the_astronauts

the_atronauts/backend/model.py

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+!pip install pmdarima
+
+import numpy as np # linear algebra
+import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
+import matplotlib.pyplot as plt
+import datetime as dt
+from scipy.stats import pearsonr
+from sklearn.model_selection import train_test_split
+from sklearn.linear_model import LinearRegression
+from statsmodels.tsa.seasonal import seasonal_decompose
+from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
+from statsmodels.tsa.stattools import adfuller
+import pmdarima as pm
+from statsmodels.tsa.arima.model import ARIMA
+
+from learntools.time_series.style import *
+
+import os
+for dirname, _, filenames in os.walk('/kaggle/input'):
+    for filename in filenames:
+        print(os.path.join(dirname, filename))
+
+
+temperatures = pd.read_csv('./GlobalTemperatures.csv')
+temperatures.index = pd.to_datetime(temperatures.dt, format='%Y-%d-%m')
+temperatures = temperatures.drop(columns=['dt'])
+
+temperatures.head()
+
+temperatures=temperatures[['LandAverageTemperature']]
+
+temperatures.describe()
+
+max(temperatures.index)
+
+temperatures.dtypes
+
+temperatures.describe()
+
+plt.figure(figsize=(18,10))
+plt.plot(temperatures['LandAverageTemperature'])
+plt.show()
+
+temperatures['Year'] = temperatures.index.year
+
+yearly_data = temperatures['LandAverageTemperature'].asfreq('Y')
+yearly_mean = yearly_data.resample('Y').mean()
+
+df = temperatures.resample('Y').mean()
+
+plt.figure(figsize=(18,10))
+plt.plot(df['LandAverageTemperature'])
+plt.show()
+
+import matplotlib.animation as animation
+
+oneYearData = df.iloc[0:365,:]
+x = oneYearData.index
+y = oneYearData['LandAverageTemperature']
+
+fig, ax = plt.subplots()
+line, = ax.plot(x, y, "b-")
+
+def animate(i):
+    print("animating")
+    oneYearData= df.iloc[i*365:i*365+365, :]
+    x = oneYearData.index
+    y = oneYearData['LandAverageTemperature']
+
+    # Update the y-data of the line plot by shifting the sine wave horizontally
+    # line.set_xdata(x)
+    line.set_ydata(y)
+    return line,
+
+ani = animation.FuncAnimation(fig, animate, interval=10, blit=True, save_count=50)
+plt.show()
+
+import matplotlib.pyplot as plt
+import numpy as np
+import matplotlib.animation as animation
+
+# Create a figure and axis for the plot
+fig, ax = plt.subplots()
+
+# Generate x values from 0 to 2*pi with a step of 0.01
+x = np.arange(0, 2 * np.pi, 0.01)
+
+# Create a line plot of y = sin(x)
+line, = ax.plot(x, np.sin(x))
+
+# Define the animate function
+def animate(i):
+    line.set_ydata(np.sin(x + i / 50))
+    return line,
+
+# Create a FuncAnimation object
+ani = animation.FuncAnimation(fig, animate, interval=20, blit=True, save_count=50)
+
+# Display the animation in a Matplotlib window
+plt.show()
+
+decomposition = seasonal_decompose(df['LandAverageTemperature'], model='multiplicative', period=10)
+fig = decomposition.plot()
+
+temperature_px = df['LandAverageTemperature']
+df['10'] = temperature_px.rolling(window=10).mean()
+
+plt.figure(figsize=(18,10))
+ax = plt.subplot()
+ax.plot(df['LandAverageTemperature'], alpha=0.8, label='land average temperature')
+ax.plot(df['10'], color="orange", label='10-year land average temperature')
+ax.set_xticks([0,50,100,150,200,250])
+ax.set_xticklabels([1750,1800,1850,1900,1950,2000])
+plt.xlabel('Years')
+plt.ylabel('Temperature (in °C)')
+plt.grid()
+plt.legend()
+plt.show()
+plt.clf()
+
+ax = df['LandAverageTemperature'].plot(**plot_params)
+ax.set(title="Land Average Temperature per Year in the last 250 years", ylabel="Land Average Temperature")
+plt.show()
+
+trend = df['LandAverageTemperature'].rolling(
+    window=10,
+    center=True,
+    min_periods=6,
+).mean()
+
+ax = df['LandAverageTemperature'].plot(**plot_params, alpha=0.5)
+ax = trend.plot(ax=ax, linewidth=3)
+ax.set(title="Land Average Temperature in the last 250 years", ylabel="Land Average Temperature")
+plt.show()
+
+from statsmodels.tsa.deterministic import DeterministicProcess
+
+average_temperature = df['LandAverageTemperature']
+y = average_temperature.copy()  # the target
+
+# YOUR CODE HERE: Instantiate `DeterministicProcess` with arguments
+# appropriate for a cubic trend model
+dp = DeterministicProcess(index=y.index, order=3)
+X = dp.in_sample()
+X_fore = dp.out_of_sample(steps=90)
+
+model = LinearRegression()
+model.fit(X, y)
+
+y_pred = pd.Series(model.predict(X), index=X.index)
+y_fore = pd.Series(model.predict(X_fore), index=X_fore.index)
+
+ax = y.plot(**plot_params, alpha=0.5, title="Average Land Temperature", ylabel="Land Temperature")
+ax = y_pred.plot(ax=ax, linewidth=3, label="Trend", color='C0')
+ax = y_fore.plot(ax=ax, linewidth=3, label="Trend Forecast", color='C3')
+plt.xlabel('Year')
+ax.legend();
+

the_atronauts/frontend/README.md

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+# Getting Started with Create React App
+
+This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
+
+## Available Scripts
+
+In the project directory, you can run:
+
+### `npm start`
+
+Runs the app in the development mode.\
+Open [http://localhost:3000](http://localhost:3000) to view it in your browser.
+
+The page will reload when you make changes.\
+You may also see any lint errors in the console.
+
+### `npm test`
+
+Launches the test runner in the interactive watch mode.\
+See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
+
+### `npm run build`
+
+Builds the app for production to the `build` folder.\
+It correctly bundles React in production mode and optimizes the build for the best performance.
+
+The build is minified and the filenames include the hashes.\
+Your app is ready to be deployed!
+
+See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
+
+### `npm run eject`
+
+**Note: this is a one-way operation. Once you `eject`, you can't go back!**
+
+If you aren't satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
+
+Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
+
+You don't have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
+
+## Learn More
+
+You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
+
+To learn React, check out the [React documentation](https://reactjs.org/).
+
+### Code Splitting
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/code-splitting](https://facebook.github.io/create-react-app/docs/code-splitting)
+
+### Analyzing the Bundle Size
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size](https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size)
+
+### Making a Progressive Web App
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app](https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app)
+
+### Advanced Configuration
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/advanced-configuration](https://facebook.github.io/create-react-app/docs/advanced-configuration)
+
+### Deployment
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/deployment](https://facebook.github.io/create-react-app/docs/deployment)
+
+### `npm run build` fails to minify
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify](https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify)