Morten Hjorth-Jensen
90 lines
4.0 KiB
Plaintext
90 lines
4.0 KiB
Plaintext
Traceback (most recent call last):
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution
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executenb(
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 1087, in execute
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return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
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return just_run(coro(*args, **kwargs))
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
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return loop.run_until_complete(coro)
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
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return future.result()
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 540, in async_execute
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await self.async_execute_cell(
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 832, in async_execute_cell
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self._check_raise_for_error(cell, exec_reply)
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 740, in _check_raise_for_error
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raise CellExecutionError.from_cell_and_msg(cell, exec_reply['content'])
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nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
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------------------
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%matplotlib inline
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# Common imports
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import os
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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from sklearn.linear_model import LinearRegression, Ridge, Lasso
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from sklearn.model_selection import train_test_split
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from sklearn.utils import resample
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from sklearn.metrics import mean_squared_error
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from IPython.display import display
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from pylab import plt, mpl
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plt.style.use('seaborn')
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mpl.rcParams['font.family'] = 'serif'
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# Where to save the figures and data files
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PROJECT_ROOT_DIR = "Results"
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FIGURE_ID = "Results/FigureFiles"
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DATA_ID = "DataFiles/"
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if not os.path.exists(PROJECT_ROOT_DIR):
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os.mkdir(PROJECT_ROOT_DIR)
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if not os.path.exists(FIGURE_ID):
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os.makedirs(FIGURE_ID)
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if not os.path.exists(DATA_ID):
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os.makedirs(DATA_ID)
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def image_path(fig_id):
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return os.path.join(FIGURE_ID, fig_id)
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def data_path(dat_id):
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return os.path.join(DATA_ID, dat_id)
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def save_fig(fig_id):
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plt.savefig(image_path(fig_id) + ".png", format='png')
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infile = open(data_path("chddata.csv"),'r')
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# Read the chd data as csv file and organize the data into arrays with age group, age, and chd
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chd = pd.read_csv(infile, names=('ID', 'Age', 'Agegroup', 'CHD'))
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chd.columns = ['ID', 'Age', 'Agegroup', 'CHD']
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output = chd['CHD']
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age = chd['Age']
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agegroup = chd['Agegroup']
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numberID = chd['ID']
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display(chd)
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plt.scatter(age, output, marker='o')
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plt.axis([18,70.0,-0.1, 1.2])
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plt.xlabel(r'Age')
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plt.ylabel(r'CHD')
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plt.title(r'Age distribution and Coronary heart disease')
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plt.show()
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------------------
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[0;31m---------------------------------------------------------------------------[0m
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[0;31mFileNotFoundError[0m Traceback (most recent call last)
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[0;32m<ipython-input-1-a77d5ac269b2>[0m in [0;36m<module>[0;34m[0m
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[1;32m 38[0m [0mplt[0m[0;34m.[0m[0msavefig[0m[0;34m([0m[0mimage_path[0m[0;34m([0m[0mfig_id[0m[0;34m)[0m [0;34m+[0m [0;34m".png"[0m[0;34m,[0m [0mformat[0m[0;34m=[0m[0;34m'png'[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
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[1;32m 39[0m [0;34m[0m[0m
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[0;32m---> 40[0;31m [0minfile[0m [0;34m=[0m [0mopen[0m[0;34m([0m[0mdata_path[0m[0;34m([0m[0;34m"chddata.csv"[0m[0;34m)[0m[0;34m,[0m[0;34m'r'[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
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[0m[1;32m 41[0m [0;34m[0m[0m
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[1;32m 42[0m [0;31m# Read the chd data as csv file and organize the data into arrays with age group, age, and chd[0m[0;34m[0m[0;34m[0m[0;34m[0m[0m
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[0;31mFileNotFoundError[0m: [Errno 2] No such file or directory: 'DataFiles/chddata.csv'
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FileNotFoundError: [Errno 2] No such file or directory: 'DataFiles/chddata.csv'
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