Update dataXplore

README.md

@@ -220,7 +220,7 @@ As before, CLAI skill will not execute without your permission unless `auto` mod
 
 ## :robot: Want to build your own skills?
 
-[`fixit`](clai/server/plugins/fix_bot)   [`nlc2cmd`](clai/server/plugins/nlc2cmd)   [`helpme`](clai/server/plugins/helpme)   [`howdoi`](clai/server/plugins/howdoi)   [`man page explorer`](clai/server/plugins/manpage_agent)   [`ibmcloud`](clai/server/plugins/ibmcloud)   [`tellina`](clai/server/plugins/tellina)  
+[`fixit`](clai/server/plugins/fix_bot)   [`nlc2cmd`](clai/server/plugins/nlc2cmd)   [`helpme`](clai/server/plugins/helpme)   [`howdoi`](clai/server/plugins/howdoi)   [`man page explorer`](clai/server/plugins/manpage_agent)   [`ibmcloud`](clai/server/plugins/ibmcloud)   [`tellina`](clai/server/plugins/tellina)   [`dataXplore`](clai/server/plugins/dataxplore)  
 
 Project CLAI is intended to rekindle the spirit of AI softbots by providing a plug-and-play framework and simple interface abstractions to the Bash and its underlying operating system. Developers can access the command line through a simple `sense-act` API for rapid prototyping of newer and more complex AI capabilities.
 

clai/server/plugins/dataxplore/README.md

@@ -1,21 +1,35 @@
-# DataXplore
+# dataXplore
 
-`Data-Analytics` `NLP` `Support` `Plots`
+`Analytics` `NLP` `Support`
 
-Data Exploration is one of the well versed topics in the course of Data Analyst/ Scientist and Researcher. For a given data based modeling, one needs to know a) What are the attribute one is looking b) how the attribute can be used for top level analysis. DataXplore Plugin in Project (CLAI) Command Line AI implements few primary tasks on the command line including visualization on a certain terminal. A goto plugin like dataxplore comes handy for myriad of data analysis task for the above effort. 
+Data science has become one of the most popular real-world applications of ML. This skills is targeted specifically 
+toward making the CLI easier to adopt and navigate for data scientists.
 
 ## Implementation
 
-Command usage:- clai dataxplore function csvfilelocation
-e.g. 
-1) `>> clai dataxplore summarize air_quality.csv`, when this command is executed one can view the summary of the give data file. 
-2) `>> clai dataxplore plot air_quality.csv`, when this command is executed one can view the plot of the given data file. 
-#### Execution on test dataset.
-![figure1](https://github.com/madhavanpallan/clai/blob/master/clai/server/plugins/dataxplore/figures/dx_summarize_plot_test.png) 
-#### Execution on air quality dataset.
-![figure2](https://github.com/madhavanpallan/clai/blob/master/clai/server/plugins/dataxplore/figures/dx_summarize_plot_airQuality.png)
+The current version of the skill provides two functionalities: **summarize** and **plot**. 
+"Summarize" utilizes the [describe function](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.describe.html) of the popular 
+[Pandas library](https://pandas.pydata.org/pandas-docs/stable/index.html) to 
+generate a human-readable summary of a specified CSV file; this functionality is intended to allow data scientists
+to quickly examine any data file right from the command line. "Plot" builds on the plot function provided by 
+[MatPlotLib](https://ieeexplore.ieee.org/document/4160265), 
+and the Pillow library [[link](https://pillow.readthedocs.io/en/stable/index.html)] 
+[[link](https://www.pythonware.com/products/pil/)] 
+to generate a plot of a given CSV file. Such functionalities illustrate basic use cases
+of how CLAI can be used as a CLI assistant for data science.
+
+## Example Usage
+
+`>> clai "dataxplore" summarize air_quality.csv` to view the summary of the give data file. 
+
+`>> clai "dataxplore" plot air_quality.csv` to view a plot of the given data file. 
+
+![figure1](https://www.dropbox.com/s/lin379uw2nc0ts9/dx_summarize_plot_test.png?raw=1) 
+
+![figure2](https://www.dropbox.com/s/j4xxme9eaj92mh5/dx_summarize_plot_airQuality.png?raw=1)
+
+Both dataset are courtesy of [pandas](http://pandas.pydata.org/).
 
-*** Both dataset are courtesy from the [pandas](http://pandas.pydata.org/) website.
 ## [xkcd](https://uni.xkcd.com/)
 The contents of any one panel are dependent on the contents of every panel including itself. The graph of panel dependencies is complete and bidirectional, and each node has a loop. The mouseover text has two hundred and forty-two characters.
 

clai/server/plugins/dataxplore/dataxplore.py

@@ -34,27 +34,27 @@ def get_next_action(self, state: State) -> Action:
             logger.info("Command passed in dataxplore: " + command)
             commandStr = str(command)
             commandTokenized = commandStr.split(" ")
-            if len(commandTokenized) == 3:
-                if commandTokenized[1] == 'summarize':
-                    fileName = commandTokenized[2]
+            if len(commandTokenized) == 2:
+                if commandTokenized[0] == 'summarize':
+                    fileName = commandTokenized[1]
                     csvFile = fileName.split(".")
                     if len(csvFile) == 2:
                         if csvFile[1] == 'csv':
-                            path = os.path.abspath(commandTokenized[2])
+                            path = os.path.abspath(fileName)
                             data = pd.read_csv(path)
                             df = pd.DataFrame(data)
                             response = df.describe().to_string()
                         else:
                             response = "We currently support only csv files. Please, Try >> clai dataxplore summarize csvFileLocation "
                     else:
                         response = "Not a supported file format. Please, Try >> clai dataxplore summarize csvFileLocation "
-                elif commandTokenized[1] == 'plot':
-                    fileName = commandTokenized[2]
+                elif commandTokenized[0] == 'plot':
+                    fileName = commandTokenized[1]
                     csvFile = fileName.split(".")
                     if len(csvFile) == 2:
                         if csvFile[1] == 'csv':
                             plt.close('all')
-                            path = os.path.abspath(commandTokenized[2])
+                            path = os.path.abspath(fileName)
                             data = pd.read_csv(path,index_col=0, parse_dates=True)
                             data.plot()
                             plt.savefig('/tmp/claifigure.png')

clai/server/plugins/dataxplore/requirements.txt

@@ -1,5 +1,5 @@
 pandas==1.0.3
 numpy==1.17.2
 matplotlib==3.2.1
-Pillow==2.2.1
+Pillow==7.1.1
 imageloader==0.0.5