From 5e8966df94f95eac28121ba5a4d3f6c6a0a28788 Mon Sep 17 00:00:00 2001 From: CherryKitten Date: Sat, 3 Dec 2022 17:20:48 +0100 Subject: [PATCH] Add Time Series Visualizer --- .../README.md | 3 + .../bar_plot.png | Bin 0 -> 41512 bytes .../box_plot.png | Bin 0 -> 52374 bytes .../examples/Figure_1.png | Bin 0 -> 276213 bytes .../examples/Figure_2.png | Bin 0 -> 79476 bytes .../examples/Figure_3.png | Bin 0 -> 85555 bytes .../fcc-forum-pageviews.csv | 1305 +++++++++++++++++ .../line_plot.png | Bin 0 -> 198244 bytes .../main.py | 11 + .../poetry.lock | 131 ++ .../pyproject.toml | 11 + .../test_module.py | 123 ++ .../time_series_visualizer.py | 95 ++ 13 files changed, 1679 insertions(+) create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/README.md create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/bar_plot.png create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/box_plot.png create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/examples/Figure_1.png create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/examples/Figure_2.png create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/examples/Figure_3.png create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/fcc-forum-pageviews.csv create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/line_plot.png create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/main.py create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/poetry.lock create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/pyproject.toml create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/test_module.py create mode 100644 9-data-analysis-python/4-page-view-time-series-visualizer/time_series_visualizer.py diff --git a/9-data-analysis-python/4-page-view-time-series-visualizer/README.md b/9-data-analysis-python/4-page-view-time-series-visualizer/README.md new file mode 100644 index 0000000..9b96017 --- /dev/null +++ b/9-data-analysis-python/4-page-view-time-series-visualizer/README.md @@ -0,0 +1,3 @@ +# Page View Time Series Visualizer + +This is the boilerplate for the Page View Time Series Visualizer project. Instructions for building your project can be found at https://www.freecodecamp.org/learn/data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer diff --git a/9-data-analysis-python/4-page-view-time-series-visualizer/bar_plot.png b/9-data-analysis-python/4-page-view-time-series-visualizer/bar_plot.png new file mode 100644 index 0000000000000000000000000000000000000000..7598f1087b31a9b78959e2fb5d2b85de73870129 GIT binary patch literal 41512 zcmeFad0dodmIYkKM3We`lNgN~Cb8TVq6iAIn55Mdil_)Es~aGTqAViHW{jF>6fH!Q zt=s@*RS*?LFd9WbK-s|sl}!OfLH4D-bE=9gGd;iV>6zd6eSZwUnQoh<>V2R0dG0;; zoO5seykzl$fgg_eP#_Qt6n+2qWdcF}djdh<=kNE!cXnG^N8!ITT<5KDHFUCZbzkjl zEzn=>y2;VW)zNOv7h9~IUF@7Tsw%51&zSnfdRNy?E}AMT8-D)cjra-u>*pu)p$87V~CC zEZNaFqisufDiix>fF70W(U|%@dt+vErfHY7rTHU!JwR5BC zrHvN(*0SFdj6CT6*kgiKM_!=)m5)lEynk=?*h_e+3GL~+KU!N`tCUk zMX_eXn))7}+(*-~vZuYIB_UykBBCA?T6TUY-92oi{8a^W|6x>3={vej8f%_Be-c$L6?i9I9--B0qe|{vh=YK|`mRp61<6 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Start by reading README.md +import time_series_visualizer +from unittest import main + +# Test your function by calling it here +time_series_visualizer.draw_line_plot() +time_series_visualizer.draw_bar_plot() +time_series_visualizer.draw_box_plot() + +# Run unit tests automatically +main(module='test_module', exit=False) \ No newline at end of file diff --git a/9-data-analysis-python/4-page-view-time-series-visualizer/poetry.lock b/9-data-analysis-python/4-page-view-time-series-visualizer/poetry.lock new file mode 100644 index 0000000..8ffbd1f --- /dev/null +++ b/9-data-analysis-python/4-page-view-time-series-visualizer/poetry.lock @@ -0,0 +1,131 @@ +[[package]] +category = "main" +description = "Composable style cycles" +name = "cycler" +optional = false +python-versions = "*" +version = "0.10.0" + +[package.dependencies] +six = "*" + +[[package]] +category = "main" +description = "A fast implementation of the Cassowary constraint solver" +name = "kiwisolver" +optional = false +python-versions = ">=3.6" +version = "1.2.0" + +[[package]] +category = "main" +description = "Python plotting package" +name = "matplotlib" +optional = false +python-versions = ">=3.6" +version = "3.2.1" + +[package.dependencies] +cycler = ">=0.10" +kiwisolver = ">=1.0.1" +numpy = ">=1.11" +pyparsing = ">=2.0.1,<2.0.4 || >2.0.4,<2.1.2 || >2.1.2,<2.1.6 || >2.1.6" +python-dateutil = ">=2.1" + +[[package]] +category = "main" +description = "NumPy is the fundamental package for array computing with Python." +name = "numpy" +optional = false +python-versions = ">=3.5" +version = "1.18.5" + +[[package]] +category = "main" +description = "Powerful data structures for data analysis, time series, and statistics" +name = "pandas" +optional = false +python-versions = ">=3.6.1" +version = "1.0.4" + +[package.dependencies] +numpy = ">=1.13.3" +python-dateutil = ">=2.6.1" +pytz = ">=2017.2" + +[[package]] +category = "main" +description = "Python parsing module" +name = "pyparsing" +optional = false +python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +version = "2.4.7" + +[[package]] +category = "main" +description = "Extensions to the standard Python datetime module" +name = "python-dateutil" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +version = "2.8.1" + +[package.dependencies] +six = ">=1.5" + +[[package]] +category = "main" +description = "World timezone definitions, modern and historical" +name = "pytz" +optional = false +python-versions = "*" +version = "2020.1" + +[[package]] +category = "main" +description = "SciPy: Scientific Library for Python" +name = "scipy" +optional = false +python-versions = ">=3.5" +version = "1.4.1" + +[package.dependencies] +numpy = ">=1.13.3" + +[[package]] +category = "main" +description = "seaborn: statistical data visualization" +name = "seaborn" +optional = false +python-versions = ">=3.6" +version = "0.10.1" + +[package.dependencies] +matplotlib = ">=2.1.2" +numpy = ">=1.13.3" +pandas = ">=0.22.0" +scipy = ">=1.0.1" + +[[package]] +category = "main" +description = "Python 2 and 3 compatibility utilities" +name = "six" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" +version = "1.15.0" + +[metadata] +content-hash = "4e8082311e9378f77d7a1accb8cd080faf04d14d5f7beba06a8e2f950698f9f3" +python-versions = "^3.7" + +[metadata.hashes] +cycler = ["1d8a5ae1ff6c5cf9b93e8811e581232ad8920aeec647c37316ceac982b08cb2d", "cd7b2d1018258d7247a71425e9f26463dfb444d411c39569972f4ce586b0c9d8"] +kiwisolver = ["03662cbd3e6729f341a97dd2690b271e51a67a68322affab12a5b011344b973c", "18d749f3e56c0480dccd1714230da0f328e6e4accf188dd4e6884bdd06bf02dd", "247800260cd38160c362d211dcaf4ed0f7816afb5efe56544748b21d6ad6d17f", "443c2320520eda0a5b930b2725b26f6175ca4453c61f739fef7a5847bd262f74", "4eadb361baf3069f278b055e3bb53fa189cea2fd02cb2c353b7a99ebb4477ef1", "556da0a5f60f6486ec4969abbc1dd83cf9b5c2deadc8288508e55c0f5f87d29c", "603162139684ee56bcd57acc74035fceed7dd8d732f38c0959c8bd157f913fec", 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"ef627986941b5edd1ed74ba89ca43196ed197f1a206a3f18cc9faf2fb84fd675", "f718a7949d1c4f622ff548c572e0c03440b49b9531ff00e4ed5738b459f011e8"] +pandas = ["034185bb615dc96d08fa13aacba8862949db19d5e7804d6ee242d086f07bcc46", "0c9b7f1933e3226cc16129cf2093338d63ace5c85db7c9588e3e1ac5c1937ad5", "1f6fcf0404626ca0475715da045a878c7062ed39bc859afc4ccf0ba0a586a0aa", "1fc963ba33c299973e92d45466e576d11f28611f3549469aec4a35658ef9f4cc", "29b4cfee5df2bc885607b8f016e901e63df7ffc8f00209000471778f46cc6678", "2a8b6c28607e3f3c344fe3e9b3cd76d2bf9f59bc8c0f2e582e3728b80e1786dc", "2bc2ff52091a6ac481cc75d514f06227dc1b10887df1eb72d535475e7b825e31", "415e4d52fcfd68c3d8f1851cef4d947399232741cc994c8f6aa5e6a9f2e4b1d8", "519678882fd0587410ece91e3ff7f73ad6ded60f6fcb8aa7bcc85c1dc20ecac6", "51e0abe6e9f5096d246232b461649b0aa627f46de8f6344597ca908f2240cbaa", "698e26372dba93f3aeb09cd7da2bb6dd6ade248338cfe423792c07116297f8f4", "83af85c8e539a7876d23b78433d90f6a0e8aa913e37320785cf3888c946ee874", "982cda36d1773076a415ec62766b3c0a21cdbae84525135bdb8f460c489bb5dd", "a647e44ba1b3344ebc5991c8aafeb7cca2b930010923657a273b41d86ae225c4", "b35d625282baa7b51e82e52622c300a1ca9f786711b2af7cbe64f1e6831f4126", "bab51855f8b318ef39c2af2c11095f45a10b74cbab4e3c8199efcc5af314c648"] +pyparsing = ["c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1", "ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"] +python-dateutil = ["73ebfe9dbf22e832286dafa60473e4cd239f8592f699aa5adaf10050e6e1823c", "75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"] +pytz = ["a494d53b6d39c3c6e44c3bec237336e14305e4f29bbf800b599253057fbb79ed", "c35965d010ce31b23eeb663ed3cc8c906275d6be1a34393a1d73a41febf4a048"] +scipy = ["00af72998a46c25bdb5824d2b729e7dabec0c765f9deb0b504f928591f5ff9d4", "0902a620a381f101e184a958459b36d3ee50f5effd186db76e131cbefcbb96f7", "1e3190466d669d658233e8a583b854f6386dd62d655539b77b3fa25bfb2abb70", "2cce3f9847a1a51019e8c5b47620da93950e58ebc611f13e0d11f4980ca5fecb", "3092857f36b690a321a662fe5496cb816a7f4eecd875e1d36793d92d3f884073", "386086e2972ed2db17cebf88610aab7d7f6e2c0ca30042dc9a89cf18dcc363fa", "71eb180f22c49066f25d6df16f8709f215723317cc951d99e54dc88020ea57be", "770254a280d741dd3436919d47e35712fb081a6ff8bafc0f319382b954b77802", "787cc50cab3020a865640aba3485e9fbd161d4d3b0d03a967df1a2881320512d", "8a07760d5c7f3a92e440ad3aedcc98891e915ce857664282ae3c0220f3301eb6", "8d3bc3993b8e4be7eade6dcc6fd59a412d96d3a33fa42b0fa45dc9e24495ede9", "9508a7c628a165c2c835f2497837bf6ac80eb25291055f56c129df3c943cbaf8", "a144811318853a23d32a07bc7fd5561ff0cac5da643d96ed94a4ffe967d89672", "a1aae70d52d0b074d8121333bc807a485f9f1e6a69742010b33780df2e60cfe0", "a2d6df9eb074af7f08866598e4ef068a2b310d98f87dc23bd1b90ec7bdcec802", "bb517872058a1f087c4528e7429b4a44533a902644987e7b2fe35ecc223bc408", "c5cac0c0387272ee0e789e94a570ac51deb01c796b37fb2aad1fb13f85e2f97d", "cc971a82ea1170e677443108703a2ec9ff0f70752258d0e9f5433d00dda01f59", "dba8306f6da99e37ea08c08fef6e274b5bf8567bb094d1dbe86a20e532aca088", "dc60bb302f48acf6da8ca4444cfa17d52c63c5415302a9ee77b3b21618090521", "dee1bbf3a6c8f73b6b218cb28eed8dd13347ea2f87d572ce19b289d6fd3fbc59"] +seaborn = ["2d1a0c9d6bd1bc3cadb0364b8f06540f51322a670cf8438d0fde1c1c7317adc0", "c901ce494541fb4714cfa7db79d0232dc3f4c4dfd3f273bacf17816084df5b53"] +six = ["30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259", "8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced"] diff --git a/9-data-analysis-python/4-page-view-time-series-visualizer/pyproject.toml b/9-data-analysis-python/4-page-view-time-series-visualizer/pyproject.toml new file mode 100644 index 0000000..d1bf0b6 --- /dev/null +++ b/9-data-analysis-python/4-page-view-time-series-visualizer/pyproject.toml @@ -0,0 +1,11 @@ +[tool] +[tool.poetry] +authors = ["Your Name "] +name = "root" +version = "0.0.0" +description = "" + +[tool.poetry.dependencies] +pandas = "*" +python = "^3.7" +seaborn = "*" diff --git a/9-data-analysis-python/4-page-view-time-series-visualizer/test_module.py b/9-data-analysis-python/4-page-view-time-series-visualizer/test_module.py new file mode 100644 index 0000000..51b0946 --- /dev/null +++ b/9-data-analysis-python/4-page-view-time-series-visualizer/test_module.py @@ -0,0 +1,123 @@ +import unittest +import time_series_visualizer +import matplotlib as mpl + +class DataCleaningTestCase(unittest.TestCase): + def test_data_cleaning(self): + actual = int(time_series_visualizer.df.count(numeric_only=True)) + expected = 1238 + self.assertEqual(actual, expected, "Expected DataFrame count after cleaning to be 1238.") + +class LinePlotTestCase(unittest.TestCase): + def setUp(self): + self.fig = time_series_visualizer.draw_line_plot() + self.ax = self.fig.axes[0] + + def test_line_plot_title(self): + actual = self.ax.get_title() + expected = "Daily freeCodeCamp Forum Page Views 5/2016-12/2019" + self.assertEqual(actual, expected, "Expected line plot title to be 'Daily freeCodeCamp Forum Page Views 5/2016-12/2019'") + + def test_line_plot_labels(self): + actual = self.ax.get_xlabel() + expected = "Date" + self.assertEqual(actual, expected, "Expected line plot xlabel to be 'Date'") + actual = self.ax.get_ylabel() + expected = "Page Views" + self.assertEqual(actual, expected, "Expected line plot ylabel to be 'Page Views'") + + def test_line_plot_data_quantity(self): + actual = len(self.ax.lines[0].get_ydata()) + expected = 1238 + self.assertEqual(actual, expected, "Expected number of data points in line plot to be 1238.") + + +class BarPlotTestCase(unittest.TestCase): + def setUp(self): + self.fig = time_series_visualizer.draw_bar_plot() + self.ax = self.fig.axes[0] + + def test_bar_plot_legend_labels(self): + actual = [] + for label in self.ax.get_legend().get_texts(): + actual.append(label.get_text()) + expected = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'] + self.assertEqual(actual, expected, "Expected bar plot legend labels to be months of the year.") + + def test_bar_plot_labels(self): + actual = self.ax.get_xlabel() + expected = "Years" + self.assertEqual(actual, expected, "Expected bar plot xlabel to be 'Years'") + actual = self.ax.get_ylabel() + expected = "Average Page Views" + self.assertEqual(actual, expected, "Expected bar plot ylabel to be 'Average Page Views'") + actual = [] + for label in self.ax.get_xaxis().get_majorticklabels(): + actual.append(label.get_text()) + expected = ['2016', '2017', '2018', '2019'] + self.assertEqual(actual, expected, "Expected bar plot secondary labels to be '2016', '2017', '2018', '2019'") + + def test_bar_plot_number_of_bars(self): + actual = len([rect for rect in self.ax.get_children() if isinstance(rect, mpl.patches.Rectangle)]) + expected = 49 + self.assertEqual(actual, expected, "Expected a different number of bars in bar chart.") + + +class BoxPlotTestCase(unittest.TestCase): + def setUp(self): + self.fig = time_series_visualizer.draw_box_plot() + self.ax1 = self.fig.axes[0] + self.ax2 = self.fig.axes[1] + + def test_box_plot_number(self): + actual = len(self.fig.get_axes()) + expected = 2 + self.assertEqual(actual, expected, "Expected two box plots in figure.") + + def test_box_plot_labels(self): + actual = self.ax1.get_xlabel() + expected = "Year" + self.assertEqual(actual, expected, "Expected box plot 1 xlabel to be 'Year'") + actual = self.ax1.get_ylabel() + expected = "Page Views" + self.assertEqual(actual, expected, "Expected box plot 1 ylabel to be 'Page Views'") + actual = self.ax2.get_xlabel() + expected = "Month" + self.assertEqual(actual, expected, "Expected box plot 2 xlabel to be 'Month'") + actual = self.ax2.get_ylabel() + expected = "Page Views" + self.assertEqual(actual, expected, "Expected box plot 2 ylabel to be 'Page Views'") + actual = [] + for label in self.ax1.get_xaxis().get_majorticklabels(): + actual.append(label.get_text()) + expected = ['2016', '2017', '2018', '2019'] + self.assertEqual(actual, expected, "Expected box plot 1 secondary labels to be '2016', '2017', '2018', '2019'") + actual = [] + for label in self.ax2.get_xaxis().get_majorticklabels(): + actual.append(label.get_text()) + expected = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'] + self.assertEqual(actual, expected, "Expected box plot 2 secondary labels to be 'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'") + actual = [] + for label in self.ax1.get_yaxis().get_majorticklabels(): + actual.append(label.get_text()) + expected = ['0', '20000', '40000', '60000', '80000', '100000', '120000', '140000', '160000', '180000', '200000'] + self.assertEqual(actual, expected, "Expected box plot 1 secondary labels to be '0', '20000', '40000', '60000', '80000', '100000', '120000', '140000', '160000', '180000', '200000'") + + def test_box_plot_titles(self): + actual = self.ax1.get_title() + expected = "Year-wise Box Plot (Trend)" + self.assertEqual(actual, expected, "Expected box plot 1 title to be 'Year-wise Box Plot (Trend)'") + actual = self.ax2.get_title() + expected = "Month-wise Box Plot (Seasonality)" + self.assertEqual(actual, expected, "Expected box plot 2 title to be 'Month-wise Box Plot (Seasonality)'") + + def test_box_plot_number_of_boxes(self): + actual = len(self.ax1.lines) / 6 # Every box has 6 lines + expected = 4 + self.assertEqual(actual, expected, "Expected four boxes in box plot 1") + actual = len(self.ax2.lines) / 6 # Every box has 6 lines + expected = 12 + self.assertEqual(actual, expected, "Expected 12 boxes in box plot 2") + +if __name__ == "__main__": + unittest.main() diff --git a/9-data-analysis-python/4-page-view-time-series-visualizer/time_series_visualizer.py b/9-data-analysis-python/4-page-view-time-series-visualizer/time_series_visualizer.py new file mode 100644 index 0000000..8193c30 --- /dev/null +++ b/9-data-analysis-python/4-page-view-time-series-visualizer/time_series_visualizer.py @@ -0,0 +1,95 @@ +import matplotlib.pyplot as plt +import pandas as pd +import seaborn as sns +import numpy as np +from pandas.plotting import register_matplotlib_converters +register_matplotlib_converters() + +# Import data (Make sure to parse dates. Consider setting index column to 'date'.) +df = pd.read_csv('fcc-forum-pageviews.csv', parse_dates=True, index_col='date') + +# Clean data +df = df[df['value'] > df['value'].quantile(0.026)] +df = df[df['value'] <= df['value'].quantile(0.975)] + + +def draw_line_plot(): + # Draw line plot + fig, axes = plt.subplots(figsize=(20, 10)) + + axes.plot( + df.index, df['value'] + ) + + axes.set_title('Daily freeCodeCamp Forum Page Views 5/2016-12/2019') + axes.set_xlabel('Date') + axes.set_ylabel('Page Views') + + + + + + + # Save image and return fig (don't change this part) + fig.savefig('line_plot.png') + return fig + +def draw_bar_plot(): + # Copy and modify data for monthly bar plot + df_bar = df.copy() + df_bar['Years'] = df_bar.index.year + df_bar['Months'] = df_bar.index.month_name() + df_bar = df_bar.groupby(['Years', 'Months'], sort=False)['value'].mean().round() + df_bar = df_bar.reset_index() + df_bar = df_bar.rename({'value': 'Average Page Views'}, axis=1) + + df_bar = pd.concat([pd.DataFrame({ + 'Years': [2016, 2016, 2016, 2016], + 'Months': ['January', 'February', 'March', 'April'], + 'Average Page Views': [0, 0, 0, 0] + }), df_bar]) + + # Draw bar plot + + fig, axes = plt.subplots(figsize=(20, 10)) + + sns.barplot(data=df_bar, x='Years', y='Average Page Views', hue='Months') + + # Save image and return fig (don't change this part) + fig.savefig('bar_plot.png') + return fig + +def draw_box_plot(): + # Prepare data for box plots (this part is done!) + df_box = df.copy() + df_box.reset_index(inplace=True) + df_box['year'] = [d.year for d in df_box.date] + df_box['month'] = [d.strftime('%b') for d in df_box.date] + df_box = pd.concat([pd.DataFrame({ + 'year': [2016, 2016, 2016, 2016], + 'month': ['Jan', 'Feb', 'Mar', 'Apr'], + }), df_box]) + + # Draw box plots (using Seaborn) + plot_objects = plt.subplots(nrows=1, ncols=2, figsize=(18, 6)) + + fig, ((ax1, ax2)) = plot_objects + + sns.boxplot(df_box, x='year', y='value', ax=ax1) + sns.boxplot(df_box, x='month', y='value', ax=ax2) + + + ax1.set_title('Year-wise Box Plot (Trend)') + ax1.set_xlabel('Year') + ax1.set_ylabel('Page Views') + + + ax2.set_title('Month-wise Box Plot (Seasonality)') + ax2.set_xlabel('Month') + ax2.set_ylabel('Page Views') + + + + # Save image and return fig (don't change this part) + fig.savefig('box_plot.png') + return fig