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January 6, 2017 10:52
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Stackoverflow data dump analysis\n", | |
"\n", | |
"The goal of this case study is to demonstrate how Postgres, a relational database and Python be used for efficient data analysis. We will be getting our hands dirty with some Postgres syntax (just enough to make our SQL queries efficient and quick) and a couple of Python libraries - `psycopg2` and `sqlalchemy`." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"The data that we would be using is the Stackoverflow data dump, which is downloadable from archive.org: [URL](https://archive.org/details/stackexchange)\n", | |
"\n", | |
"Data dump that we have presently is from September-2016 and we need only the following files from the collection : \n", | |
"- stackoverflow.com-Badges.7z\n", | |
"- stackoverflow.com-Comments.7z\n", | |
"- stackoverflow.com-PostHistory.7z\n", | |
"- stackoverflow.com-PostLinks.7z\n", | |
"- stackoverflow.com-Posts.7z\n", | |
"- stackoverflow.com-Tags.7z\n", | |
"- stackoverflow.com-Users.7z\n", | |
"- stackoverflow.com-Votes.7z\n", | |
"\n", | |
"You can download these files via torrent OR by downloading them directly." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### Before we begin" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"The overall structure of our data querying mechanism would be as follows. \n", | |
"\n", | |
"1. We identify the columns that will provide us with the data we need for analysis from the Postgres database.\n", | |
"2. Next, we translate this into a Postgres query.\n", | |
"3. And, we pass this through Pandas's `read_sql` function to obtain the data.\n", | |
"\n", | |
"So, let's begin with installing Postgres." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### Installing Postgres" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"If Postgres is not already present on your Operating System, you can download an executable from the website [here](https://www.postgresql.org/download/). \n", | |
"\n", | |
"Once you through with installing Postgres on your computer, you'd have created a password for the default user _postgres_.\n", | |
"\n", | |
"We will use that account for authentication, so let's keep that handy." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### Installing dependencies\n", | |
"\n", | |
"We will be using two Python packages `psycopg2` and `sqlalchemy` to connect and run our queries against Postgres.\n", | |
"Although, `pyscopg2` alone would suffice, it is basically meant to be used to send SQL statements to the database. \n", | |
"\n", | |
"`sqlalchemy` on the other hand, is a Pythonic way of high-performance database access across a variety of databases. And because of this it would be a good idea to make it part of our conversation. We will limit our use of SQLAlchemy constructs to the bare necessities but you could dig deeper beginning with the basic tutorial [here](http://docs.sqlalchemy.org/en/latest/orm/tutorial.html).\n", | |
"\n", | |
"\n", | |
"For now, let's run `pip install psycopg2 sqlalchemy` from the command line to install these dependencies.\n", | |
"\n", | |
"Now let's import the packages we need:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": { | |
"collapsed": false, | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"c:\\Anaconda\\lib\\site-packages\\matplotlib\\__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n", | |
" warnings.warn(self.msg_depr % (key, alt_key))\n" | |
] | |
} | |
], | |
"source": [ | |
"import psycopg2\n", | |
"import pandas as pd\n", | |
"import sqlalchemy as sa\n", | |
"import time\n", | |
"import seaborn as sns\n", | |
"import re\n", | |
"\n", | |
"sns.set_context(\"talk\")\n", | |
"from matplotlib import pyplot as plt\n", | |
"%matplotlib inline" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Please make sure that you are on the same package versions as shown below:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": { | |
"collapsed": false, | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Pandas version: 0.18.1\n", | |
"Pyscopg2 version: 2.6.2 (dt dec pq3 ext lo64)\n", | |
"Sqlalchemy version: 1.0.9\n" | |
] | |
} | |
], | |
"source": [ | |
"print \"Pandas version: \", pd.__version__\n", | |
"print \"Pyscopg2 version: \", psycopg2.__version__\n", | |
"print \"Sqlalchemy version: \", sa.__version__" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### Creating the database\n", | |
"\n", | |
"First, use `psql -U postgres` to login into the Postgres database\n", | |
"\n", | |
"\n", | |
"<img src=\"postgres_login.png\" style=\"float:left;\" />" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"\n", | |
"Once you are successfully logged in, you can use the `CREATE DATABASE` statement to create a new database. The 'CREATE DATABASE' statement tells Postgres to create a database with the name that follows that statement. For example, the following statement creates a new database called 'stackoverflow'.\n", | |
"\n", | |
"\n", | |
"<img src=\"postgres_create_db.png\" style=\"float:left;\" />" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### Importing data \n", | |
"\n", | |
"We are going to use a python script to import these stackoverflow xml files into Postgres tables under the _stackoverflow_ database that you have already created above. \n", | |
"\n", | |
"Please follow the below steps to import the data:\n", | |
"\n", | |
"1. The stackoverflow dumps are in .7z format and you'll need 7-zip to extract the xml files from them. You can install 7-zip from [here](http://www.7-zip.org/download.html). \n", | |
"\n", | |
"2. The script and the accompanying files can be downloaded from this [github repository](https://github.com/fx86/stackexchange-dump-to-postgres). Download it and unzip it into a folder.\n", | |
"\n", | |
"3. Place all the extracted xml files within the folder that you have downloaded in step 2.\n", | |
"\n", | |
"4. Open `load_into_pg.py` script in a code editor and change the default values of username and password in lines 137 and 142. This will save you from having to pass a username and password, each time when you run the script on the command line.\n", | |
"\n", | |
"5. After completing the above steps, the following commands should be executed to import the data - \n", | |
"\n", | |
"```python load_into_pg.py Badges\n", | |
"python load_into_pg.py Posts\n", | |
"python load_into_pg.py Tags (not present in earliest dumps)\n", | |
"python load_into_pg.py Users\n", | |
"python load_into_pg.py Votes\n", | |
"python load_into_pg.py PostHistory\n", | |
"python load_into_pg.py Comments\n", | |
"python load_into_pg.py PostLinks\n", | |
"```\n", | |
"\n", | |
"Follow is the type of output you should expect to see -\n", | |
"\n", | |
"<img src=\"postgres_importing_data.png\" style=\"float:left;\" />\n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### About the data-import mechanism\n", | |
"\n", | |
"The `load_into_pg.py` script implicitly executes a sql file before and after importing each XML file. \n", | |
"\n", | |
"The SQL file that is run before importing the data, ends with file name `_pre.sql` and it creates the table required for storing data from that XML file.\n", | |
"\n", | |
"The SQL file which is executed after importing the data ends with a file name `_post.sql` and it creates indexes on the created table to make our database queries faster.\n", | |
"\n", | |
"If you'd like to alter any of these sql files, you can find them in the `sql/` directory within the downloaded github folder." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### Connecting to the database\n", | |
"\n", | |
"SQLAlchemy provides a `create_engine` method which takes a connection string and returns a connection object. \n", | |
" We will then use this connection object, to pass the query to Postgres with Pandas's `read_sql`.\n", | |
"\n", | |
"The `connection_string` is just a python string which tells `create_engine` method - which Postgres database to connect to, what IP address is it running at, and what user credentials to connect with." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"postgresql://postgres:fibinse@localhost:5432/stackoverflow\n" | |
] | |
} | |
], | |
"source": [ | |
"parameters = { \n", | |
" 'username': 'postgres', \n", | |
" 'password': 'fibinse',\n", | |
" 'server': 'localhost',\n", | |
" 'database': 'stackoverflow'\n", | |
" }\n", | |
"connection_string = 'postgresql://{username}:{password}@{server}:5432/{database}'.format(**parameters)\n", | |
"\n", | |
"# Now, let's see what our connection string actually looks like:\n", | |
"print connection_string" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"collapsed": true | |
}, | |
"source": [ | |
"What we have done here is that we have created a dictionary called `parameters` which contains all user-input we need to form a complete connection string. We then embed these values into a connection string format and store it into a variable called `connection_string`." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"#Let's use the connection string above to create a connection engine\n", | |
"engine = sa.create_engine(connection_string, encoding=\"utf-8\")" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Now, let's see what tables have been created in the `stackoverflow` database. The tables within the database can be listed by running a Postgres query through Pandas's `read_sql` function with the following basic format:\n", | |
"\n", | |
"`pd.read_sql(postgres-query-here, SQLAlchemy-engine)`" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Tables listed in your stackoverflow database are: \n", | |
"\n", | |
"[u'accepted_answer_id', u'badges', u'comments', u'posthistory', u'postlinks', u'posts', u'qn_ans_timing', u'tags', u'users', u'votes']\n" | |
] | |
} | |
], | |
"source": [ | |
"table_list = pd.read_sql('''SELECT table_name FROM information_schema.tables \n", | |
"WHERE table_type = 'BASE TABLE' \n", | |
"AND table_schema = 'public'\n", | |
"ORDER BY table_type, table_name;''',con=engine)['table_name'].tolist()\n", | |
"\n", | |
"print \"Tables listed in your stackoverflow database are: \\n\\n\", table_list" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Before going on further, a quick readup on Postgres SQL's syntax is advised - [URL](!https://www.postgresql.org/docs/9.0/static/sql.html)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"#Counts new user registration by year\n", | |
"user_count_by_yr = '''select extract(year from creationdate) as year, count(id) as user_count from users group by 1;'''\n", | |
"\n", | |
"def convert_ts(temp):\n", | |
" '''changes year column of DataFrame'''\n", | |
" return temp.year.apply(lambda v: pd.to_datetime('01-01-{:d}'.format(int(v))))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"metadata": { | |
"collapsed": false, | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.axes._subplots.AxesSubplot at 0x1b2d4748>" | |
] | |
}, | |
"execution_count": 13, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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QEWmm9uwvd4OEEyZy84uobT/GQesluqXTJVPrJaKF1+PhsjMMPr+fz5duZ+53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\nAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1b2d4240>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"temp = pd.read_sql(user_count_by_yr, engine)\n", | |
"\n", | |
"temp['year'] = convert_ts(temp)\n", | |
"temp.set_index('year').plot(figsize=(8,6), title='Number of users per year')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Where does Python rank " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 313, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"temp = pd.read_sql(\"select * from tags\", engine)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 314, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Python ranks : 7 \n" | |
] | |
} | |
], | |
"source": [ | |
"temp['rank'] = temp['count'].rank(ascending=0).astype(int)\n", | |
"print \"Python ranks : {:.0f} \".format(temp.loc[temp['tagname'] == 'python','rank'].values[0])" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"What are the other languages that rank higher ? " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 315, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"rank\n", | |
"1 javascript\n", | |
"2 java\n", | |
"3 c#\n", | |
"4 php\n", | |
"5 android\n", | |
"6 jquery\n", | |
"7 python\n", | |
"Name: tagname, dtype: object" | |
] | |
}, | |
"execution_count": 315, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"temp[temp['rank']<=7].sort_values('rank', ascending=True).set_index('rank')['tagname']" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### How did the top 20 most popular programming language fare across the years ? " | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"According to IEEE Spectrum, the top 10 programming languages are:\n", | |
"C, Java, Python, C++, R, C#, PHP, Javascript, Ruby and Go\n", | |
"\n", | |
"[src - http://spectrum.ieee.org/computing/software/the-2016-top-programming-languages]\n", | |
"\n", | |
"Let's see how their year-on growth in the number of posts has been -" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 22, | |
"metadata": { | |
"collapsed": false, | |
"scrolled": true | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"['c', 'java', 'python', 'c++', 'r', 'c#', 'php', 'javascript', 'ruby', 'go']" | |
] | |
}, | |
"execution_count": 22, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"# counts programming language posts by year\n", | |
"pl_count_by_yr = '''select cast(extract(year from creationdate) as integer) as Year, count(id) as Count, \n", | |
" '{0}' as Language from posts \n", | |
" where \"tags\" like '%%<{0}>%%' group by year'''\n", | |
"\n", | |
"top_20_languages = map(str.strip, 'C, Java, Python, C++, R, C#, PHP, Javascript, Ruby , Go'.split(','))\n", | |
"\n", | |
"#let's convert them all into their lower cases as it is in the data\n", | |
"top_20_languages = map(str.lower, top_20_languages)\n", | |
"\n", | |
"top_20_languages" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 26, | |
"metadata": { | |
"collapsed": false, | |
"scrolled": true | |
}, | |
"outputs": [], | |
"source": [ | |
"temp = pd.concat([\n", | |
" pd.read_sql(pl_count_by_yr.format(tag), engine)\n", | |
" for tag in top_20_languages\n", | |
" ])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 27, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"temp['year'] = convert_ts(temp)\n", | |
"temp['growth'] = temp.groupby('language')['count'].transform(pd.Series.pct_change)\n", | |
"temp = temp.pivot(index='year', columns='language', values='growth')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 28, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.axes._subplots.AxesSubplot at 0x1b6598d0>" | |
] | |
}, | |
"execution_count": 28, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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gThRFX1rv7RTwPHBAGIZbRVG0pHQ58ORg7t/W1kmhUJ65C/FUHIC1qzpZvXpQ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\niMjQKYSKiIiIyNAphIqIiIjI0P3/KQcpOvhXrpIAAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1b502400>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"colors = ['#a6cee3','#1f78b4','#b2df8a','#33a02c','#fb9a99','#e31a1c','#fdbf6f','#ff7f00','#cab2d6', 'purple']\n", | |
"temp[1:].plot(color=colors, figsize=(11,9))" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Number of R questions seems to have nose-dived. But 2008-10 were the first years of StackOverflow's starting up and so let's see the patterns after things stabilised." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 29, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.text.Text at 0x1b8a5128>" | |
] | |
}, | |
"execution_count": 29, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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uAB3NHTRWNsc5IhEREUkE2dk5zJw5myefnMukSWO49967uPbaP5OdrelFe4Nq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\nXEmSJBXlf0BAHcbDqyinAAAAAElFTkSuQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1b502588>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"ax = temp[2:-1].plot(color=colors, figsize=(11,9), title='Change in posts by languages')\n", | |
"ax.set_ylabel('Year-on-year growth in questions asked (in %)')\n", | |
"ax.set_xlabel('Years')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Even between 2010 and 2015, C++ seems to have lost ground. While the number of questions in C++ have declined, the same tagged with the Go programming language, rose. Generally, the number of posts has steadily declined." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Very curious to see how R and Python fared" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 30, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.text.Text at 0x1d1afdd8>" | |
] | |
}, | |
"execution_count": 30, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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4M8Z4zkFLVSGW5h8M6+0mk3GfOkmSpFLY17ZdDwAPHKQsFSe/Qts32M/mnb3M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\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1d19c470>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"ax = temp[['python', 'r']][1:].plot(figsize=(11,9), title='Python vs R')\n", | |
"ax.set_ylabel('Year-on-year growth in posts asked (in %)')\n", | |
"ax.set_xlabel('Years')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### What are the most popular tags under Python ?" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Though the number of posts in Python has declined over the years, is the decline uniform across all the other sub-tags in Python questions ? " | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"To do that, Let's list out all the tags that appear with the posts that are tagged with Python from the stackoverflow data." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 35, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"# gets all tags from questions which are tagged with Python\n", | |
"all_python_tags_query = '''\n", | |
" select creationdate, tags\n", | |
" from posts \n", | |
" where \"tags\" like '%%<python>%%';\n", | |
" '''\n", | |
"\n", | |
"temp_x = temp = pd.read_sql(all_python_tags_query, engine)\n", | |
"temp['tags'] = temp['tags'].apply(lambda v: v.replace('><', ',').strip('>').strip('<').split(','))" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Each question may contain more than just the python package name, which will result in a lot of data-noise. \n", | |
"\n", | |
"We can filter this noise out with a more accurate list of popular Python packages.\n", | |
"Below, we will take out the 500 most downloaded Python packages from an external source, and use it to filter out the stackoverflow data." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 34, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"c:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:7: FutureWarning: currently extract(expand=None) means expand=False (return Index/Series/DataFrame) but in a future version of pandas this will be changed to expand=True (return DataFrame)\n" | |
] | |
} | |
], | |
"source": [ | |
"# makes a list of top 500 most downloaded python packages. Source - http://pypi-ranking.info/alltime\n", | |
"most_downloaded_packages = []\n", | |
"URL = 'http://pypi-ranking.info/alltime?page={:d}'\n", | |
"for i in xrange(1, 11):\n", | |
" temp_url = URL.format(i)\n", | |
" most_downloaded_packages.extend(\n", | |
" pd.read_html(temp_url)[0][1].str.extract(r'(\\w+)').tolist()\n", | |
" )\n", | |
" " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 36, | |
"metadata": { | |
"collapsed": false, | |
"scrolled": true | |
}, | |
"outputs": [], | |
"source": [ | |
"def make_tag_df(row):\n", | |
" '''makes a table with programming tags as columns and creationdate as index'''\n", | |
" data = {tag: 1 for tag in row['tags'] if tag in most_downloaded_packages[:200]}\n", | |
" data.update({'creationdate': row['creationdate']})\n", | |
" \n", | |
" return pd.Series(data) \n", | |
"\n", | |
"temp = temp.apply(make_tag_df, axis=1)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 32, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"def lookup2(s):\n", | |
"\t'''uses .map() to speedily convert datetime strings to timestamps'''\n", | |
"\tdates = {date:pd.to_datetime(date) for date in s.unique()}\n", | |
"\treturn s.map(dates)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 18, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"c:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:4: FutureWarning: how in .resample() is deprecated\n", | |
"the new syntax is .resample(...).sum()\n" | |
] | |
} | |
], | |
"source": [ | |
"temp['creationdate'] = lookup2(temp['creationdate'])\n", | |
"temp = temp.set_index('creationdate')\n", | |
"\n", | |
"monthly_sum = temp.resample('M', how='sum')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Let's examine how the top 10 python packages have been trending across the years" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 19, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"top_10_python_packages = monthly_sum.mean().rank().sort_values(ascending=False)[:10].index\n", | |
"temp = monthly_sum[top_10_python_packages]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 89, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.text.Text at 0x28c8b438>" | |
] | |
}, | |
"execution_count": 89, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
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CwOI/gG4Btc8A3TEDtux1egYs74F53rTV5naYWmt/KzDlEnXVgIsDlASt4oBmnfp6HPiX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\nDINnn30Zt9tNRUU5//nPCz3OkZ2dw9y5R3DffY+E7quqquxRptCbtLQ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PtZ6Ba0DXeXdL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\nJ4NWSZIkSZIk6Yz3/wDzul/gqGZvOAAAAABJRU5ErkJggg==\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x25d565f8>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"ax = temp.plot(figsize=(11,9), title='Questions raised on top 10 python packages since 2008')\n", | |
"ax.set_ylabel('Number of questions asked')\n", | |
"ax.set_xlabel('Years')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Look at Pandas go! Hurray ?\n", | |
"\n", | |
"Now that we know how the most used packages have been trending. Let's examine the questions asked against these." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 120, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"ratio_qn_answer_count = '''select cast(extract(year from creationdate) as integer) as Year, count(id) as Total, \n", | |
" count(acceptedanswerid) as Answered, '{0}' as Package\n", | |
" from posts\n", | |
" where \"tags\" like '%%<{0}>%%'\n", | |
" group by year;\n", | |
" '''" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"The above Postgres query will give us the Year, Total posts and number of questions answered for each package." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 121, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"temp = pd.concat([\n", | |
" pd.read_sql(ratio_qn_answer_count.format(package), engine)\n", | |
" for package in top_10_python_packages\n", | |
" ])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 128, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"qns_answered = temp.groupby('package').sum().reset_index().drop('year', 1)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 171, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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iPDAPuAx4N/Ak8LGU0mciYirwMaANGA38Gjg1pbQiIq4BHgWmVv/8FXh7SulP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\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x26be2438>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"ax = qns_answered.set_index('package').plot(kind='barh', color=['#9ecae1', '#dd1c77'], figsize=(11, 9))" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"`Django`, `Selenium` and `ipython` seem to have more than 50% of unanswered questions." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"If you are someoone interested in Stackoverflow's voting system, then you'd be interested in looking at when the questions are mostly asked." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 20, | |
"metadata": { | |
"collapsed": false, | |
"scrolled": true | |
}, | |
"outputs": [], | |
"source": [ | |
"top_20_python_packages = monthly_sum.mean().rank().sort_values(ascending=False)[:21].index.tolist()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 21, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"[u'python',\n", | |
" u'django',\n", | |
" u'pandas',\n", | |
" u'numpy',\n", | |
" u'scipy',\n", | |
" u'selenium',\n", | |
" u'pip',\n", | |
" u'ipython',\n", | |
" u'celery',\n", | |
" u'lxml',\n", | |
" u'virtualenv',\n", | |
" u'tornado',\n", | |
" u'pymongo',\n", | |
" u'argparse',\n", | |
" u'decorator',\n", | |
" u'docker',\n", | |
" u'boto',\n", | |
" u'setuptools',\n", | |
" u'ssl',\n", | |
" u'elasticsearch',\n", | |
" u'paramiko']" | |
] | |
}, | |
"execution_count": 21, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"top_20_python_packages" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Since `decorator` is an a popular Python feauture as well as a package (we were surprised too!), we will `pop` it out of the list, since, we cannot be sure if this refers to the package. This is why we selected the top 21 items above. " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"for pkg in ['decorator', 'python']:\n", | |
" if pkg in top_20_python_packages:\n", | |
" top_20_python_packages.pop(top_20_python_packages.index(pkg))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 27, | |
"metadata": { | |
"collapsed": false, | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.axes._subplots.AxesSubplot at 0xc641c9b0>" | |
] | |
}, | |
"execution_count": 27, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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PuwOo75iu4z20N3nDa0mSJM0ziy5JkqQatMzwoiRJ0ux0yOiiPV2SJEl1sKdL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\nBQ66zMzMzCpw0GVmZmZWwb8B+bxf3+gtn8sAAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0xc6d5bc50>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"qns_count_by_hour = '''select cast(extract(hour from creationdate) as integer) as Hour, count(id) as Total, '{0}' as Package\n", | |
" from posts\n", | |
" where \"tags\" like '%%<{0}>%%'\n", | |
" group by Hour;'''\n", | |
"\n", | |
"temp = pd.concat([\n", | |
" pd.read_sql(qns_count_by_hour.format(package), engine)\n", | |
" for package in top_20_python_packages\n", | |
" ])\n", | |
"temp = temp.pivot( 'package', 'hour', 'total')\n", | |
"\n", | |
"sns.set_context('paper')\n", | |
"plt.figure(figsize=(11, 8))\n", | |
"sns.heatmap(temp/temp.max(), fmt=\"d\", linewidths=.5)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"We've normalised the question counts across the plot to take care of the fact that one tag may have way more number of questions than any other. This helps with bringing out the patterns in the question-posting manner.\n", | |
"\n", | |
"Bulk of the questions being posted are in the afternoon-evening time-gap. The peak hour may vary slightly across the particular package and its demography of usage." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 30, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.axes._subplots.AxesSubplot at 0xc5799940>" | |
] | |
}, | |
"execution_count": 30, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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OYEmSpFpzD5YkSZIssCRJklotpcAqpfyslLJqxtiSJKlvaST9L1PWDNZ3gJ1LKWeWUpZN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\nrkJggg==\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0xc6d21da0>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"ans_count_by_hour = '''select cast(extract(hour from ans_creation_ts) as integer) as Hour, count(id) as Total, '{0}' as Package\n", | |
" from qn_ans_timing\n", | |
" where \"tags\" like '%%<{0}>%%'\n", | |
" group by Hour;'''\n", | |
"\n", | |
"temp = pd.concat([\n", | |
" pd.read_sql(ans_count_by_hour.format(package), engine)\n", | |
" for package in top_20_python_packages\n", | |
" ])\n", | |
"temp = temp.pivot('hour', 'package', 'total')\n", | |
"\n", | |
"sns.set_context('paper')\n", | |
"plt.figure(figsize=(11, 8))\n", | |
"sns.heatmap(temp/temp.max(), fmt=\"d\", linewidths=.5)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"What we learnt:\n", | |
"\n", | |
"1. The number of people answering questions tagged with python packages - `paramiko` and `setuptools` is least around 2 AM in the morning. \n", | |
"\n", | |
"2. All packages except `paramiko` have most questions being answered between 1PM and 5PM.\n", | |
"\n", | |
"3. Questions tagged with `django`, `docker`, `elasticsearch` et al start seeing answers coming in starting at 9AM in the morning." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"collapsed": false | |
}, | |
"source": [ | |
"All in all : the best time to get answers to questions is between 12pm - 5pm across the most Python packages." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"collapsed": true | |
}, | |
"source": [ | |
"### Summary" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"We have seen how we can use Python and the Postgres database to develop an interface from which we can query for insights.\n", | |
"\n", | |
"The questions that we have tried to answer above are at best the tip of an iceberg. For more interesting insights, please see \n", | |
"- http://meta.stackexchange.com/questions/7682/what-interesting-stats-can-i-obtain-from-the-stack-overflow-data-dump\n", | |
" " | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python [Root]", | |
"language": "python", | |
"name": "Python [Root]" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.5.2" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 0 | |
} |
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