import neurokit2 as nk
import pandas as pd
data1=pd.read_csv("sample.csv", names=["EDA"])
signals, info = nk.eda_process(data1["EDA"], sampling_rate=100, report="report.html")
Output:
The raw signal, sampled at 100 Hz, was cleaned using the default method of the neurokit2 package.
The signal was decomposed into phasic and tonic components using the method described in neurokit.
The cleaned signal was used to detect peaks using the default method of the `neurokit2` package.
References
- https://doi.org/10.21105/joss.01667
The report has been saved to report.html
---------------------------------------------------------------------------
UnicodeEncodeError Traceback (most recent call last)
Cell In[23], [line 1](vscode-notebook-cell:?execution_count=23&line=1)
----> [1](vscode-notebook-cell:?execution_count=23&line=1) signals, info = nk.eda_process(data1["EDA"], sampling_rate=100, report="report.html")
File [c:\Python312\Lib\site-packages\neurokit2\eda\eda_process.py:134](file:///C:/Python312/Lib/site-packages/neurokit2/eda/eda_process.py:134), in eda_process(eda_signal, sampling_rate, method, report, **kwargs)
[132](file:///C:/Python312/Lib/site-packages/neurokit2/eda/eda_process.py:132) else:
[133](file:///C:/Python312/Lib/site-packages/neurokit2/eda/eda_process.py:133) fig = None
--> [134](file:///C:/Python312/Lib/site-packages/neurokit2/eda/eda_process.py:134) create_report(file=report, signals=signals, info=methods, fig=fig)
[136](file:///C:/Python312/Lib/site-packages/neurokit2/eda/eda_process.py:136) return signals, info
File [c:\Python312\Lib\site-packages\neurokit2\misc\report.py:71](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:71), in create_report(file, signals, info, fig)
[69](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:69) print(f"The report has been saved to {file}")
[70](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:70) contents = [description, table_html, fig_html, ref]
---> [71](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:71) html_save(contents=contents, file=file)
File [c:\Python312\Lib\site-packages\neurokit2\misc\report.py:181](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:181), in html_save(contents, file)
[178](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:178) else:
[179](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:179) # assume the content is an interactive plotly figure and export to HTML
[180](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:180) inner_html = content.to_html().split("<body>")[1].split("</body>")[0]
--> [181](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:181) page.write(inner_html)
[182](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:182) page.write("<br>")
[183](file:///C:/Python312/Lib/site-packages/neurokit2/misc/report.py:183) page.write("</body></html>" + "\n")
File [c:\Python312\Lib\encodings\cp1252.py:19](file:///C:/Python312/Lib/encodings/cp1252.py:19), in IncrementalEncoder.encode(self, input, final)
[18](file:///C:/Python312/Lib/encodings/cp1252.py:18) def encode(self, input, final=False):
---> [19](file:///C:/Python312/Lib/encodings/cp1252.py:19) return codecs.charmap_encode(input,self.errors,encoding_table)[0]
UnicodeEncodeError: 'charmap' codec can't encode character '\u25c4' in position 291500: character maps to <undefined>
Expected behaviour
HTML report output
Screenshots
same as output
System Specifications
It's important that you give us some information about the system you are using. For that you can run:
Describe the bug My code is below:
Output:
Expected behaviour HTML report output
Screenshots same as output
System Specifications
It's important that you give us some information about the system you are using. For that you can run:
OS: Windows (WindowsPE 64bit)
Python: 3.12.1
NeuroKit2: 0.2.7
NumPy: 1.26.4
Pandas: 2.2.1
SciPy: 1.12.0
sklearn: 1.4.1.post1
matplotlib: 3.8.3
Running on ipynb notebook in VSCode