I am using ADTK for anomaly detection and matplotlib for the visualization, but I am getting errors trying to run my program. This is my code and I run using python3
import pandas as pdimport matplotlib.pyplot as pltimport matplotlib.dates as mdatesfrom adtk.data import validate_seriesfrom adtk.visualization import plotfrom adtk.detector import PersistADdata = pd.read_csv('SQL_bytes_sent_ferdig.csv', index_col="time", parse_dates=True)# Convert the index to a DatetimeIndex explicitly if it's not alreadydata.index = pd.to_datetime(data.index, utc=True)# Add 1 hour to the indexdata.index = data.index + pd.Timedelta(hours=1)data_valid = validate_series(data)persist_ad = PersistAD(c=3.0, side='positive')anomalies = persist_ad.fit_detect(data_valid)plot(data_valid, anomaly=anomalies, ts_linewidth=1, ts_markersize=3, anomaly_markersize=3, anomaly_color='red', anomaly_tag="marker");Running this gives the following error:
/home/ubuntu/ad/sql_ad.py:1: DeprecationWarning:Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)but was not found to be installed on your system.If this would cause problems for you,please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466 import pandas as pd/home/ubuntu/.local/lib/python3.10/site-packages/adtk/detector/_detector_1d.py:270: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'nan' has dtype incompatible with bool, please explicitly cast to a compatible dtype first. predicted[s.isna()] = np.nan/home/ubuntu/.local/lib/python3.10/site-packages/adtk/detector/_detector_1d.py:141: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'nan' has dtype incompatible with bool, please explicitly cast to a compatible dtype first. predicted[s.isna()] = np.nan/home/ubuntu/.local/lib/python3.10/site-packages/adtk/aggregator/_aggregator.py:211: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'nan' has dtype incompatible with bool, please explicitly cast to a compatible dtype first. predicted[predicted & lists.isna().any(axis=1)] = float("nan")Traceback (most recent call last): File "/home/ubuntu/.local/lib/python3.10/site-packages/matplotlib/style/core.py", line 137, in use style = _rc_params_in_file(style) File "/home/ubuntu/.local/lib/python3.10/site-packages/matplotlib/__init__.py", line 866, in _rc_params_in_file with _open_file_or_url(fname) as fd: File "/usr/lib/python3.10/contextlib.py", line 135, in __enter__ return next(self.gen) File "/home/ubuntu/.local/lib/python3.10/site-packages/matplotlib/__init__.py", line 843, in _open_file_or_url with open(fname, encoding='utf-8') as f:FileNotFoundError: [Errno 2] No such file or directory: 'seaborn-whitegrid'The above exception was the direct cause of the following exception:Traceback (most recent call last): File "/home/ubuntu/ad/sql_ad.py", line 22, in <module> plot(data_valid, anomaly=anomalies, ts_linewidth=1, ts_markersize=3, anomaly_markersize=3, anomaly_color='red', anomaly_tag="marker"); File "/home/ubuntu/.local/lib/python3.10/site-packages/adtk/visualization/_visualization.py", line 201, in plot plt.style.use("seaborn-whitegrid") File "/home/ubuntu/.local/lib/python3.10/site-packages/matplotlib/style/core.py", line 139, in use raise OSError(OSError: 'seaborn-whitegrid' is not a valid package style, path of style file, URL of style file, or library style name (library styles are listed in `style.available`)I have looked into other posts with similar problems and tried to specify which style to use in my code, where I have the following styles:
import matplotlib.pyplot as plt# plt.style.use(['science', 'notebook'])print(plt.style.available)Gives:
['Solarize_Light2', '_classic_test_patch', '_mpl-gallery', '_mpl-gallery-nogrid', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn-v0_8', 'seaborn-v0_8-bright', 'seaborn-v0_8-colorblind', 'seaborn-v0_8-dark', 'seaborn-v0_8-dark-palette', 'seaborn-v0_8-darkgrid', 'seaborn-v0_8-deep', 'seaborn-v0_8-muted', 'seaborn-v0_8-notebook', 'seaborn-v0_8-paper', 'seaborn-v0_8-pastel', 'seaborn-v0_8-poster', 'seaborn-v0_8-talk', 'seaborn-v0_8-ticks', 'seaborn-v0_8-white', 'seaborn-v0_8-whitegrid', 'tableau-colorblind10']But none of them changes the error. Running it in Jupytor Notebook it works and I dont even have to specify which plot to use. I tried installing seaborn using pip but still nothing works.