I've tried to do pairplot by seaborn with my csv data (this link) by follow code according to seaborn site.
import numpy as np import matplotlib.pyplot as plt import seaborn as sns import pandas as pd freq_data = pd.read_csv('C:\\Users\\frequency.csv') freq = sns.load_dataset(freq_data) df = sns.pairplot(iris, hue="condition", height=2.5) plt.show() the results show the trackback of ambiguous of dataframe
Traceback (most recent call last): File "\.vscode\test.py", line 8, in <module> freq = sns.load_dataset(freq_data) File "\site-packages\seaborn\utils.py", line 485, in load_dataset if name not in get_dataset_names(): File "\site-packages\pandas\core\generic.py", line 1441, in __nonzero__ raise ValueError( ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). I've checked my data and result it here
condition area sphericity aspect_ratio 0 20 kHz 0.249 0.287 1.376 1 20 kHz 0.954 0.721 1.421 2 20 kHz 0.118 0.260 1.409 3 20 kHz 0.540 0.552 1.526 4 20 kHz 0.448 0.465 1.160 .. ... ... ... ... 310 30 kHz 6.056 0.955 2.029 311 30 kHz 4.115 1.097 1.398 312 30 kHz 11.055 1.816 1.838 313 30 kHz 4.360 1.183 1.162 314 30 kHz 10.596 0.940 1.715 [315 rows x 4 columns] <class 'pandas.core.frame.DataFrame'> RangeIndex: 315 entries, 0 to 314 Data columns (total 4 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 condition 315 non-null object 1 area 315 non-null float64 2 sphericity 315 non-null float64 3 aspect_ratio 315 non-null float64 dtypes: float64(3), object(1) memory usage: 10.0+ KB I have no ideas what happen with my dataframe :( Please advice me to solve these problem
Thank you everyone
https://stackoverflow.com/questions/66468113/truth-value-of-a-dataframe-is-ambiguous-use-a-empty-a-bool-a-item-a-any March 04, 2021 at 11:22AM
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