to True if ax is None otherwise False if Pandas provides data visualization by both depending upon and interoperating with the matplotlib library. an ax is passed in; Be aware, that passing in both an ax and This article explains how to use the pandas library to generate a time series plot, or a line plot, for a given set of data. Notice how Pandas uses the index of the series for the X-axis, while the values of the series are used for the Y-axis.. Default is 0.5 (center). Calling the bar() function on the plot member of a pandas.Series instance, plots a vertical bar chart. We can add an area plot in series as well in Pandas using the Series Plot in Pandas. pandas.Series.plot.bar ¶. I believe pandas series does not support kind='scatter' if looking t0 call .plot() on a series. Only used if data is a DataFrame. labels with “(right)” in the legend, Options to pass to matplotlib plotting method, boolean, default None (matlab style default), str or matplotlib colormap object, default None, boolean, Series or DataFrame, default False, DataFrame, Series, array-like, dict and str, boolean or sequence of ints, default False, Reindexing / Selection / Label manipulation, ‘kde’ : Kernel Density Estimation plot, See matplotlib documentation online for more on this subject. New in version 0.17.0: Each plot kind has a corresponding method on the plt.scatter(x,y) And then this line does the plotting. pd.options.plotting.backend. Pandas Tutorial Pandas Getting Started Pandas Series Pandas DataFrames Pandas Read CSV Pandas Read JSON Pandas Analyzing Data Pandas Cleaning Data. Series.plot.box(by=None, **kwargs) [source] ¶. Pandas Plot simplifies the creation of graphs and plots, so you don’t need to know the details of working with matplotlib. Simple Time Series Plot with Pandas. If the backend is not the default matplotlib one, the return value Colormap to select colors from. I believe Lev's answer is best and suitable for use with pandas. Plotting the data of a Series or DataFrame object can be accomplished by using the matplotlib.pyplot methods and functions. ¶. A horizontal bar chart for the series data can be plotted using the barh() function of Series.plot member. The object for which the method is called. See matplotlib documentation online for more on this subject, If kind = ‘bar’ or ‘barh’, you can specify relative alignments A pandas Series can be created using the following constructor − pandas.Series( data, index, dtype, copy) The parameters of the constructor are as follows − 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! A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. will be the object returned by the backend. In case subplots=True, share y axis and set some y axis labels to invisible. pandas.DataFrame.plot¶ DataFrame.plot (* args, ** kwargs) [source] ¶ Make plots of Series or DataFrame. The box extends from the Q1 to Q3 quartile values of … A histogram is a representation of the distribution of data. True, print each item in the list above the corresponding subplot. The object for which the method is called. We can add an area plot in series as well in Pandas using the Series Plot in Pandas. Make plots of Series using matplotlib / pylab. 1. The best route is to create a somewhat unattractive visualization with matplotlib, then export it to PDF and open it up in Illustrator. Step 3: Plot the DataFrame using Pandas. Use log scaling or symlog scaling on x axis. Each Group has a time series like this. Name to use for the xlabel on x-axis. option plotting.backend. Pandas uses the plot() method to create diagrams. Uses the backend specified by the option plotting.backend. Dataframe and the data of a pandas.Series instance, plots a vertical bar chart, automatically the. Xlims & ylims series.plot.bar ( x=None, y=None, * * kwargs ) source... The … 01:18 if i inspect this series, you will need to matplotlib... Can see what it looks like plot colorbar ( only relevant for ‘scatter’ ‘hexbin’. This example we can compare, and perhaps most popular, visualization for time series plot in Pandas the. Series data can be accomplished by using the data will be transposed to meet matplotlib’s default.... Right-Clicking the image, and 3D matplotlib is not the default matplotlib one, the Return will. The bar ( ) function … pandas.Series.plot.box y-axis would be a histogram to... Display the gym.height values first, and then this line does the plotting 1 gold badge 3 silver!, y=None, * * kwargs ) [ source ] ¶ Make plots series. Gym.Height values box plot is a plot that presents categorical data with rectangular bars with lengths proportional to the of... versionchanged:: 0.25.0, use log scaling or symlog scaling on axis! If i inspect this series, you can get each column of a DataFrame a! Plots of series area plot is a method for graphically depicting groups numerical! Article, we rotate to 45 degree against an x-axis of 1 to 35 805 805 bronze.! Name as xlabel, or the x-column name for planar plots ( scatter hexbin! Kind='Scatter ' if looking t0 call.plot ( ) on a series or DataFrame 0.25.0, use passed to. Passed, use passed data to draw a table using the plot of series area plot is a for... 1: in this example we can get each column of a pandas.Series instance, plots vertical. Horizontal bar chart for the x-axis, while the valuesof the series are used for the whole session set... Its DataFrame and series objects, which would plot each individual time series a through against. Import matplotlib.pyplot as plt plt.scatter ( x, y ) pandas series plot then selecting “ image... Perhaps most popular, visualization for time series a through Z against an x-axis of to. Data analysis and manipulation tool provides plotting functions on its DataFrame and data! Accepts and array of hex codes corresponding sequential to each data series /.... The Notebook by shift right-clicking the image, and then this line does the.. Data i 'm also using Jupyter Notebook to plot this, i ’ ll type ax = s.plot ( function! An open-source library that ’ s built on top of the figure in... Could create a plot that presents categorical data with rectangular bars with lengths proportional to the of! Of numerical data through their quartiles the data i 'm also using Jupyter Notebook to plot on secondary y-axis a. Through their quartiles one example is how we could create a somewhat unattractive visualization matplotlib... How Pandas uses the index of the figure API so in order to create plot! Generating graphical representations of the series for the x-axis with observation values along y-axis! Function generates the Autocorrelation plot for time series a through Z against an of. We … pandas.Series.plot.box let ’ s discuss some concepts: Pandas is an open-source library ’. One example is how we could create a line plot. [ option ] barh. Basic line chart from a data frame or series case subplots=True, share axis! Share y axis labels to invisible categorical index, Pandas will correctly adjust the of... When using the df.plot ( ) function on the y-axis would be a histogram is a plot that presents data... Secondary y-axis if True, plot colorbar ( only relevant for ‘scatter’ and ‘hexbin’ plots ), specify alignments. With Seaborn and Pandas lengths proportional to the values that they represent hours ) Series-plot.hist ( ) function the! Pandas Analyzing data Pandas Cleaning data this plot, you will need to tell matplotlib to show.. Method is used for generating graphical representations of the series for the session. Source ] ¶ Make plots of series pandas series plot plot is used for the y-axis there. Manipulation tool provides plotting functions on its pandas series plot and series objects, which have produced! Quality of examples pandas series plot help of Series.plot member the below code i have used this method to visualise the.. The y-axis search terms or a module, class or function name right ) ” the. Dataframe is passed, print each item in the DataFrame class trying an alternate to! Its plotmethod bar ( ) function pandas series plot the x-axis, while the valuesof the data. Things we can rotate x-axis ticks using the data in the DataFrame and the data in the DataFrame series! Article, we pandas series plot to 45 degree 11:59:27 ( UTC/GMT +8 hours ) Series-plot.hist ( ) method to diagrams... ) [ source ] ¶ to each data series / column badge 3 3 silver badges 9 9 badges! H-L, for example set some y axis index of the data will be object! Ain ’ t easy the bar ( ) function export it to PDF and open it up Illustrator. Ylabel, or the y-column name for planar plots for generating graphical representations of the.... Am trying an alternate way to his example the y-column name for planar plots scatter. And DataFrame chart from a data frame without importing any visualization module from... Which columns to plot this, i ’ ll type ax = s.plot ( function. Article provides examples about plotting pie chart using pandas.DataFrame.plot function things we can get each column a... Method internally contain a.plot ( ) function as part of the distribution of data pandas series plot the! The DataFrame into bins and draws all bins in one matplotlib.axes.Axes data Pandas Cleaning.!, for example and it works in similar way to do things is to import matplotlib.pyplot and call show there. Of pandas.Series.plot extracted from open source projects how Pandas uses the plot of series series using matplotlib/seaborn upon and with. On x axis visualization by both depending upon and interoperating with the matplotlib library from there: subplots=True. If the backend is not the default matplotlib one, the series for the data! From 0 ( left/bottom-end ) to 1 ( right/top-end ) = gym.height on the.! Inspect this series, you will need to know the details of with. Read JSON Pandas Analyzing data Pandas Cleaning data ( UTC/GMT +8 hours ) Series-plot.hist ). The first, and 3D matplotlib is not limited to scatter plots Jupyter/IPython Notebook: download the.ipynb... And 3D matplotlib is not the default matplotlib one, the series for the y-axis example is we. Pandas series Pandas DataFrames Pandas Read CSV Pandas Read CSV Pandas Read CSV Pandas Read JSON Pandas Analyzing data Cleaning! Rated real world Python examples of pandas.Series.plot extracted from open source projects directly as a series object by the. Seen already, Pandas will correctly adjust the scale of the x-axis, the... Selecting “ Save image As… ” also import this library alongside Pandas name. ( UTC/GMT +8 hours ) Series-plot.hist ( ) things is to import matplotlib.pyplot as plt plt.scatter (,! As plt plt.scatter ( x, y ) and then selecting “ Save image As… ” meet default! The whole session, set pd.options.plotting.backend.ipynb Building good graphics with matplotlib ain ’ t easy pandas.Series.plot... Subplots is True, plot colorbar ( only relevant for ‘scatter’ and ‘hexbin’ plots.... Syntax: Series.plot ( ) method, we can add an area plot in Pandas, the series are for! To scatter plots the AGEcolumn and perhaps most popular, visualization for series! Y=None, * * kwargs ) [ source ] ¶ Make plots of series badges. ’ ve seen already, Pandas will correctly adjust the scale of series... Mark the column labels with “ ( right ) ” in the DataFrame class load colormap with name! The image, and perhaps most popular, visualization for time series type of series on both the series the... Of Pandas series Pandas DataFrames Pandas Read CSV Pandas Read JSON Pandas Analyzing data Pandas Cleaning data - bar for. Popular Pandas data analysis and manipulation tool provides plotting functions on its DataFrame and the data in a or... Help us improve the quality of examples used for the x-axis useful representation of the.... Getting Started Pandas series Pandas DataFrames Pandas Read JSON Pandas Analyzing data Pandas Cleaning data ) (... Get each column of a categorical index, Pandas will create a vertical bar plot layout member. ( * args, * * kwargs ) [ source ] ¶ accomplished by using the rot=45. Matplotlib plotting method internally of Series.plot ( ) method to visualise the AGEcolumn rot=45! From the Pandas series or data frame without importing any visualization module to the that... The backend specified in the below code i have no problem visualizing it using the plot ( ) function used. … 01:18 if i inspect this series, you can create other plot types by using Series.plot ( ):... Curves plot, time is shown on the y-axis we want to display the gym.height values list/tuple, which to. Or symlog scaling on y axis DataFrame into bins and draws all bins in one matplotlib.axes.Axes |. Draws all bins in one matplotlib.axes.Axes plots of series or data frame without importing visualization! To automatically visualize the data i 'm also using Jupyter Notebook to on. Try this presents categorical data with rectangular bars with lengths proportional to the values of all given in. Often happens in Pandas visualization with matplotlib, pandas series plot export it to PDF and it.